Talk Keyword Index

TALK KEYWORD INDEX

This page contains an index consisting of author-provided keywords.

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2D 3D GAN	Comparative Evaluation of Lung Cancer CT Image Synthesis with Generative Adversarial Networks
3
3D Face Database	State-of-the-art in 3D face reconstruction from a single RGB image
3D Face Reconstruction	State-of-the-art in 3D face reconstruction from a single RGB image
3D grids	AI-accelerated CFD simulation based on OpenFOAM and CPU/GPU computing
3D Morphable Model	State-of-the-art in 3D face reconstruction from a single RGB image
3D object classification	Vicinity-based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification
3D printing	Real-time Object Detection for Smart Connected Worker in 3D printing
3D shape	Semantic similarity metric learning for sketch-based 3D shape retrieval
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\varphi-functions	Exploiting the Kronecker product structure of \varphi-functions with applications to exponential time integrators
A
absorption	Modeling and Simulation of Atmospheric Water Generation Unit Using Anhydrous Salts
Abstractive Summarization	A Gist Information Guided Neural Network for Abstractive Summarization
accuracy-computation trade-off	Place Inference via Graph-based One-class Decisions on Deep Embeddings and Blur Detections
acute coronary syndrome	Modelling Hospital Strategies in City-Scale Ambulance Dispatching
Acute ischaemic stroke	Two-Way Coupling Between 1-D Blood Flow and 3-D Tissue Perfusion Models
acute ischemic stroke	Uncertainty Quantification of Coupled 1D Arterial Blood Flow and 3D Tissue Perfusion Models Using the INSIST Framework
adaptation	Reconstruction of Long-Lived Particles in LHCb CERN Project by Data Analysis and Computational Intelligence Methods
Adaptive algorithm	Multilevel adaptive Lagrange-Galerkin methods for unsteady incompressible viscous flows
Adaptive algorithms	Deep learning driven self-adaptive hp finite element method
Adaptive Causal Modeling	Regaining Cognitive Control: An Adaptive Computational Model Involving Neural Correlates of Stress, Control and Intervention
Adaptive Network	How Attachment to your Primary Caregiver Influences your First Adult Relationship: An Adaptive Network Model of Attachment Theory
Adaptive network model	An Adaptive Network Model for Procrastination Behaviour Including Self-Regulation and Emotion Regulation
Adaptive signal control	Smoothing Speed Variability in Age-Friendly Urban Traffic Management
ADI methods	A Semi-implicit Backward Differentiation ADI Method for Solving Monodomain Model
adiabatic quantum computing	Adiabatic Quantum Feature Selection for Sparse Linear Regression
Adjacent Buildings	Optimum Design of Tuned Mass Dampers for Adjacent Structures via Flower Pollination Algorithm
Adjoint checkpointing	Revolve-Based Adjoint Checkpointing for Multistage Time Integration
Advanced high frequency satellite	Endogenous factors affecting the cost of large-scale geo-stationary satellite systems
Affective Computing	EEG-Based Emotion Recognition Using Convolutional Neural Networks
Age-friendly cities	Smoothing Speed Variability in Age-Friendly Urban Traffic Management
Agent-Based Model	Simulation modeling of epidemic risk in supermarkets: Investigating the impact of social distancing and checkout zone design An innovative employment of NetLogo AIDS model in developing a new chain coding mechanism for compression Co-evolution of Knowledge Diffusion and Absorption: A Simulation-Based Analysis How Do Teams of Novice Modelers Choose An Approach? An Iterated, Repeated Experiment In A First-Year Modeling Course The Necessity and Difficulty of Navigating Uncertainty to Develop an Individual-Level Computational Model
agent-based modeling	Data Assimilation in Agent-Based Modeling of Virtual Hospital Indoor Activity for Scheduling and Optimization Agent-based Modeling of Social Phenomena for High Performance Distributed Simulations
Agent-Based Modeling (ABM)	A multi-cell cellular automata model of traffic flow with emergency vehicles: effect of a corridor of life
Agent-based Modelling	Comparison of polynomial chaos expansion and stochastic collocation methods: A case study in forced migration Towards a coupled migration and weather simulation: South Sudan conflict
Agent-Based Models	Efficient calibration of a financial agent-based model using the method of simulated moments
Agent-Based Simulation	How to reach consensus? Better disagree with your neighbor. The evolution of political views within the model with two binary opinions.
agent-based simulations	Non-Majors Biology with Laboratories Using Computer Simulations
AI	The Methods and Approaches of Explainable Artificial Intelligence
AI acceleration for CFD	AI-accelerated CFD simulation based on OpenFOAM and CPU/GPU computing
AI in Health Science	A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD Desensitization Due to Overstimulation: A Second-Order Adaptive Network Model
AI-driven Analytics	Data preprocessing, aggregation and clustering for agile manufacturing based on Automated Guided Vehicles
AI-Driven Simulation	NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework
AIDS	An innovative employment of NetLogo AIDS model in developing a new chain coding mechanism for compression
Air Quality	Evaluating WRF-BEP/BEM performance: on the way to analyze urban air quality at high resolution using WRF-Chem+BEP/BEM
aircraft maintenance	Corrosion detection on aircraft fuselage with multi-teacher knowledge distillation
Allocation	Optimization of Resources Allocation in High Performance Computing under Utilization Uncertainty
Alzheimer's disease	Pathology dynamics in healthy-toxic protein interaction and the multiscale analysis of neurodegenerative diseases
ambulance dispatching	Modelling Hospital Strategies in City-Scale Ambulance Dispatching
Amyloid-beta and tau proteins	Pathology dynamics in healthy-toxic protein interaction and the multiscale analysis of neurodegenerative diseases
analysis	Towards understanding time varying triangle meshes
Analysis of variance	Analysis of variance application in the construction of classifier ensemble based on optimal feature subset for the task of supporting glaucoma diagnosis
Analytic Hierarchy Process	Optimization of Selection of Tests in Diagnosing the Patient by General Practitioner
analytical mathematical expressions	Composite generalized elliptic curve-based surface reconstruction
anhydrous salts	Modeling and Simulation of Atmospheric Water Generation Unit Using Anhydrous Salts
animals activity	Bluetooth Low Energy Livestock Positioning for Smart Farming Applications
animation	Towards understanding time varying triangle meshes
anomaly detection	Dataset for anomalies detection in 3D printing TS-Bert: Time-series Anomaly Detection via Pre-training Model Bert
ant colony	Application of the Ant Colony algorithm for routing in next generation programmable networks
Antenna design	Expedited Trust-Region-Based Design Closure of Antennas by Variable-Resolution EM Simulations
Antenna systems	On Fast Multi-Objective Optimization of Antenna Structures Using Pareto Front Triangulation and Inverse Surrogates
Application traffic classification	HSLF: HTTP Header Sequence based LSH fingerprints for Application Traffic Classification
Application-aware network	Machine-Learning Based Prediction of Multiple Types of Network Traffic
approximate matching	Fast Approximate String Search for Wikification
approximation error	A comparison of the Richardson extrapolation and the approximation error estimation on the ensemble of numerical solutions
approximation methods	Fast and Accurate Determination of Graph Node Connectivity Leveraging Approximate Methods
Aquaculture	Monitoring the Uniformity of Fish Feeding Based on Image Feature Analysis
arteriovenous fistula	Applying DCT combined cepstrum for arteriovenous fistula state estimation
Artificial Intelligence	Using Randomized Sub-data Sets for an Ensemble of Deep Learning Models to enhance Robustness AI-based optimization of earthquake fiber bundle models using reinforcement learning Application of the Ant Colony algorithm for routing in next generation programmable networks
Artificial Neural Network	Interpreting Neural Networks Prediction for a Single Instance via Random Forest Feature Contributions
Artificial Neural Networks	Neural Networks for Conditioning Surface-Based Geological Models with Uncertainty Analysis
artificial sport trainer	Discovering the influence of interruptions in cycling training: A data science study
ARX	Forecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) method
asphalt concrete	MsFEM upscaling for coupled thermo-mechanical problem
association rule mining	I/O Associations in Scientific Software: A Study of SWMM
assortment	Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions
Atmospheric water	Modeling and Simulation of Atmospheric Water Generation Unit Using Anhydrous Salts
Attachment Pattern	How Attachment to your Primary Caregiver Influences your First Adult Relationship: An Adaptive Network Model of Attachment Theory
Attachment Theory	How Attachment to your Primary Caregiver Influences your First Adult Relationship: An Adaptive Network Model of Attachment Theory
Attention mechanism	Exploiting Extensive External Information for Event Detection through Semantic Networks Word Representation and Attention Map
attention model	MAM: A Metaphor-based Approach for Mental Illness Detection
Atypical Element (Outlier)	Predicted Distribution Density Estimation for Streaming Data
Auditable Blockchain Voting System	Implementation of Auditable Blockchain Voting System with Hyperledger Fabric
Augmented Reality	A Decision Support System Based on Augmented Reality for the Safe Preparation of Chemotherapy Drugs
autistic learning model	Mimicking learning for 1-NN classifiers
Autoencoder	Auto-Encoded Reservoir Computing for Turbulence Learning Learning Invariance in Deep Neural Networks Electrocardiogram Quality Assessment with Autoencoder Recurrent Autoencoder with Sequence-Aware Encoding
Automata identification	Exact Searching for the Smallest Deterministic Automaton
Automated Planning	An Efficient Hybrid Planning Framework for In-Station Train Dispatching
Automated Search	ASH: A New Tool for Automated and Full-Text Search in Systematic Literature Reviews
Automatic Differentiation	Automatic-differentiated Physics-Informed Echo State Network (API-ESN)
Automatic Surface Sculpting	Automatic Optimization Method based on mesh morphing surface sculpting driven by Biological Growth Method: an application to the Coiled Spring section shape
Autonomous Guided Vehicles (AGV)	Data preprocessing, aggregation and clustering for agile manufacturing based on Automated Guided Vehicles Challenges associated with sensors and data fusion for AGV-driven smart manufacturing
autonomous machine learning	I-80 Closures: An Autonomous Machine Learning Approach
Availability	Optimization of Resources Allocation in High Performance Computing under Utilization Uncertainty
AWS Lambda	Serverless Nanopore Basecalling with AWS Lambda
Azure	Object-Oriented Internet - Cloud Interoperability
B
Bagging method	Application of the bagging method and the decision trees to independent data sources
basecalling	Serverless Nanopore Basecalling with AWS Lambda
Bayesian Inference	Comparison of Efficiency, Stability and Interpretability of Feature Selection Methods for Multiclassification Task on Medical Tabular Data Data Assimilation using Heteroscedastic Bayesian Neural Network Ensembles for Reduced-Order Flame Models
Bayesian networks	Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks
Behavior trees	Smart Events in Behavior of Non-player characters in Computer Games
bias	Classifying Functional Data from Orthogonal Projections -- model, properties and fast implementation
Big Data	Big Data for National Security in the Era of COVID-19 Estimation of Road Lighting Power Efficiency Using Graph-Controlled Spatial Data Interpretation Computational Intelligence Techniques for Assessing Data Quality: Towards Knowledge-Driven Processing RNACache: Fast Mapping of RNA-Seq Reads to Transcriptomes using MinHashing
Big Science	Does In Silico Medicine need Big Science?
Binary Linear Programming Problem	Optimization of Selection of Tests in Diagnosing the Patient by General Practitioner
bioinformatics	Serverless Nanopore Basecalling with AWS Lambda Metagenomic analysis at the edge with Jetson Xavier NX RNACache: Fast Mapping of RNA-Seq Reads to Transcriptomes using MinHashing
biological signal	Analysis of complex partial seizure using non-linear duffing Van der Pol oscillator model
biology	Non-Majors Biology with Laboratories Using Computer Simulations
Biot's model	Poroelasticity Modules for \texttt{DarcyLite}
Blockchain	Implementation of Auditable Blockchain Voting System with Hyperledger Fabric
Blood flow	Undergraduate Capstone Project on One Dimensional Flow Problem
blood flow model	Stenosis assessment via volumetric flow rate calculation
blood flow modelling	Uncertainty Quantification of Coupled 1D Arterial Blood Flow and 3D Tissue Perfusion Models Using the INSIST Framework
Blood flow simulations	Two-Way Coupling Between 1-D Blood Flow and 3-D Tissue Perfusion Models
Bluetooth Low Energy	Bluetooth Low Energy Livestock Positioning for Smart Farming Applications
blur detection	Place Inference via Graph-based One-class Decisions on Deep Embeddings and Blur Detections
Boltzmann equations	AIHPC4AS KEYNOTE: The Discontinuous Petrov-Galerkin (DPG) Method for Convection-Reaction Problems
borehole electromagnetic measurements	Deep learning model of logging-while-drilling electromagnetic measurements
boundary penalty	Outlier removal for isogeometric spectral approximation with the optimally-blended quadratures
boundary value problems	Advantages of interval modification of NURBS curves in modeling uncertain boundary shape in boundary value problems
Building Energy Management	Towards data-driven simulation models for building energy management
Burnout	Simulation of Burnout Processes by a Multi-Order Adaptive Network Model
Bézier curves	Comprehensive regularization of PIES for problems modeled by 2D Laplace’s equation
C
Cahn-Hilliard equations	A three-level linearized time integration scheme for tumor simulations with Cahn-Hilliard equations
camera calibration	Football Players Movement Analysis in Panning Videos
Cancer pathways	PathMEx: Pathway-based Mutual Exclusivity for Discovering Rare Cancer Driver Mutations
Capsule Network	Capsule Network versus Convolutional Neural Network in Image Classification Comparative Analysis
Cardiac Myocyte	Modeling the electromechanics of a single cardiac myocyte
carsharing	Efficient prediction of spatio-temporal events on the example of the availability of vehicles rented per minute
Causal inference	Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks
Causal Loop Diagram	Refining the causal loop diagram: a tutorial for maximizing the contribution of domain expertise in computational system dynamics modeling
Causal Map	The Necessity and Difficulty of Navigating Uncertainty to Develop an Individual-Level Computational Model
CBIR of solar images	Grid-Based Concise Hash for Solar Images
CDC-F technology	Modeling traffic forecasts with probability in DWDM optical networks
Cellular Automat	How Do Teams of Novice Modelers Choose An Approach? An Iterated, Repeated Experiment In A First-Year Modeling Course
Cellular Automata (CA)	A multi-cell cellular automata model of traffic flow with emergency vehicles: effect of a corridor of life
CENA method	Error estimation and correction using the forward CENA method
Central Idea	Human-like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling
Cepstrum	Applying DCT combined cepstrum for arteriovenous fistula state estimation
Cerebral tissue perfusion	Two-Way Coupling Between 1-D Blood Flow and 3-D Tissue Perfusion Models
chain code	An innovative employment of NetLogo AIDS model in developing a new chain coding mechanism for compression
Chaos	From macro to micro and back: Microstates initialization from chaotic aggregate time series
Chart data extraction	ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-based Computational Model
Chart images	ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-based Computational Model
Chart type classification	ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-based Computational Model
Checkout zone design	Simulation modeling of epidemic risk in supermarkets: Investigating the impact of social distancing and checkout zone design
Chemical dissolution	Digital image reduction for analysis of topological changes in pore space during chemical dissolution
chemical mixing	AI-accelerated CFD simulation based on OpenFOAM and CPU/GPU computing
Chemotherapy Drugs Preparation	A Decision Support System Based on Augmented Reality for the Safe Preparation of Chemotherapy Drugs
city	Efficient prediction of spatio-temporal events on the example of the availability of vehicles rented per minute
Class imbalance	Clustering and Weighted Scoring Algorithm Based on Estimating the Number of Clusters
Classification	Improvement of random undersampling to avoid excessive removal of points from a given area of the majority class Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions Learning from Imbalanced Data Streams based on Over-Sampling and Instance Selection EEG-based Emotion Recognition – Evaluation Methodology Revisited Application of Multi-Objective Optimization to Feature Selection for a Difficult Data Classification Task Music genre classification: looking for the Perfect Network Classification using a two-qubit quantum chip Soft Confusion Matrix Classifier for Stream Classification
classification models	Applying DCT combined cepstrum for arteriovenous fistula state estimation
Classification trees	Application of the bagging method and the decision trees to independent data sources
Classifier ensemble	Clustering-based Ensemble Pruning in the Imbalanced Data Classification
Classifier ensembles	Analysis of variance application in the construction of classifier ensemble based on optimal feature subset for the task of supporting glaucoma diagnosis
Classifier Learning	Chosen Challenges of Imbalanced Data Stream Classification
classifying signals	Classifying Functional Data from Orthogonal Projections -- model, properties and fast implementation
Click-Through Rate	Fast Click-Through Rate Estimation using Data Aggregates
Climate Research	A Semi-Supervised Approach for Trajectory Segmentation to Identify Different Moisture Processes in the Atmosphere
clinical pathway	Discovering the diversity of patient treatment decisions through clinical pathways modeling and physician profiling
closed form solutions	Shape reconstruction from point clouds using closed form solution of a fourth-order partial differential equation
cloud bursting	Scientific workflow management on hybrid clouds with cloud bursting and transparent data access
cloud computing	Serverless Nanopore Basecalling with AWS Lambda Metagenomic analysis at the edge with Jetson Xavier NX Comparison of Speech Recognition and Natural Language Understanding Frameworks for Detection of Dangers with Smart Wearables Object-Oriented Internet - Cloud Interoperability
Cloud-based simulations	Identifying Synergistic Interventions to Address COVID-19 Using a Large Scale Agent-Based Model
clustering	Augmenting automatic clustering with expert knowledge and explanations Hierarchical Analysis of Halo Center in Cosmology DenLAC: Density Levels Aggregation Clustering - A Flexible Clustering Method
Clustering analysis	Higher-order hierarchical spectral clustering for multidimensional data
CNN	EEG-Based Emotion Recognition Using Convolutional Neural Networks EEG-based Emotion Recognition – Evaluation Methodology Revisited
CNNs	Place Inference via Graph-based One-class Decisions on Deep Embeddings and Blur Detections
coagulation	On the design of Monte-Carlo particle coagulation solver interface: a CPU/GPU Super-Droplet Method case study with PySDM
Cognition	Theory of Mind Helps to Predict Neurodegenerative Processes in Parkinson's Disease Regaining Cognitive Control: An Adaptive Computational Model Involving Neural Correlates of Stress, Control and Intervention
Coiled Spring	Automatic Optimization Method based on mesh morphing surface sculpting driven by Biological Growth Method: an application to the Coiled Spring section shape
Cold-start	Model of the Cold-start Recommender System Based on the Petri-Markov Nets Quality of Recommendations and Cold-start Problem in Recommender Systems based on Multi-Clusters
Collaboration Platform	Quantum Data Hub: A Collaborative Data and Analysis Platform for Quantum Material Science
Collaborative filtering	Quality of Recommendations and Cold-start Problem in Recommender Systems based on Multi-Clusters
Collaborative Learning	A collaborative peer review process for grading coding assignments in coursework
Collaborative signal control	Smoothing Speed Variability in Age-Friendly Urban Traffic Management
Collaborative vehicle routing	Smoothing Speed Variability in Age-Friendly Urban Traffic Management
Collective intelligence	An Intelligent Social Collective with Facebook-based Communication
Collective model	An Intelligent Social Collective with Facebook-based Communication
Collective of agents	The Power of a Collective: Team of Agents Solving Instances of the Flow Shop and Job Shop Problems
collision detection	Effective Car Collision Detection with Mobile Phone Only
Combinatorial Optimization Problems	The Power of a Collective: Team of Agents Solving Instances of the Flow Shop and Job Shop Problems
COMET	A New Approach to Eliminate Rank Reversal in the MCDA problems New rank-reversal free approach to handle interval data in MCDA problems
comparative analysis	Capsule Network versus Convolutional Neural Network in Image Classification Comparative Analysis
Compiler	The OpenPME Problem Solving Environment for Numerical Simulations
Complex algorithms	New On-Line Algorithms for Modelling, Identification and Simulation of Non-Linear Multidimensional Dynamic Systems Using Modulating Functions and Non-Asymptotic State Estimators: Case Study for a Chosen Physical Process
Complex Networks	Monte-Carlo Approach to the Computational Capacities Analysis of the Computing Continuum Relation order histograms as a network embedding tool
Complex Neurite Networks	Material Transport Simulation in Complex Neurite Networks Using Isogeometric Analysis and Machine Learning Techniques
Complex Social Systems	How to reach consensus? Better disagree with your neighbor. The evolution of political views within the model with two binary opinions.
complex systems	Three-state opinion q-voter model with bounded confidence
Complexity	Refining the causal loop diagram: a tutorial for maximizing the contribution of domain expertise in computational system dynamics modeling Similarity and Conformity Graphs in Lighting Optimization and Assessment
composite generalized elliptic curve-based surface reconstruction	Composite generalized elliptic curve-based surface reconstruction
composite generalized elliptic curves	Composite generalized elliptic curve-based surface reconstruction
Composite Materials	Machine Learning Control Design for Elastic Composite Materials
Compositional flow	Mathematical Modeling of the Single-Phase Multicomponent Flow in Porous Media
Compositional simulations	Multi-phase compressible compositional simulations with phase equilibrium computation in the VTN specification
compression	An innovative employment of NetLogo AIDS model in developing a new chain coding mechanism for compression
computational cognition	A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD Desensitization Due to Overstimulation: A Second-Order Adaptive Network Model
computational epidemiology	Uncertainty quantification of COVID-19 exit strategies in an individual-based and geographically stratified transmission model
Computational Fluid Dynamics	NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework
computational intelligence	Reconstruction of Long-Lived Particles in LHCb CERN Project by Data Analysis and Computational Intelligence Methods Computational Intelligence Techniques for Assessing Data Quality: Towards Knowledge-Driven Processing
computational methods	Comprehensive regularization of PIES for problems modeled by 2D Laplace’s equation
Computational Methods for PDEs	An application of a pseudo-parabolic modeling to texture image recognition
Computational Model	Monte-Carlo Approach to the Computational Capacities Analysis of the Computing Continuum
computational neuroscience	Biophysical Modeling of Excitable Cells - a new Approach to Undergraduate Computational Biology Curriculum Development
Computational Physiology	Uncertainty Quantification of Tissue Damage Due to Blood Velocity in Hyperthermia Cancer Treatments
Computational Science	Model-based approach to automated provisioning of collaborative educational services
Computer Animation	ELSA: Euler-Lagrange Skeletal Animations - novel and fast motion model applicable to VR/AR devices
Computer simulation	An attempt to replace System Dynamics with Discrete Rate Modeling in demographic simulations
computer simulations	Non-Majors Biology with Laboratories Using Computer Simulations
Computer-Generated Holograms (CGH)	Optimizations of a Generic Holographic Projection Model for GPU's
Computing	Optimization of Resources Allocation in High Performance Computing under Utilization Uncertainty
Computing Continuum	Monte-Carlo Approach to the Computational Capacities Analysis of the Computing Continuum
conditional multiinformation	Detection of conditional dependence between multiple variables using multiinformation
Conflict resolution	Resolving Policy Conflicts for Cross-Domain Access Control: A Double Auction Approach
conformity graph	Similarity and Conformity Graphs in Lighting Optimization and Assessment
Connectionist Temporal Classification	Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets
consistency coefficient	A New Consistency Coefficient in the Multi-Criteria Decision Analysis Domain
Consistency Loss	A Gist Information Guided Neural Network for Abstractive Summarization
Constrained Hamiltonian	Cross Entropy Optimization of Constrained Problem Hamiltonians for Quantum Annealing
Constraint satisfaction problem	Validating Optimal COVID-19 Vaccine Distribution Models
consumer behaviour	Dynamic pricing and discounts by means of interactive presentation systems in stationary point of sales
Continuous Integration	A collaborative peer review process for grading coding assignments in coursework
Contracted capacity	Two stage approach to optimize electricity contract capacity problem for commercial customers
Control	Optimum Design of Tuned Mass Dampers for Adjacent Structures via Flower Pollination Algorithm
Convection-Reaction	AIHPC4AS KEYNOTE: The Discontinuous Petrov-Galerkin (DPG) Method for Convection-Reaction Problems
convective scale	Intelligent Camera Cloud Operators for Convective Scale Numerical Weather Prediction
Convergence	Analytic and Numerical Solutions of Space-Time Fractional Diffusion Wave Equations with different Fractional order
Convolutional Autoencoder	Data Assimilation in the Latent Space of a Convolutional Autoencoder
Convolutional GRU	Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods
Convolutional Network	Capsule Network versus Convolutional Neural Network in Image Classification Comparative Analysis
Convolutional Neural Network	Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets Music genre classification: looking for the Perfect Network
Convolutional Neural Network (CNN)	ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-based Computational Model
convolutional neural networks	Intelligent Camera Cloud Operators for Convective Scale Numerical Weather Prediction EEG-Based Emotion Recognition Using Convolutional Neural Networks AI-accelerated CFD simulation based on OpenFOAM and CPU/GPU computing Deep convolutional neural networks in application to kidney segmentation in the DCE-MR images Fast Approximate String Search for Wikification Corrosion detection on aircraft fuselage with multi-teacher knowledge distillation Automated Method for Evaluating Neural Network's Attention Focus A Deep Learning Approach for Polycrystalline Microstructure-Statistical Property Prediction Deep Embedding Features for Action Recognition on Raw Depth Maps
Copy-Mechanism	Data Augmentation for Copy-Mechanism in Dialogue State Tracking
coronary arteries	Stenosis assessment via volumetric flow rate calculation
Cost modeling	Endogenous factors affecting the cost of large-scale geo-stationary satellite systems
Cost overrun	Endogenous factors affecting the cost of large-scale geo-stationary satellite systems
cost-sensitive	Application of Multi-Objective Optimization to Feature Selection for a Difficult Data Classification Task
cost-sensitive feature selection	Controlling costs in feature selection: information theoretic approach
Coupled multiscale models	Pathology dynamics in healthy-toxic protein interaction and the multiscale analysis of neurodegenerative diseases
COVID-19	How has the COVID-19 Pandemic affected working conditions for Research Software Engineers? Uncertainty quantification of COVID-19 exit strategies in an individual-based and geographically stratified transmission model Simulation modeling of epidemic risk in supermarkets: Investigating the impact of social distancing and checkout zone design How fast vaccination can control the COVID-19 pandemic in Brazil? Big Data for National Security in the Era of COVID-19 Validating Optimal COVID-19 Vaccine Distribution Models
CPU/GPU computing	AI-accelerated CFD simulation based on OpenFOAM and CPU/GPU computing
Cross entropy method	Cross Entropy Optimization of Constrained Problem Hamiltonians for Quantum Annealing
Cross-Domain Collaboration	Resolving Policy Conflicts for Cross-Domain Access Control: A Double Auction Approach
Cross-sectional analysis	An attempt to replace System Dynamics with Discrete Rate Modeling in demographic simulations
Cryptanalysis	Index calculus method for solving elliptic curve discrete logarithm problem using quantum annealing
CT image synthesis	Comparative Evaluation of Lung Cancer CT Image Synthesis with Generative Adversarial Networks
CUDA	Optimizations of a Generic Holographic Projection Model for GPU's
curriculum development	Biophysical Modeling of Excitable Cells - a new Approach to Undergraduate Computational Biology Curriculum Development
curve modelling	Composite generalized elliptic curve-based surface reconstruction
CVSS score	Machine learning algorithms for conversion of CVSS base score from 2.0 to 3.x
Cybersecurity	A Non-Intrusive Machine Learning Solution for Malware Detection and Data Theft Classification in Smartphones
Cyclic Bandwidth problem	Improved Lower Bounds for the Cyclic Bandwidth Problem
cycling	Discovering the influence of interruptions in cycling training: A data science study
D
D-Wave	Index calculus method for solving elliptic curve discrete logarithm problem using quantum annealing
D-Wave Systems	Cross Entropy Optimization of Constrained Problem Hamiltonians for Quantum Annealing
DAIS system	Corrosion detection on aircraft fuselage with multi-teacher knowledge distillation
Darcy flows	Staggered DG method for Darcy flows in fractured porous media on general meshes
Darcy's flow	Multi-phase compressible compositional simulations with phase equilibrium computation in the VTN specification
Data analysis	Reconstruction of Long-Lived Particles in LHCb CERN Project by Data Analysis and Computational Intelligence Methods Reversed Correlation-Based Pairwised EEG Channel Selection in Emotional State Recognition
Data Analytics	Hybrid machine learning for time-series energy data for enhancing energy efficiency in buildings MaMiCo: Non-Local Means Filtering with Flexible Data-Flow for Coupling MD and CFD Big Data for National Security in the Era of COVID-19
Data Assimilation	Data Assimilation in Agent-Based Modeling of Virtual Hospital Indoor Activity for Scheduling and Optimization Intelligent Camera Cloud Operators for Convective Scale Numerical Weather Prediction From macro to micro and back: Microstates initialization from chaotic aggregate time series Using machine learning to correct model error in data assimilation and forecast applications Data Assimilation using Heteroscedastic Bayesian Neural Network Ensembles for Reduced-Order Flame Models Data-Driven Methods for Weather Forecast Supermodeling - a meta-procedure for data assimilation and parameters estimation Data Assimilation in the Latent Space of a Convolutional Autoencoder
Data Augmentation	Discriminative Bayesian Filtering for the Semi-Supervised Augmentation of Sequential Observation Data Data Augmentation for Copy-Mechanism in Dialogue State Tracking
Data clustering	Data preprocessing, aggregation and clustering for agile manufacturing based on Automated Guided Vehicles
Data Coupling	Towards a coupled migration and weather simulation: South Sudan conflict
Data fusion	Challenges associated with sensors and data fusion for AGV-driven smart manufacturing
Data imputation	Addressing Missing Values in a Healthcare Dataset Using an Improved kNN Algorithm SGAIN, WSGAIN-CP and WSGAIN-GP: Novel Gan Methods for Missing Data Imputation Missing value imputation method using separatefeatures nearest neighbors algorithm
Data Labeling	Ensemble Labeling Towards Scientific Information Extraction (ELSIE)
data management	Profile-driven synthetic trajectories generation to enhance smart systems solutions Quantum Data Hub: A Collaborative Data and Analysis Platform for Quantum Material Science
data mining	Augmenting automatic clustering with expert knowledge and explanations A Non-Intrusive Machine Learning Solution for Malware Detection and Data Theft Classification in Smartphones
Data overlapping	mRelief: A Reward Penalty based Feature SubsetSelection Considering Data Overlapping Problem
Data Programming	Ensemble Labeling Towards Scientific Information Extraction (ELSIE)
Data Quality	Computational Intelligence Techniques for Assessing Data Quality: Towards Knowledge-Driven Processing
Data scarcity	Deep Embedding Features for Action Recognition on Raw Depth Maps
data science	Discovering the influence of interruptions in cycling training: A data science study
Data Stream Classification	Chosen Challenges of Imbalanced Data Stream Classification
Data subsampling	Scalable Statistical Inference of Photometric Redshift via Data Subsampling
Data Visualization	Building a Prototype for Easy to Use Collaborative Immersive Analytics
Data-driven forecasting	Data-driven deep learning emulators for geophysical forecasting
Data-driven simulation model	Towards data-driven simulation models for building energy management
Day-ahead market	Forecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) method
Decentralized Computation	A Review on Visual Programming for Distributed Computation in IoT
Decision analysis	A New Approach to Eliminate Rank Reversal in the MCDA problems
Decision boundary	Clustering and Weighted Scoring Algorithm Based on Estimating the Number of Clusters
decision making	A New Consistency Coefficient in the Multi-Criteria Decision Analysis Domain
Decision support	Simulation modeling of epidemic risk in supermarkets: Investigating the impact of social distancing and checkout zone design An attempt to replace System Dynamics with Discrete Rate Modeling in demographic simulations On Decision Support for Quantum Application Developers: Categorization, Comparison, and Analysis of Existing Technologies
Decision Support System	Ontology-based decision support system for dietary recommendations for type 2 diabetes mellitus A Decision Support System Based on Augmented Reality for the Safe Preparation of Chemotherapy Drugs
decision system	TBox - Risk Classification Models for Kidney Graft Failure
decision theory	A New Consistency Coefficient in the Multi-Criteria Decision Analysis Domain
decision tree	Effective Car Collision Detection with Mobile Phone Only
decision trees	Introducing Uncertainty Into Explanaible AI Methods
Deep ESN	Grouped Multi-Layer Echo State Networks with Self-Normalizing Activations
Deep Learning	Using Randomized Sub-data Sets for an Ensemble of Deep Learning Models to enhance Robustness Deep learning model of logging-while-drilling electromagnetic measurements Deep Learning for solving partial differential equations using Ritz method Design of borehole resistivity measurement acquisition systems for noisy data using deep learning A Finite Element based Deep Learning solver for parametric PDEs Towards data-driven simulation models for building energy management EEG-Based Emotion Recognition Using Convolutional Neural Networks Energy Consumption Prediction for Multi-functional Buildings Using Convolutional Bidirectional Recurrent Neural Networks Data-driven deep learning emulators for geophysical forecasting Learning Invariance in Deep Neural Networks Data Assimilation using Heteroscedastic Bayesian Neural Network Ensembles for Reduced-Order Flame Models Automated Method for Evaluating Neural Network's Attention Focus Trojan Traffic Detection Based on Meta-learning A Deep Learning Approach for Polycrystalline Microstructure-Statistical Property Prediction Transformer Based Models in Fake News Detection Improving Deep Object Detection Backbone with Feature Layers Music genre classification: looking for the Perfect Network State-of-the-art in 3D face reconstruction from a single RGB image Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods
Deep Neural Network	Real-time probabilistic inversion of DNN-based DeepEM model while accounting for model error Deep learning for prediction of complex geology ahead of drilling A Deep Neural Network Based on Stacked Auto-Encoder and Dataset Stratification in Indoor Localization
Deep Neural Networks	Using Randomized Sub-data Sets for an Ensemble of Deep Learning Models to enhance Robustness Design of borehole resistivity measurement acquisition systems for noisy data using deep learning MultiEmo: Multilingual, Multilevel, Multidomain Sentiment Analysis Corpus of Consumer Reviews Improving Deep Object Detection Backbone with Feature Layers
Deep Q-Networks	Modified deep Q-network algorithm applied to the evacuation problem
delivery uncertainty	Out-plant milk-run-driven mission planning subject to dynamic changes of date and place delivery
Denoising	MaMiCo: Non-Local Means Filtering with Flexible Data-Flow for Coupling MD and CFD
DenseNet	A Deep Learning Approach for Polycrystalline Microstructure-Statistical Property Prediction
Density Attraction	DenLAC: Density Levels Aggregation Clustering - A Flexible Clustering Method
desensitization	Desensitization Due to Overstimulation: A Second-Order Adaptive Network Model
Design Optimization	NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework
design specification adaptation	Improved Design Closure of Compact Microwave Circuits by Means of Performance Requirement Adaptation
detection of conditional dependence	Detection of conditional dependence between multiple variables using multiinformation
DGCNN	Vicinity-based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification
diabetes mellitus	Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy
Diagnostic Potential	Optimization of Selection of Tests in Diagnosing the Patient by General Practitioner
Dialogue Generation	Exemplar Guided Latent Pre-trained Dialogue Generation
Dialogue State Tracking	Data Augmentation for Copy-Mechanism in Dialogue State Tracking
diet recommendation	Ontology-based decision support system for dietary recommendations for type 2 diabetes mellitus
Difficult Data	Chosen Challenges of Imbalanced Data Stream Classification
Difficulty level estimation	Procedural Level Generation with Difficulty Level Estimation for Puzzle Games
Diffraction	Chebyshev-type rational approximations of the one-way Helmholtz equation for solving a class of wave propagation problems
Diffusion	Numerical Investigation on Leakage and Diffusion Characteristics of Domestic Hydrogen-Blended Natural Gas in Indoor Space
Digital Holography	Optimizations of a Generic Holographic Projection Model for GPU's
Digital image reduction	Digital image reduction for analysis of topological changes in pore space during chemical dissolution
digital profile	Discovering the diversity of patient treatment decisions through clinical pathways modeling and physician profiling
Digital twin	Large-scale stabilized multi-physics earthquake simulation for digital twin
dimensionality reduction	Fast Click-Through Rate Estimation using Data Aggregates
Discontinuous Galerkin method	Mathematical Modeling of the Single-Phase Multicomponent Flow in Porous Media
discount	Dynamic pricing and discounts by means of interactive presentation systems in stationary point of sales
Discrete cosine transformation (DCT)	Applying DCT combined cepstrum for arteriovenous fistula state estimation
discrete optimization	The problem of tasks scheduling with due dates in a flexible multi-machine production cell
Discrete wavelet transform	Highly Effective GPU Realization of Discrete Wavelet Transform for Big-Data Problems
discrete-event simulation	Modelling Hospital Strategies in City-Scale Ambulance Dispatching
discriminative Bayesian filtering	Discriminative Bayesian Filtering for the Semi-Supervised Augmentation of Sequential Observation Data
disease prediction	Controlling costs in feature selection: information theoretic approach
Distribu-tion-Free Procedure	Predicted Distribution Density Estimation for Streaming Data
Distributed data	Application of the bagging method and the decision trees to independent data sources
Distribution Density	Predicted Distribution Density Estimation for Streaming Data
diversity	Understanding Equity, Diversity and Inclusivity Challenges Within the Research Software Community
Domain-specific language (DSL)	The OpenPME Problem Solving Environment for Numerical Simulations
Double Auction	Resolving Policy Conflicts for Cross-Domain Access Control: A Double Auction Approach
DPG method	AIHPC4AS KEYNOTE: The Discontinuous Petrov-Galerkin (DPG) Method for Convection-Reaction Problems
Driver mutations	PathMEx: Pathway-based Mutual Exclusivity for Discovering Rare Cancer Driver Mutations
drowsiness estimation	Supporting Driver Physical State Estimation by Means of Thermal Image Processing
drug side effects	Side effect alerts generation from EHR in Polish
Dynamic	Optimization of Resources Allocation in High Performance Computing under Utilization Uncertainty
Dynamic Contrast-Enhanced MRI	Deep convolutional neural networks in application to kidney segmentation in the DCE-MR images
dynamic graphs	Embedding alignment methods in dynamic networks
dynamic planning	Out-plant milk-run-driven mission planning subject to dynamic changes of date and place delivery
dynamic programming	Pruned simulation-based optimal sailboat path search using micro HPC systems
Dynamical Systems	From macro to micro and back: Microstates initialization from chaotic aggregate time series
E
E-voting	Implementation of Auditable Blockchain Voting System with Hyperledger Fabric
Earthquake Simulation	AI-based optimization of earthquake fiber bundle models using reinforcement learning
ECG	Electrocardiogram Quality Assessment with Autoencoder
Echo State Network	Grouped Multi-Layer Echo State Networks with Self-Normalizing Activations Auto-Encoded Reservoir Computing for Turbulence Learning
ecision analysis	A New Consistency Coefficient in the Multi-Criteria Decision Analysis Domain
edge analytics	Metagenomic analysis at the edge with Jetson Xavier NX
edge computing	Renewable energy-aware heuristic algorithms for edge server selection for stream data processing Metagenomic analysis at the edge with Jetson Xavier NX
EDI	Understanding Equity, Diversity and Inclusivity Challenges Within the Research Software Community
edit distance	Fast Approximate String Search for Wikification
Education	Model-based approach to automated provisioning of collaborative educational services How Do Teams of Novice Modelers Choose An Approach? An Iterated, Repeated Experiment In A First-Year Modeling Course Analysis of Semestral Progress in Higher Technical Education with HMM Models
EEG	EEG-Based Emotion Recognition Using Convolutional Neural Networks EEG-based Emotion Recognition – Evaluation Methodology Revisited
EEG analysis	Reversed Correlation-Based Pairwised EEG Channel Selection in Emotional State Recognition
EEG electrodes selection	Reversed Correlation-Based Pairwised EEG Channel Selection in Emotional State Recognition
Eigenfrequencies of the Elasticity Operator	Machine Learning Control Design for Elastic Composite Materials
eigenvalue	Outlier removal for isogeometric spectral approximation with the optimally-blended quadratures
Electrical Vehicle Load Prediction	Timeseries based deep hybrid transfer learning framework: A case of electrical vehicle energy consumption
electricity consumption modeling	Description of electricity consumption by using leading hours intra-day model
Electricity load time series forecasting	Two stage approach to optimize electricity contract capacity problem for commercial customers
Electricity price forecasting	Forecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) method
Electroencephalography	EEG-Based Emotion Recognition Using Convolutional Neural Networks
electronic health records	Side effect alerts generation from EHR in Polish
Eletromechanical Coupling	Modeling the electromechanics of a single cardiac myocyte
elitist multi-objective evolutionary algorithms	Elitism in Multiobjective Hierarchical Strategy
EM simulation	On Fast Multi-Objective Optimization of Antenna Structures Using Pareto Front Triangulation and Inverse Surrogates
EM-driven optimization	Expedited Trust-Region-Based Design Closure of Antennas by Variable-Resolution EM Simulations
embedded devices	Supporting the process of sewer pipes inspection using machine learning on embedded devices
embedding alignment	Embedding alignment methods in dynamic networks
Embeddings	Scientific Paper Age Prediction Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions
Emergency Vehicles	A multi-cell cellular automata model of traffic flow with emergency vehicles: effect of a corridor of life
Emotion intensity	Motion Trajectory Grouping for Human Head Gestures Related to Facial Expressions
Emotion recognition	EEG-Based Emotion Recognition Using Convolutional Neural Networks EEG-based Emotion Recognition – Evaluation Methodology Revisited Reversed Correlation-Based Pairwised EEG Channel Selection in Emotional State Recognition
emotion regulation	An Adaptive Network Model for Procrastination Behaviour Including Self-Regulation and Emotion Regulation
empirical risk minimization	Some proposal of the high dimensional PU learning classification procedure
End-user Development	Programming IoT-spaces: A User-Survey on Home Automation Rules
Endogenous factors	Endogenous factors affecting the cost of large-scale geo-stationary satellite systems
Energy consumption data	Hybrid machine learning for time-series energy data for enhancing energy efficiency in buildings
Energy Consumption Forecasting	Warm-Start Meta-Ensembles for Forecasting Energy Consumption in Service Buildings
Energy Use Prediction	Energy Consumption Prediction for Multi-functional Buildings Using Convolutional Bidirectional Recurrent Neural Networks
Energy-aware computing	Evaluating energy-aware scheduling algorithms for I/O-intensive scientific workflows
EnKF	A Study on a Marine Reservoir and a Fluvial Reservoir History Matching Based on Ensemble Kalman Filter
Enriched Lagrangian nite elements	Poroelasticity Modules for \texttt{DarcyLite}
Enriching word embeddings	A Method for Improving Word Representation Using Synonym Information
Ensemble	Music genre classification: looking for the Perfect Network
Ensemble Learning	MGEL: A Robust Malware Encrypted Traffic Detection Method Based on Ensemble Learning with Multi-Grained Features Corrosion detection on aircraft fuselage with multi-teacher knowledge distillation
Ensemble Models	Using Randomized Sub-data Sets for an Ensemble of Deep Learning Models to enhance Robustness
Ensemble of classifiers	Application of the bagging method and the decision trees to independent data sources Clustering and Weighted Scoring Algorithm Based on Estimating the Number of Clusters
ensemble of numerical solutions	A comparison of the Richardson extrapolation and the approximation error estimation on the ensemble of numerical solutions
Ensemble pruning	Clustering-based Ensemble Pruning in the Imbalanced Data Classification
Ensemble randomized maximum likelihood	Deep learning for prediction of complex geology ahead of drilling
Epidemic	A Model for Urban Social Networks
Epidemics	Big Data for National Security in the Era of COVID-19
Epidemics spread mitigation	Multi-Agent Spatial SIR-Based Modeling and Simulation of Infection Spread Management
Equilibrium Model	Monte-Carlo Approach to the Computational Capacities Analysis of the Computing Continuum
error analysis	Shape reconstruction from point clouds using closed form solution of a fourth-order partial differential equation
Euclidean distance geometry problem	An Exact Algorithm for Finite Metric Space Embedding into a Euclidean Space when the Dimension of the Space is not Known.
Euclidean distance matrix	An Exact Algorithm for Finite Metric Space Embedding into a Euclidean Space when the Dimension of the Space is not Known.
Euler equations	A comparison of the Richardson extrapolation and the approximation error estimation on the ensemble of numerical solutions
Euler Lagrange equation	ELSA: Euler-Lagrange Skeletal Animations - novel and fast motion model applicable to VR/AR devices
EvAAL	Static and Dynamic Comparison of Pozyx and DecaWave UWB Indoor Localization Systems with Possible Improvements
Evacuation	Modified deep Q-network algorithm applied to the evacuation problem
evaluation metrics	Comparative Evaluation of Lung Cancer CT Image Synthesis with Generative Adversarial Networks
Event detection	Exploiting Extensive External Information for Event Detection through Semantic Networks Word Representation and Attention Map
Event-based modelling	des-ist: a simulation framework to streamline event-based in silico trials
evolution strategies	Socio-cognitive Evolution Strategies
evolutionary algorithms	Multi-objective evolutionary undersamplingalgorithm for imbalanced data classification
Exact search	Exact Searching for the Smallest Deterministic Automaton
eXAI	Comparison of Efficiency, Stability and Interpretability of Feature Selection Methods for Multiclassification Task on Medical Tabular Data
exit strategies	Uncertainty quantification of COVID-19 exit strategies in an individual-based and geographically stratified transmission model
expert-based modelling	Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy
explainability	Explanation-driven model stacking Introducing Uncertainty Into Explanaible AI Methods The Methods and Approaches of Explainable Artificial Intelligence
explainable AI	Augmenting automatic clustering with expert knowledge and explanations
Explainable artificial intelligence	Comparison of Efficiency, Stability and Interpretability of Feature Selection Methods for Multiclassification Task on Medical Tabular Data Towards Model-Agnostic Ensemble Explanations Grasp the Key: Towards Fast and Accurate Host-based Intrusion Detection in Data Centers
Exponential integrators	Exploiting the Kronecker product structure of \varphi-functions with applications to exponential time integrators
External information	Exploiting Extensive External Information for Event Detection through Semantic Networks Word Representation and Attention Map
Extreme Value Machine	On validity of Extreme Value Theory-based parametric models for out-of-distribution detection
Extreme Value Theory	On validity of Extreme Value Theory-based parametric models for out-of-distribution detection
eyes detection	Supporting Driver Physical State Estimation by Means of Thermal Image Processing
F
face detection	Supporting Driver Physical State Estimation by Means of Thermal Image Processing
Factor analysis	Higher-order hierarchical spectral clustering for multidimensional data
Factorial Analysis	Identifying Synergistic Interventions to Address COVID-19 Using a Large Scale Agent-Based Model
FAIR	Quantum Data Hub: A Collaborative Data and Analysis Platform for Quantum Material Science
Fake news	Fake or real? The novel approach to detect online disinformation based on multi ML classifiers
Fake news detection	Transformer Based Models in Fake News Detection
FARSITE	Improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements
Fast image hash	Grid-Based Concise Hash for Solar Images
feature contributions	Interpreting Neural Networks Prediction for a Single Instance via Random Forest Feature Contributions
feature embedding	Deep Embedding Features for Action Recognition on Raw Depth Maps
feature engineering	Feature Engineering with Process Mining Technique for Patient State Predictions
Feature Extraction	Improving Deep Object Detection Backbone with Feature Layers
Feature Learning	Improving Deep Object Detection Backbone with Feature Layers
Feature selection	Comparison of Efficiency, Stability and Interpretability of Feature Selection Methods for Multiclassification Task on Medical Tabular Data mRelief: A Reward Penalty based Feature SubsetSelection Considering Data Overlapping Problem Adiabatic Quantum Feature Selection for Sparse Linear Regression Application of Multi-Objective Optimization to Feature Selection for a Difficult Data Classification Task Reversed Correlation-Based Pairwised EEG Channel Selection in Emotional State Recognition
Fiber Bundle Model	AI-based optimization of earthquake fiber bundle models using reinforcement learning
Filtering	A GPU algorithm for Outliers detection in TESS light curves
Finite Element Method	A Finite Element based Deep Learning solver for parametric PDEs Deep learning driven self-adaptive hp finite element method Multilevel adaptive Lagrange-Galerkin methods for unsteady incompressible viscous flows Large-scale stabilized multi-physics earthquake simulation for digital twin Machine Learning Control Design for Elastic Composite Materials
finite element methods	Novel finite element solvers for coupled Stokes-Darcy flow problems
First-Year Experience	How Do Teams of Novice Modelers Choose An Approach? An Iterated, Repeated Experiment In A First-Year Modeling Course
Fish feeding	Monitoring the Uniformity of Fish Feeding Based on Image Feature Analysis
Fixed-point	Optimize Memory Usage in Vector Particle-In-Cell (VPIC) to Break the 10 Trillion Particle Barrier in Plasma Simulations
Flexible iterative ensemble smoother	Real-time probabilistic inversion of DNN-based DeepEM model while accounting for model error
Flow and transport in porous media	Learning nonlinear upscaling model for nonlinear transport problems
Flow Simulation	MaMiCo: Non-Local Means Filtering with Flexible Data-Flow for Coupling MD and CFD
Flower Pollination Algorithm	Optimum Design of Tuned Mass Dampers for Adjacent Structures via Flower Pollination Algorithm
Fluid-Structure Interaction	Analysis of vortex induced vibration of a thermowell by high fidelity FSI numerical analysis based on RBF structural modes embedding
Fluvial reservoir	A Study on a Marine Reservoir and a Fluvial Reservoir History Matching Based on Ensemble Kalman Filter
Food networks	Higher-order hierarchical spectral clustering for multidimensional data
food-energy-water nexus	Modeling the contribution of agriculture towards soil nitrogen surplus in Iowa
Forecasting	Modelling and forecasting based on recurrent pseudoinverse matrices
Forecasting with Probability	Modeling traffic forecasts with probability in DWDM optical networks
formation layers modeling	Graph-grammar based longest-edge refinement algorithm for three-dimensional optimally p refined meshes with tetrahedral elements
Forward-backward stochastic differential equations	Solutions and Challenges in Computing FBSDEs with Large Jumps for Dam and Reservoir System Operation
fourth-order partial differential equation	Shape reconstruction from point clouds using closed form solution of a fourth-order partial differential equation
fractional flow reserve	Stenosis assessment via volumetric flow rate calculation
Fractured porous media	Staggered DG method for Darcy flows in fractured porous media on general meshes
Free Music Archive Dataset	Music genre classification: looking for the Perfect Network
Free surface	Numerical Simulation of Free Surface Affected by Submarine with a Rotating Screw Moving Underwater
Frictional Conflict	A multi-cell cellular automata model of traffic flow with emergency vehicles: effect of a corridor of life
FSI	Analysis of vortex induced vibration of a thermowell by high fidelity FSI numerical analysis based on RBF structural modes embedding
functional data classification	Classifying Functional Data from Orthogonal Projections -- model, properties and fast implementation
functional data model	Classifying Functional Data from Orthogonal Projections -- model, properties and fast implementation
fuselage corrosion	Corrosion detection on aircraft fuselage with multi-teacher knowledge distillation
fusion plasma	Validation, verification and sensitivity analysis in the multiscale fusion plasma simulations Gaussian Process surrogate models for uncertainty quantification in multiscale fusion simulations
fuzzy clustering	Reconstruction of Long-Lived Particles in LHCb CERN Project by Data Analysis and Computational Intelligence Methods
Fuzzy Modifier	High Resolution TVD Scheme based on Fuzzy Modifiers for Shallow-Water equations
Fuzzy number vector representation	Vector and triangular representations of project estimation uncertainty: effect of gender on usability
Fuzzy number visualization	Vector and triangular representations of project estimation uncertainty: effect of gender on usability
Fuzzy Ontology	Fuzzy ontology for patient emergency department triage
G
Gabor filtering	Supporting Driver Physical State Estimation by Means of Thermal Image Processing
game theory	Modelling Hospital Strategies in City-Scale Ambulance Dispatching
Gated Memory	Human-like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling
Gaussian process	Scalable Statistical Inference of Photometric Redshift via Data Subsampling
Gaussian Process Regression	Data-driven deep learning emulators for geophysical forecasting
Gaussian Processes	Gaussian Process surrogate models for uncertainty quantification in multiscale fusion simulations
General meshes	Staggered DG method for Darcy flows in fractured porous media on general meshes
Generative Adversarial Network	SGAIN, WSGAIN-CP and WSGAIN-GP: Novel Gan Methods for Missing Data Imputation Deep learning for prediction of complex geology ahead of drilling
Generative adversarial networks	Comparative Evaluation of Lung Cancer CT Image Synthesis with Generative Adversarial Networks Latent GAN: using a latent space-based GAN for rapid forecasting of CFD models
Genetic algorithm	Discovering the diversity of patient treatment decisions through clinical pathways modeling and physician profiling Two stage approach to optimize electricity contract capacity problem for commercial customers Portfolio Optimisation Using the D-Wave Quantum Annealer
Geological Models	Neural Networks for Conditioning Surface-Based Geological Models with Uncertainty Analysis
Geophysical Systems	Data-driven deep learning emulators for geophysical forecasting
Geosteering	Deep learning for prediction of complex geology ahead of drilling
Glass forehearth	New On-Line Algorithms for Modelling, Identification and Simulation of Non-Linear Multidimensional Dynamic Systems Using Modulating Functions and Non-Asymptotic State Estimators: Case Study for a Chosen Physical Process
Glaucoma classification	Analysis of variance application in the construction of classifier ensemble based on optimal feature subset for the task of supporting glaucoma diagnosis
Global Gist	A Gist Information Guided Neural Network for Abstractive Summarization
global sensitivity analysis	Iterative global sensitivity analysis algorithm with neural network surrogate modeling
GP-GPU	A GPU algorithm for Outliers detection in TESS light curves
GPGPU	New variants of SDLS algorithm for LABS problem dedicated to GPGPU architectures
GPU	MaMiCo: Non-Local Means Filtering with Flexible Data-Flow for Coupling MD and CFD A Dynamic Replication Approach for Monte Carlo Photon Transport on Heterogeneous Architectures On the design of Monte-Carlo particle coagulation solver interface: a CPU/GPU Super-Droplet Method case study with PySDM
GPU computations	Highly Effective GPU Realization of Discrete Wavelet Transform for Big-Data Problems
GPU Computing (GPGPU)	Optimizations of a Generic Holographic Projection Model for GPU's
gradient search	Expedited Trust-Region-Based Design Closure of Antennas by Variable-Resolution EM Simulations
Gradient-free optimization	Improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements
Grammatical inference	Exact Searching for the Smallest Deterministic Automaton
Granular Computing	Theory of Mind Helps to Predict Neurodegenerative Processes in Parkinson's Disease
graph algorithm	Fast and Accurate Determination of Graph Node Connectivity Leveraging Approximate Methods
Graph Algorithms	The Necessity and Difficulty of Navigating Uncertainty to Develop an Individual-Level Computational Model
Graph classification	Relation order histograms as a network embedding tool
graph embedding	Embedding alignment methods in dynamic networks Relation order histograms as a network embedding tool
Graph labeling	Improved Lower Bounds for the Cyclic Bandwidth Problem
graph methods	Similarity and Conformity Graphs in Lighting Optimization and Assessment
Graph model	A Model for Urban Social Networks
Graph Theory	Predicting Soccer Results through Sentiment Analysis: A Graph Theory Approach
Greenhouse gas fluxes	LSTM processing of experimental time series with varied quality
Grid	Optimization of Resources Allocation in High Performance Computing under Utilization Uncertainty
Group modeling	An Intelligent Social Collective with Facebook-based Communication
Grover's Algorithm	OnCall Operator Scheduling for Satellites with Grover's Algorithm
H
Haar-like features	Supporting Driver Physical State Estimation by Means of Thermal Image Processing
halo center	Hierarchical Analysis of Halo Center in Cosmology
Handwritten Text Recognition	Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets
Hardware implementations	Classification using a two-qubit quantum chip
Hashing	RNACache: Fast Mapping of RNA-Seq Reads to Transcriptomes using MinHashing
health status prediction	Feature Engineering with Process Mining Technique for Patient State Predictions
healthcare	Addressing Missing Values in a Healthcare Dataset Using an Improved kNN Algorithm
Healthcare demand modeling	An attempt to replace System Dynamics with Discrete Rate Modeling in demographic simulations
healthcare modeling	Discovering the diversity of patient treatment decisions through clinical pathways modeling and physician profiling
Helmholtz equation	Chebyshev-type rational approximations of the one-way Helmholtz equation for solving a class of wave propagation problems
Herd immunity	Modeling co-circulation of influenza strains in heterogeneous urban populations: the role of herd immunity and uncertainty factors
Heterogeneous Agent Models	Efficient calibration of a financial agent-based model using the method of simulated moments
heterogeneous computing	Pruned simulation-based optimal sailboat path search using micro HPC systems
heuristics	Application of the Ant Colony algorithm for routing in next generation programmable networks
Hidden Markov Model	Analysis of Semestral Progress in Higher Technical Education with HMM Models
hierarchical analysis	Hierarchical Analysis of Halo Center in Cosmology
Hierarchical Clustering	DenLAC: Density Levels Aggregation Clustering - A Flexible Clustering Method
Hierarchical embedding	Scalable Computing System with Two-Level Reconfiguration of Multi-Channel Inter-Node communication
hierarchical metaheuristics	Elitism in Multiobjective Hierarchical Strategy
High-dimensional data	A Non-Intrusive Machine Learning Solution for Malware Detection and Data Theft Classification in Smartphones
high-performance computing	Investigating In Situ Reduction via Lagrangian Representations for Cosmology and Seismology Applications
Higher education	Model-based approach to automated provisioning of collaborative educational services
highway closure	I-80 Closures: An Autonomous Machine Learning Approach
History matching	A Study on a Marine Reservoir and a Fluvial Reservoir History Matching Based on Ensemble Kalman Filter
Holling type-II functional response	Pathology dynamics in healthy-toxic protein interaction and the multiscale analysis of neurodegenerative diseases
Home Automation	Programming IoT-spaces: A User-Survey on Home Automation Rules
Homogenization	A Deep Learning Approach for Polycrystalline Microstructure-Statistical Property Prediction
homography	Football Players Movement Analysis in Panning Videos
hospital simulation	Data Assimilation in Agent-Based Modeling of Virtual Hospital Indoor Activity for Scheduling and Optimization
HPC	VVUQ of large-scale applications with QCG-PilotJob Scaling Simulation of Continuous Urban Traffic Model for High Performance Computing System A GPU algorithm for Outliers detection in TESS light curves Agent-based Modeling of Social Phenomena for High Performance Distributed Simulations MaMiCo: Non-Local Means Filtering with Flexible Data-Flow for Coupling MD and CFD
HTC	VVUQ of large-scale applications with QCG-PilotJob
HTTP header fields	HSLF: HTTP Header Sequence based LSH fingerprints for Application Traffic Classification
Huffman coding	An innovative employment of NetLogo AIDS model in developing a new chain coding mechanism for compression
Human-computer interaction	A Voice-based Travel Recommendation System Using Linked Open Data
hybrid algorithms	Socio-cognitive Evolution Strategies
hybrid approach	Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy
hybrid cloud	Scientific workflow management on hybrid clouds with cloud bursting and transparent data access
Hybrid Deep Learning	Timeseries based deep hybrid transfer learning framework: A case of electrical vehicle energy consumption
Hydrogen blending ratio	Numerical Investigation on Leakage and Diffusion Characteristics of Domestic Hydrogen-Blended Natural Gas in Indoor Space
Hyperledger Fabric	Implementation of Auditable Blockchain Voting System with Hyperledger Fabric
Hyperthermia	Uncertainty Quantification of Tissue Damage Due to Blood Velocity in Hyperthermia Cancer Treatments
hypoxic zone	Modeling the contribution of agriculture towards soil nitrogen surplus in Iowa
I
ibeacon	Data Assimilation in Agent-Based Modeling of Virtual Hospital Indoor Activity for Scheduling and Optimization
Image analysis	Monitoring the Uniformity of Fish Feeding Based on Image Feature Analysis
Image classification	Capsule Network versus Convolutional Neural Network in Image Classification Comparative Analysis An application of a pseudo-parabolic modeling to texture image recognition
Image features	Monitoring the Uniformity of Fish Feeding Based on Image Feature Analysis
image processing	Towards Model-Agnostic Ensemble Explanations
imbalanced data	Multi-objective evolutionary undersamplingalgorithm for imbalanced data classification Clustering-based Ensemble Pruning in the Imbalanced Data Classification Learning from Imbalanced Data Streams based on Over-Sampling and Instance Selection Clustering and Weighted Scoring Algorithm Based on Estimating the Number of Clusters
Imbalanced dataset	Improvement of random undersampling to avoid excessive removal of points from a given area of the majority class
Immersive Analytics	Building a Prototype for Easy to Use Collaborative Immersive Analytics
Immersive Collaboration	Building a Prototype for Easy to Use Collaborative Immersive Analytics
Immersive Environments	Building a Prototype for Easy to Use Collaborative Immersive Analytics
Implicit finite difference method	Analytic and Numerical Solutions of Space-Time Fractional Diffusion Wave Equations with different Fractional order
in silico clinical trials	Uncertainty Quantification of Coupled 1D Arterial Blood Flow and 3D Tissue Perfusion Models Using the INSIST Framework
In Silico Medicine	Does In Silico Medicine need Big Science?
in silico trials	des-ist: a simulation framework to streamline event-based in silico trials
in situ processing	Investigating In Situ Reduction via Lagrangian Representations for Cosmology and Seismology Applications
In-Station Train Dispatching	An Efficient Hybrid Planning Framework for In-Station Train Dispatching
Incentive mechanism	Resolving Policy Conflicts for Cross-Domain Access Control: A Double Auction Approach
Incompressible Navier-Stokes equations	Multilevel adaptive Lagrange-Galerkin methods for unsteady incompressible viscous flows
inconsistency coefficient	A New Consistency Coefficient in the Multi-Criteria Decision Analysis Domain
Independent data sources	Application of the bagging method and the decision trees to independent data sources
index calculus on elliptic curves	Index calculus method for solving elliptic curve discrete logarithm problem using quantum annealing
Index cards archives	Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets
Indoor infection spreading	Simulation modeling of epidemic risk in supermarkets: Investigating the impact of social distancing and checkout zone design
Indoor Localization	Static and Dynamic Comparison of Pozyx and DecaWave UWB Indoor Localization Systems with Possible Improvements Bluetooth Low Energy Livestock Positioning for Smart Farming Applications Improving UWB Indoor Localization Accuracy Using Sparse Fingerprinting and Transfer Learning
Indoor Location	A Deep Neural Network Based on Stacked Auto-Encoder and Dataset Stratification in Indoor Localization
Indoor Space	Numerical Investigation on Leakage and Diffusion Characteristics of Domestic Hydrogen-Blended Natural Gas in Indoor Space
Industrial communication	Object-Oriented Internet - Cloud Interoperability
Industry 4.0	Dataset for anomalies detection in 3D printing Object-Oriented Internet - Cloud Interoperability
Infarct volume modelling	Two-Way Coupling Between 1-D Blood Flow and 3-D Tissue Perfusion Models
Information Extraction	Ensemble Labeling Towards Scientific Information Extraction (ELSIE)
Information Fusion	The Necessity and Difficulty of Navigating Uncertainty to Develop an Individual-Level Computational Model
information retrieval	Fast Approximate String Search for Wikification
information theory	Detection of conditional dependence between multiple variables using multiinformation Controlling costs in feature selection: information theoretic approach
Input Resolutions	Improving Deep Object Detection Backbone with Feature Layers
instance selection	Learning from Imbalanced Data Streams based on Over-Sampling and Instance Selection
intelligent data analysis	Linguistic Summaries using Interval-valued Fuzzy Representation of Imprecise Information - an Innovative Tool for Detecting Outliers
Intelligent Systems	The Methods and Approaches of Explainable Artificial Intelligence
intention recognition	Comparison of Speech Recognition and Natural Language Understanding Frameworks for Detection of Dangers with Smart Wearables
interdisciplinary programs	Biophysical Modeling of Excitable Cells - a new Approach to Undergraduate Computational Biology Curriculum Development
Internet of Things	Dataset for anomalies detection in 3D printing Application of the Ant Colony algorithm for routing in next generation programmable networks Comparison of Speech Recognition and Natural Language Understanding Frameworks for Detection of Dangers with Smart Wearables Object-Oriented Internet - Cloud Interoperability
Internet-of-Things	Programming IoT-spaces: A User-Survey on Home Automation Rules A Review on Visual Programming for Distributed Computation in IoT
Interpolation	Improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements
interrelationship	Modeling the contribution of agriculture towards soil nitrogen surplus in Iowa
interval arithmetic	Advantages of interval modification of NURBS curves in modeling uncertain boundary shape in boundary value problems
Interval numbers	New rank-reversal free approach to handle interval data in MCDA problems
interval-valued fuzzy sets	Linguistic Summaries using Interval-valued Fuzzy Representation of Imprecise Information - an Innovative Tool for Detecting Outliers
Intrusion detection	Grasp the Key: Towards Fast and Accurate Host-based Intrusion Detection in Data Centers
Invariant learning	Learning Invariance in Deep Neural Networks
inverse modeling	On Fast Multi-Objective Optimization of Antenna Structures Using Pareto Front Triangulation and Inverse Surrogates
Inverse Modelling	Neural Networks for Conditioning Surface-Based Geological Models with Uncertainty Analysis
inverse Poisson problem	Semi-analytical Monte Carlo optimisation method applied to the inverse Poisson problem
Inverse Problem	NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework Effective solution of ill-posed inverse problems with stabilized forward solver A comparison of the Richardson extrapolation and the approximation error estimation on the ensemble of numerical solutions
Inverse Problems	Machine Learning Control Design for Elastic Composite Materials
IoT	Renewable energy-aware heuristic algorithms for edge server selection for stream data processing Supporting the process of sewer pipes inspection using machine learning on embedded devices
ischemic stroke	des-ist: a simulation framework to streamline event-based in silico trials
isogeometric analysis	A three-level linearized time integration scheme for tumor simulations with Cahn-Hilliard equations Outlier removal for isogeometric spectral approximation with the optimally-blended quadratures Material Transport Simulation in Complex Neurite Networks Using Isogeometric Analysis and Machine Learning Techniques
isometric embedding	An Exact Algorithm for Finite Metric Space Embedding into a Euclidean Space when the Dimension of the Space is not Known.
Iterative IMPEC	Multi-phase compressible compositional simulations with phase equilibrium computation in the VTN specification
J
Jetson Xavier NX	Metagenomic analysis at the edge with Jetson Xavier NX
Job	Optimization of Resources Allocation in High Performance Computing under Utilization Uncertainty
Job shop	A Job Shop Scheduling Problem with Due Dates under Conditions of Uncertainty
JupyterHub	Quantum Data Hub: A Collaborative Data and Analysis Platform for Quantum Material Science
K
k-components	Fast and Accurate Determination of Graph Node Connectivity Leveraging Approximate Methods
k-nearest neighbors	Forecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) method
K-Nearest Neighbors methods	Improvement of random undersampling to avoid excessive removal of points from a given area of the majority class
k-NN	Missing value imputation method using separatefeatures nearest neighbors algorithm
kbest	Comparison of Efficiency, Stability and Interpretability of Feature Selection Methods for Multiclassification Task on Medical Tabular Data
keras ocr	Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets
Kernel Density Estimation	DenLAC: Density Levels Aggregation Clustering - A Flexible Clustering Method
Key-frame animation	ELSA: Euler-Lagrange Skeletal Animations - novel and fast motion model applicable to VR/AR devices
Keyword 1	Enabling High-Performance Large-Scale Irregular Computations Towards Personalised Computational Medicine – Sano Centre Perspective What do Climate Scientists Use Computer Resources for - The Role of Volcanic Activity in Climate and Global Change Implementing Serious Virtual Reality Applications
Keyword 2	Enabling High-Performance Large-Scale Irregular Computations Towards Personalised Computational Medicine – Sano Centre Perspective What do Climate Scientists Use Computer Resources for - The Role of Volcanic Activity in Climate and Global Change Implementing Serious Virtual Reality Applications
Keyword 3	Enabling High-Performance Large-Scale Irregular Computations Towards Personalised Computational Medicine – Sano Centre Perspective What do Climate Scientists Use Computer Resources for - The Role of Volcanic Activity in Climate and Global Change Implementing Serious Virtual Reality Applications
keyword1	Empirical Bayesian Inference using Joint Sparsity
keyword2	Empirical Bayesian Inference using Joint Sparsity
keyword3	Empirical Bayesian Inference using Joint Sparsity
Kidney perfusion modeling	Deep convolutional neural networks in application to kidney segmentation in the DCE-MR images
KNN	TBox - Risk Classification Models for Kidney Graft Failure Addressing Missing Values in a Healthcare Dataset Using an Improved kNN Algorithm
knowledge adoption	Co-evolution of Knowledge Diffusion and Absorption: A Simulation-Based Analysis
knowledge base	Ontology-based decision support system for dietary recommendations for type 2 diabetes mellitus
Knowledge diffusion	Co-evolution of Knowledge Diffusion and Absorption: A Simulation-Based Analysis An Intelligent Social Collective with Facebook-based Communication
knowledge distillation	Corrosion detection on aircraft fuselage with multi-teacher knowledge distillation
Knowledge Engineering	Computational Intelligence Techniques for Assessing Data Quality: Towards Knowledge-Driven Processing
Knowledge Synthesis	ASH: A New Tool for Automated and Full-Text Search in Systematic Literature Reviews
Kronecker product	Exploiting the Kronecker product structure of \varphi-functions with applications to exponential time integrators
Krylov projection	Refined Isogeometric Analysis for Solving Quadratic Eigenproblems in Electromagnetics
Kubernetes	Scientific workflow management on hybrid clouds with cloud bursting and transparent data access
Kullback-Leibler divergence	Detection of conditional dependence between multiple variables using multiinformation
L
L2-projection	Multilevel adaptive Lagrange-Galerkin methods for unsteady incompressible viscous flows
LABS	New variants of SDLS algorithm for LABS problem dedicated to GPGPU architectures
Lagrange-Galerkin method	Multilevel adaptive Lagrange-Galerkin methods for unsteady incompressible viscous flows
Lagrangian analysis	Investigating In Situ Reduction via Lagrangian Representations for Cosmology and Seismology Applications
Laminar flow	Numerical investigation of transport processes in porous media under laminar, transitional and turbulent flow conditions with the lattice-Boltzmann method
language agnostic representation	MultiEmo: Multilingual, Multilevel, Multidomain Sentiment Analysis Corpus of Consumer Reviews
large corpora	A Model for Predicting n-gram Frequency Distribution in Large Corpora
Large-scale simulations	Identifying Synergistic Interventions to Address COVID-19 Using a Large Scale Agent-Based Model
Large-Scale Systems	A Review on Visual Programming for Distributed Computation in IoT
Lattice structure	Highly Effective GPU Realization of Discrete Wavelet Transform for Big-Data Problems
Lattice-Boltzmann method	Numerical investigation of transport processes in porous media under laminar, transitional and turbulent flow conditions with the lattice-Boltzmann method
LBM	MaMiCo: Non-Local Means Filtering with Flexible Data-Flow for Coupling MD and CFD
Leakage	Numerical Investigation on Leakage and Diffusion Characteristics of Domestic Hydrogen-Blended Natural Gas in Indoor Space
Leap-Frog Algorithm	Generic Case of Leap-Frog Algorithm for Optimal Knots Selection in Fitting Reduced Data
learning from data streams	Learning from Imbalanced Data Streams based on Over-Sampling and Instance Selection
Least-squares Monte-Carlo	Solutions and Challenges in Computing FBSDEs with Large Jumps for Dam and Reservoir System Operation
Leisure Centre	Energy Consumption Prediction for Multi-functional Buildings Using Convolutional Bidirectional Recurrent Neural Networks
Lexicography	Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets
LHCb CERN	Reconstruction of Long-Lived Particles in LHCb CERN Project by Data Analysis and Computational Intelligence Methods
Light Curves	A GPU algorithm for Outliers detection in TESS light curves
Limiter	High Resolution TVD Scheme based on Fuzzy Modifiers for Shallow-Water equations
Linked Open Data	A Voice-based Travel Recommendation System Using Linked Open Data
lipid membrane model	Towards mimetic membrane systems in Molecular dynamics: characteristics of E.coli membrane system
load balance	A Dynamic Replication Approach for Monte Carlo Photon Transport on Heterogeneous Architectures
Local features	ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-based Computational Model
local optimisation techniques	New variants of SDLS algorithm for LABS problem dedicated to GPGPU architectures
Local-sensitive hashing	HSLF: HTTP Header Sequence based LSH fingerprints for Application Traffic Classification
logging-while-drilling (LWD)	Design of borehole resistivity measurement acquisition systems for noisy data using deep learning
logistic regression	Some proposal of the high dimensional PU learning classification procedure Fast Click-Through Rate Estimation using Data Aggregates
Long Short-Term Memory	Music genre classification: looking for the Perfect Network
longest edge refinement	Graph-grammar based longest-edge refinement algorithm for three-dimensional optimally p refined meshes with tetrahedral elements
Lottery Tickets hypothesis	Monte Carlo Winning Tickets
Lower bounds	Improved Lower Bounds for the Cyclic Bandwidth Problem
LSTM	Data-driven deep learning emulators for geophysical forecasting Data Assimilation in the Latent Space of a Convolutional Autoencoder LSTM processing of experimental time series with varied quality Predictability Classes for Forecasting Bank Clients Behavior by Transactional Data
lumped model	Stenosis assessment via volumetric flow rate calculation
lung cancer	Comparative Evaluation of Lung Cancer CT Image Synthesis with Generative Adversarial Networks
M
Machine Learning	Discovering the diversity of patient treatment decisions through clinical pathways modeling and physician profiling Using Randomized Sub-data Sets for an Ensemble of Deep Learning Models to enhance Robustness Using machine learning to correct model error in data assimilation and forecast applications I-80 Closures: An Autonomous Machine Learning Approach Efficient prediction of spatio-temporal events on the example of the availability of vehicles rented per minute Feature Engineering with Process Mining Technique for Patient State Predictions Applicability of Machine Learning to Short-Term Prediction of Changes in the Low Voltage Electricity Distribution Network Hybrid machine learning for time-series energy data for enhancing energy efficiency in buildings Explanation-driven model stacking Data-Driven Methods for Weather Forecast Deep learning for prediction of complex geology ahead of drilling A new multi-objective approach to optimize irrigation using a crop simulation model and weather history Supporting the process of sewer pipes inspection using machine learning on embedded devices Introducing Uncertainty Into Explanaible AI Methods Big Data for National Security in the Era of COVID-19 Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy Data Assimilation in the Latent Space of a Convolutional Autoencoder A Deep Neural Network Based on Stacked Auto-Encoder and Dataset Stratification in Indoor Localization Machine learning algorithms for conversion of CVSS base score from 2.0 to 3.x Towards Model-Agnostic Ensemble Explanations Machine-Learning Based Prediction of Multiple Types of Network Traffic Fake or real? The novel approach to detect online disinformation based on multi ML classifiers Classification using a two-qubit quantum chip Reversed Correlation-Based Pairwised EEG Channel Selection in Emotional State Recognition A machine learning method for parameter estimation and sensitivity analysis The Methods and Approaches of Explainable Artificial Intelligence Machine Learning Control Design for Elastic Composite Materials Predicting Soccer Results through Sentiment Analysis: A Graph Theory Approach A Non-Intrusive Machine Learning Solution for Malware Detection and Data Theft Classification in Smartphones Material Transport Simulation in Complex Neurite Networks Using Isogeometric Analysis and Machine Learning Techniques
Machine state monitoring	Real-time Object Detection for Smart Connected Worker in 3D printing
Machine to Machine Communication	Object-Oriented Internet - Cloud Interoperability
Machine to Machine Communication (M2M)	Challenges associated with sensors and data fusion for AGV-driven smart manufacturing
Malware Encrypted Traffic Detection	MGEL: A Robust Malware Encrypted Traffic Detection Method Based on Ensemble Learning with Multi-Grained Features
Marine reservoir	A Study on a Marine Reservoir and a Fluvial Reservoir History Matching Based on Ensemble Kalman Filter
Markov Models	Towards cost-effective treatment of periprosthetic joint infection: from statistical analysis to Markov models
Markovian Model	Data-Driven Methods for Weather Forecast
Mass-parallel computations	Highly Effective GPU Realization of Discrete Wavelet Transform for Big-Data Problems
Mass-spring Systems	Modeling the electromechanics of a single cardiac myocyte
Mathematical Modeling	Uncertainty Quantification of Tissue Damage Due to Blood Velocity in Hyperthermia Cancer Treatments
Mathematical Sociology	How to reach consensus? Better disagree with your neighbor.
MCDA	Multi-Criteria Seed Selection for Targeted In uence Maximization within Social Networks A New Approach to Eliminate Rank Reversal in the MCDA problems New rank-reversal free approach to handle interval data in MCDA problems Combining heterogeneous indicators by adopting Adaptive MCDA: dealing with Uncertainty
MCMC	Monte-Carlo Approach to the Computational Capacities Analysis of the Computing Continuum
measurement acquisition system	Design of borehole resistivity measurement acquisition systems for noisy data using deep learning
Medical Ontology	Fuzzy ontology for patient emergency department triage
memetic algorithm	Effective solution of ill-posed inverse problems with stabilized forward solver
mental illness	MAM: A Metaphor-based Approach for Mental Illness Detection
Mesh Morphing	Automatic Optimization Method based on mesh morphing surface sculpting driven by Biological Growth Method: an application to the Coiled Spring section shape
meshless random walk	Semi-analytical Monte Carlo optimisation method applied to the inverse Poisson problem
meta-learning	Trojan Traffic Detection Based on Meta-learning
Meta-Search	ASH: A New Tool for Automated and Full-Text Search in Systematic Literature Reviews
metagenomics	Serverless Nanopore Basecalling with AWS Lambda Metagenomic analysis at the edge with Jetson Xavier NX
metaheuristic	Graph-grammar based longest-edge refinement algorithm for three-dimensional optimally p refined meshes with tetrahedral elements The problem of tasks scheduling with due dates in a flexible multi-machine production cell
metaheuristics	Socio-cognitive Evolution Strategies The Power of a Collective: Team of Agents Solving Instances of the Flow Shop and Job Shop Problems
metaphor	MAM: A Metaphor-based Approach for Mental Illness Detection
Metaplasticity	Regaining Cognitive Control: An Adaptive Computational Model Involving Neural Correlates of Stress, Control and Intervention
Metric learning	Semantic similarity metric learning for sketch-based 3D shape retrieval
Metropolis-Hastings	Monte-Carlo Approach to the Computational Capacities Analysis of the Computing Continuum
micro HPC platform	Pruned simulation-based optimal sailboat path search using micro HPC systems
Microstates initialisation	From macro to micro and back: Microstates initialization from chaotic aggregate time series
Microwave design	Improved Design Closure of Compact Microwave Circuits by Means of Performance Requirement Adaptation
mimetic systems	Towards mimetic membrane systems in Molecular dynamics: characteristics of E.coli membrane system
Mindfulness	Regaining Cognitive Control: An Adaptive Computational Model Involving Neural Correlates of Stress, Control and Intervention
Minimum spectral gap	Cross Entropy Optimization of Constrained Problem Hamiltonians for Quantum Annealing
missing data	SGAIN, WSGAIN-CP and WSGAIN-GP: Novel Gan Methods for Missing Data Imputation Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions LSTM processing of experimental time series with varied quality Missing value imputation method using separatefeatures nearest neighbors algorithm
missing value	Addressing Missing Values in a Healthcare Dataset Using an Improved kNN Algorithm
Missing values prediction	Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks
Mitchell--Schaeffer Model	A Semi-implicit Backward Differentiation ADI Method for Solving Monodomain Model
mixed finite element method	A new finite element method for Stokes equations with pressure Dirichlet boundary condition
mixed integer programming	Application of the Ant Colony algorithm for routing in next generation programmable networks
Mixed Integer Programming (MIP)	Modeling traffic forecasts with probability in DWDM optical networks
Mixed-hybrid finite element method	Mathematical Modeling of the Single-Phase Multicomponent Flow in Porous Media Multi-phase compressible compositional simulations with phase equilibrium computation in the VTN specification
Mixed-precision	Optimize Memory Usage in Vector Particle-In-Cell (VPIC) to Break the 10 Trillion Particle Barrier in Plasma Simulations
Mixed-precision arithmetic	Error estimation and correction using the forward CENA method
MixIT	AI-accelerated CFD simulation based on OpenFOAM and CPU/GPU computing
ML	A GPU algorithm for Outliers detection in TESS light curves
Modal superposition	Analysis of vortex induced vibration of a thermowell by high fidelity FSI numerical analysis based on RBF structural modes embedding
model	Towards understanding time varying triangle meshes
Model Calibration	Efficient calibration of a financial agent-based model using the method of simulated moments
model error	Using machine learning to correct model error in data assimilation and forecast applications Real-time probabilistic inversion of DNN-based DeepEM model while accounting for model error
Model interpretation·	Interpreting Neural Networks Prediction for a Single Instance via Random Forest Feature Contributions
model management	Expedited Trust-Region-Based Design Closure of Antennas by Variable-Resolution EM Simulations
Model-based sensitivity analysis	Endogenous factors affecting the cost of large-scale geo-stationary satellite systems
modeling	Modeling and Simulation of Atmospheric Water Generation Unit Using Anhydrous Salts
modeling uncertainty	Advantages of interval modification of NURBS curves in modeling uncertain boundary shape in boundary value problems
Modelling	Modelling and forecasting based on recurrent pseudoinverse matrices
Modulating functions	New On-Line Algorithms for Modelling, Identification and Simulation of Non-Linear Multidimensional Dynamic Systems Using Modulating Functions and Non-Asymptotic State Estimators: Case Study for a Chosen Physical Process
Molecular Dynamics	Towards mimetic membrane systems in Molecular dynamics: characteristics of E.coli membrane system MaMiCo: Non-Local Means Filtering with Flexible Data-Flow for Coupling MD and CFD
Molecular-Continuum	MaMiCo: Non-Local Means Filtering with Flexible Data-Flow for Coupling MD and CFD
Monocular RGB Image	State-of-the-art in 3D face reconstruction from a single RGB image
Monodomain Model	A Semi-implicit Backward Differentiation ADI Method for Solving Monodomain Model
Monte Carlo	A Dynamic Replication Approach for Monte Carlo Photon Transport on Heterogeneous Architectures
Monte Carlo Integration	Optimizations of a Generic Holographic Projection Model for GPU's
Monte Carlo method	Semi-analytical Monte Carlo optimisation method applied to the inverse Poisson problem
Monte Carlo simulations	Three-state opinion q-voter model with bounded confidence
Monte-Carlo	On the design of Monte-Carlo particle coagulation solver interface: a CPU/GPU Super-Droplet Method case study with PySDM
Morphing	Analysis of vortex induced vibration of a thermowell by high fidelity FSI numerical analysis based on RBF structural modes embedding
Motion similarity	Motion Trajectory Grouping for Human Head Gestures Related to Facial Expressions
mouth detection	Supporting Driver Physical State Estimation by Means of Thermal Image Processing
Moving fronts	An enhanced finite element algorithm for thermal Darcy flows with variable viscosity
Moving grid	Numerical Simulation of Free Surface Affected by Submarine with a Rotating Screw Moving Underwater
mRelief	mRelief: A Reward Penalty based Feature SubsetSelection Considering Data Overlapping Problem
Multi-agent simulation	An Intelligent Social Collective with Facebook-based Communication
Multi-agent system	Multi-Agent Spatial SIR-Based Modeling and Simulation of Infection Spread Management
Multi-agent systems	Smoothing Speed Variability in Age-Friendly Urban Traffic Management
Multi-channel architecture	Scalable Computing System with Two-Level Reconfiguration of Multi-Channel Inter-Node communication
Multi-class bivariate data	ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-based Computational Model
Multi-clustering	Quality of Recommendations and Cold-start Problem in Recommender Systems based on Multi-Clusters
Multi-Grained Features	MGEL: A Robust Malware Encrypted Traffic Detection Method Based on Ensemble Learning with Multi-Grained Features
Multi-Head Attention	A Gist Information Guided Neural Network for Abstractive Summarization
multi-objective design	On Fast Multi-Objective Optimization of Antenna Structures Using Pareto Front Triangulation and Inverse Surrogates
multi-objective optimization	Multi-objective evolutionary undersamplingalgorithm for imbalanced data classification A new multi-objective approach to optimize irrigation using a crop simulation model and weather history Application of Multi-Objective Optimization to Feature Selection for a Difficult Data Classification Task Elitism in Multiobjective Hierarchical Strategy
Multi-phase flow	Multi-phase compressible compositional simulations with phase equilibrium computation in the VTN specification
Multi-physics	Analysis of vortex induced vibration of a thermowell by high fidelity FSI numerical analysis based on RBF structural modes embedding
Multi-Physics Simulation	NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework
Multi-scale analyses	A Deep Learning Approach for Polycrystalline Microstructure-Statistical Property Prediction
Multi-scale modelling	Two-Way Coupling Between 1-D Blood Flow and 3-D Tissue Perfusion Models
Multi-scale Simulation	Semi-intrusive Uncertainty Quantification of a 3D In-stent Restenosis Model with surrogate modeling
Multiagent modeling	Modeling co-circulation of influenza strains in heterogeneous urban populations: the role of herd immunity and uncertainty factors
Multidimensional data	Higher-order hierarchical spectral clustering for multidimensional data
Multidimensional systems	New On-Line Algorithms for Modelling, Identification and Simulation of Non-Linear Multidimensional Dynamic Systems Using Modulating Functions and Non-Asymptotic State Estimators: Case Study for a Chosen Physical Process
Multilayer networks	Higher-order hierarchical spectral clustering for multidimensional data
multilingual text classification	MultiEmo: Multilingual, Multilevel, Multidomain Sentiment Analysis Corpus of Consumer Reviews
Multimodal Container Planning	Multimodal Container Planning: a QUBO Formulation and Implementation on a Quantum Annealer
Multiple Responses Generation	Exemplar Guided Latent Pre-trained Dialogue Generation
Multiscale	VVUQ of large-scale applications with QCG-PilotJob
multiscale finite element method	MsFEM upscaling for coupled thermo-mechanical problem
Multiscale Forced Migration Prediction	Comparison of polynomial chaos expansion and stochastic collocation methods: A case study in forced migration
Multiscale Modelling	Validation, verification and sensitivity analysis in the multiscale fusion plasma simulations Gaussian Process surrogate models for uncertainty quantification in multiscale fusion simulations
Multiscale Simulation	Towards a coupled migration and weather simulation: South Sudan conflict
Multistage organization	Clustering-based Ensemble Pruning in the Imbalanced Data Classification
multistage timestepping	Revolve-Based Adjoint Checkpointing for Multistage Time Integration
Multivariate Hermite polynomials	Second Order Moments of Multivariate Hermite Polynomials
multivariate linear regression	Description of electricity consumption by using leading hours intra-day model
Multivariate Time-Series	A Semi-Supervised Approach for Trajectory Segmentation to Identify Different Moisture Processes in the Atmosphere
Music Genre Recognition	Music genre classification: looking for the Perfect Network
Music Information Retrieval	Music genre classification: looking for the Perfect Network
mutual information	Controlling costs in feature selection: information theoretic approach
N
N-body simulation	Hierarchical Analysis of Halo Center in Cosmology
n-gram frequency distribution	A Model for Predicting n-gram Frequency Distribution in Large Corpora
nanopore sequencing	Serverless Nanopore Basecalling with AWS Lambda Metagenomic analysis at the edge with Jetson Xavier NX
Narrative Medicine	A Software Pipeline Based on Sentiment Analysis to Analyze Narrative Medicine Texts
National Security	Big Data for National Security in the Era of COVID-19
Natural gas-hydrogen mixture	Numerical Investigation on Leakage and Diffusion Characteristics of Domestic Hydrogen-Blended Natural Gas in Indoor Space
Natural Language Generation	Unsupervised Text Style Transfer via An Enhanced Operation Pipeline
Natural Language Processing	MultiEmo: Multilingual, Multilevel, Multidomain Sentiment Analysis Corpus of Consumer Reviews Comparison of Speech Recognition and Natural Language Understanding Frameworks for Detection of Dangers with Smart Wearables Transformer Based Models in Fake News Detection
nearest neighbor classifier	Mimicking learning for 1-NN classifiers
NetLogo	Non-Majors Biology with Laboratories Using Computer Simulations Simulation modeling of epidemic risk in supermarkets: Investigating the impact of social distancing and checkout zone design An innovative employment of NetLogo AIDS model in developing a new chain coding mechanism for compression
Network Congestion	Modeling traffic forecasts with probability in DWDM optical networks
network model	A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD Desensitization Due to Overstimulation: A Second-Order Adaptive Network Model Simulation of Burnout Processes by a Multi-Order Adaptive Network Model
Network security	Trojan Traffic Detection Based on Meta-learning
network structure	Co-evolution of Knowledge Diffusion and Absorption: A Simulation-Based Analysis
Network-Oriented Modeling	How Attachment to your Primary Caregiver Influences your First Adult Relationship: An Adaptive Network Model of Attachment Theory
neural embeddings	Fast Approximate String Search for Wikification
Neural Network	Deep Learning for solving partial differential equations using Ritz method Using machine learning to correct model error in data assimilation and forecast applications Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets Data Assimilation in the Latent Space of a Convolutional Autoencoder
Neural network initialization	Monte Carlo Winning Tickets
Neural networks	Deep learning driven self-adaptive hp finite element method Iterative global sensitivity analysis algorithm with neural network surrogate modeling LSTM processing of experimental time series with varied quality Grasp the Key: Towards Fast and Accurate Host-based Intrusion Detection in Data Centers A study on a feedforward neural network to solve partial differential equations in hyperbolic-transport problems
Neurodegenerative disorders	Pathology dynamics in healthy-toxic protein interaction and the multiscale analysis of neurodegenerative diseases
Next-generation sequencing	RNACache: Fast Mapping of RNA-Seq Reads to Transcriptomes using MinHashing
NFIR systems	Low-dimensional Decompositions for Nonlinear Finite Impulse Response Modeling
nitrogen export	Modeling the contribution of agriculture towards soil nitrogen surplus in Iowa
node connectivity	Fast and Accurate Determination of Graph Node Connectivity Leveraging Approximate Methods
Non-local approach	Large-scale stabilized multi-physics earthquake simulation for digital twin
Non-Local Means	MaMiCo: Non-Local Means Filtering with Flexible Data-Flow for Coupling MD and CFD
non-monotonic quantifiers	Linguistic Summaries using Interval-valued Fuzzy Representation of Imprecise Information - an Innovative Tool for Detecting Outliers
Non-uniform random subspace	Analysis of variance application in the construction of classifier ensemble based on optimal feature subset for the task of supporting glaucoma diagnosis
Nonlinear observations	From macro to micro and back: Microstates initialization from chaotic aggregate time series
Nonlinear transport	Learning nonlinear upscaling model for nonlinear transport problems
Nonlinear upscaling	Learning nonlinear upscaling model for nonlinear transport problems
nonparametric estimation	Reconstruction of Long-Lived Particles in LHCb CERN Project by Data Analysis and Computational Intelligence Methods Predicted Distribution Density Estimation for Streaming Data
normal distribution	Sampling method for the robust single machine scheduling with uncertain parameters
Nowcasting	Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods
NP-hard problem	Improved Lower Bounds for the Cyclic Bandwidth Problem
NPC behavior	Smart Events in Behavior of Non-player characters in Computer Games
nuclear fusion	Validation, verification and sensitivity analysis in the multiscale fusion plasma simulations
Numerical approximation methods for PDEs Approximation of entropy solutions	A study on a feedforward neural network to solve partial differential equations in hyperbolic-transport problems
numerical computations	EntDetector: entanglement detecting toolbox for bipartite quantum states
Numerical simulation	Numerical Investigation on Leakage and Diffusion Characteristics of Domestic Hydrogen-Blended Natural Gas in Indoor Space
Numerical Weather Prediction	Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods
NURBS curves	Advantages of interval modification of NURBS curves in modeling uncertain boundary shape in boundary value problems
O
Object Detection	Real-time Object Detection for Smart Connected Worker in 3D printing Automated Method for Evaluating Neural Network's Attention Focus Improving Deep Object Detection Backbone with Feature Layers
Object-Oriented Internet	Object-Oriented Internet - Cloud Interoperability
Oil and gas reservoirs	Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks
older adults	Comparison of Speech Recognition and Natural Language Understanding Frameworks for Detection of Dangers with Smart Wearables
on-grid learning set	Mimicking learning for 1-NN classifiers
OnCall Scheduling	OnCall Operator Scheduling for Satellites with Grover's Algorithm
Online disinformation	Fake or real? The novel approach to detect online disinformation based on multi ML classifiers
Online teaching	Increasing the impact of teacher presence in online lectures
ontology	Ontology-based decision support system for dietary recommendations for type 2 diabetes mellitus
OPC Unified Architecture	Object-Oriented Internet - Cloud Interoperability
Open-set classification	On validity of Extreme Value Theory-based parametric models for out-of-distribution detection
OpenFOAM	AI-accelerated CFD simulation based on OpenFOAM and CPU/GPU computing A comparison of the Richardson extrapolation and the approximation error estimation on the ensemble of numerical solutions
Operating Theatre	The use of type-2 fuzzy sets to assess delays in the implementation of the daily operation plan for the operating theatre
Operational research	Validating Optimal COVID-19 Vaccine Distribution Models
Operations research	An attempt to replace System Dynamics with Discrete Rate Modeling in demographic simulations
Opinion dynamics	How to reach consensus? Better disagree with your neighbor. The evolution of political views within the model with two binary opinions.
Optical Flow	Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods
Optical Network Optimization	Modeling traffic forecasts with probability in DWDM optical networks
Optical Node Model	Modeling traffic forecasts with probability in DWDM optical networks
optimal p refinement	Graph-grammar based longest-edge refinement algorithm for three-dimensional optimally p refined meshes with tetrahedral elements
optimal path planing	Pruned simulation-based optimal sailboat path search using micro HPC systems
optimal therapy	Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy
optimally-blended quadrature	Outlier removal for isogeometric spectral approximation with the optimally-blended quadratures
optimisation problem	Semi-analytical Monte Carlo optimisation method applied to the inverse Poisson problem
Optimization	Neural Networks for Conditioning Surface-Based Geological Models with Uncertainty Analysis Optimization of Resources Allocation in High Performance Computing under Utilization Uncertainty Explanation-driven model stacking Two stage approach to optimize electricity contract capacity problem for commercial customers Optimum Design of Tuned Mass Dampers for Adjacent Structures via Flower Pollination Algorithm On Fast Multi-Objective Optimization of Antenna Structures Using Pareto Front Triangulation and Inverse Surrogates Cross Entropy Optimization of Constrained Problem Hamiltonians for Quantum Annealing Improved Lower Bounds for the Cyclic Bandwidth Problem Similarity and Conformity Graphs in Lighting Optimization and Assessment Generic Case of Leap-Frog Algorithm for Optimal Knots Selection in Fitting Reduced Data
Orchestration	A Review on Visual Programming for Distributed Computation in IoT
Ordinal Regression	Scientific Paper Age Prediction
Ordinary differential equations	A machine learning method for parameter estimation and sensitivity analysis
Out-of-distribution detection	On validity of Extreme Value Theory-based parametric models for out-of-distribution detection
out-plan milk-run system	Out-plant milk-run-driven mission planning subject to dynamic changes of date and place delivery
outlier detection	Linguistic Summaries using Interval-valued Fuzzy Representation of Imprecise Information - an Innovative Tool for Detecting Outliers
over-sampling	Learning from Imbalanced Data Streams based on Over-Sampling and Instance Selection
overstimulation	Desensitization Due to Overstimulation: A Second-Order Adaptive Network Model
P
Parabolic equation	Chebyshev-type rational approximations of the one-way Helmholtz equation for solving a class of wave propagation problems
Parallel algorithm	A GPU algorithm for Outliers detection in TESS light curves
Parallel computations	The Power of a Collective: Team of Agents Solving Instances of the Flow Shop and Job Shop Problems
parallel computing	Serverless Nanopore Basecalling with AWS Lambda
Parallelism	RNACache: Fast Mapping of RNA-Seq Reads to Transcriptomes using MinHashing
Parameter estimation	Analysis of complex partial seizure using non-linear duffing Van der Pol oscillator model A machine learning method for parameter estimation and sensitivity analysis
Parameter-less Optimization	Automatic Optimization Method based on mesh morphing surface sculpting driven by Biological Growth Method: an application to the Coiled Spring section shape
Parametric curves	PIES for viscoelastic analysis
Parametric Partial Differential Equations	A Finite Element based Deep Learning solver for parametric PDEs
Partial differential equation	ELSA: Euler-Lagrange Skeletal Animations - novel and fast motion model applicable to VR/AR devices A study on a feedforward neural network to solve partial differential equations in hyperbolic-transport problems
Partial Differential Equations	Deep learning driven self-adaptive hp finite element method
particle transport	A Dynamic Replication Approach for Monte Carlo Photon Transport on Heterogeneous Architectures
Particle-In-Cell method	Optimize Memory Usage in Vector Particle-In-Cell (VPIC) to Break the 10 Trillion Particle Barrier in Plasma Simulations
Particle-mesh simulations	The OpenPME Problem Solving Environment for Numerical Simulations
Patient Triage	Fuzzy ontology for patient emergency department triage
Pattern searching	Data preprocessing, aggregation and clustering for agile manufacturing based on Automated Guided Vehicles
Peer review	A collaborative peer review process for grading coding assignments in coursework
Performance Analysis	Performance Analysis of Support Vector Machine Implementations on the D-Wave Quantum Annealer
performance requirements	Improved Design Closure of Compact Microwave Circuits by Means of Performance Requirement Adaptation
Periprosthetic Joint Infection	Towards cost-effective treatment of periprosthetic joint infection: from statistical analysis to Markov models
Persistence homology	Digital image reduction for analysis of topological changes in pore space during chemical dissolution
Petri-Markov Nets	Model of the Cold-start Recommender System Based on the Petri-Markov Nets
Petrov-Galerkin method	Effective solution of ill-posed inverse problems with stabilized forward solver
Phase equilibrium computation	Multi-phase compressible compositional simulations with phase equilibrium computation in the VTN specification
Phase Transitions	Monte-Carlo Approach to the Computational Capacities Analysis of the Computing Continuum
Photometric redshift	Scalable Statistical Inference of Photometric Redshift via Data Subsampling
photon transport	A Dynamic Replication Approach for Monte Carlo Photon Transport on Heterogeneous Architectures
Physics-Informed Echo State Network	Automatic-differentiated Physics-Informed Echo State Network (API-ESN)
Physics-Informed Neural Networks	NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework
PIES	PIES for viscoelastic analysis Advantages of interval modification of NURBS curves in modeling uncertain boundary shape in boundary value problems
Pilot Job	VVUQ of large-scale applications with QCG-PilotJob
pitch modelling	Football Players Movement Analysis in Panning Videos
Plasma physics	Optimize Memory Usage in Vector Particle-In-Cell (VPIC) to Break the 10 Trillion Particle Barrier in Plasma Simulations
point clouds	Vicinity-based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification
Poiseuille law	Undergraduate Capstone Project on One Dimensional Flow Problem
Policy making	Validating Optimal COVID-19 Vaccine Distribution Models
Polish	Side effect alerts generation from EHR in Polish
Political Compass	The evolution of political views within the model with two binary opinions.
Polymers	Ensemble Labeling Towards Scientific Information Extraction (ELSIE)
Polynomial chaos	Second Order Moments of Multivariate Hermite Polynomials
Polynomial Chaos Expansion	Comparison of polynomial chaos expansion and stochastic collocation methods: A case study in forced migration
polynomiography	Acceleration of the Robust Newton Method by the use of the S-iteration
Population modeling	An attempt to replace System Dynamics with Discrete Rate Modeling in demographic simulations
Population-Based Optimization	Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation
poroelasticity	Poroelasticity Modules for \texttt{DarcyLite}
Porous Media	Uncertainty Quantification of Tissue Damage Due to Blood Velocity in Hyperthermia Cancer Treatments Numerical investigation of transport processes in porous media under laminar, transitional and turbulent flow conditions with the lattice-Boltzmann method
Positive semidefinite second-order tensor fields	ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-based Computational Model
positive unlabeled learning	Some proposal of the high dimensional PU learning classification procedure
potential problems 2D	Comprehensive regularization of PIES for problems modeled by 2D Laplace’s equation
power distribution network	Applicability of Machine Learning to Short-Term Prediction of Changes in the Low Voltage Electricity Distribution Network
Pre-trained Generation	Exemplar Guided Latent Pre-trained Dialogue Generation
Pre-training Model	TS-Bert: Time-series Anomaly Detection via Pre-training Model Bert
predictability	Predictability Classes for Forecasting Bank Clients Behavior by Transactional Data
prediction	Efficient prediction of spatio-temporal events on the example of the availability of vehicles rented per minute Applicability of Machine Learning to Short-Term Prediction of Changes in the Low Voltage Electricity Distribution Network Predicted Distribution Density Estimation for Streaming Data LSTM processing of experimental time series with varied quality
Prediction model	Hybrid machine learning for time-series energy data for enhancing energy efficiency in buildings
predictive modelling	Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy
pressure Dirichlet boundary condition	A new finite element method for Stokes equations with pressure Dirichlet boundary condition
price discrimination	Dynamic pricing and discounts by means of interactive presentation systems in stationary point of sales
probabilistic model	Soft Confusion Matrix Classifier for Stream Classification
Probabilistic modeling	Comparison of Efficiency, Stability and Interpretability of Feature Selection Methods for Multiclassification Task on Medical Tabular Data
Probability	Optimization of Resources Allocation in High Performance Computing under Utilization Uncertainty
Probability Density Function	DenLAC: Density Levels Aggregation Clustering - A Flexible Clustering Method
Problem Solving Environment (PSE)	The OpenPME Problem Solving Environment for Numerical Simulations
Procedural content generation	Procedural Level Generation with Difficulty Level Estimation for Puzzle Games
process discovery	Feature Engineering with Process Mining Technique for Patient State Predictions
Process identification	New On-Line Algorithms for Modelling, Identification and Simulation of Non-Linear Multidimensional Dynamic Systems Using Modulating Functions and Non-Asymptotic State Estimators: Case Study for a Chosen Physical Process
process mining	Feature Engineering with Process Mining Technique for Patient State Predictions
procrastination	An Adaptive Network Model for Procrastination Behaviour Including Self-Regulation and Emotion Regulation
product matching	Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions
production cell	The problem of tasks scheduling with due dates in a flexible multi-machine production cell
programmable networks	Application of the Ant Colony algorithm for routing in next generation programmable networks
Project Critical Time	The use of type-2 fuzzy sets to assess delays in the implementation of the daily operation plan for the operating theatre
Project uncertainty	Vector and triangular representations of project estimation uncertainty: effect of gender on usability
projection based interpolation	Graph-grammar based longest-edge refinement algorithm for three-dimensional optimally p refined meshes with tetrahedral elements
PROMETHEE II	A New Approach to Eliminate Rank Reversal in the MCDA problems
Pseudo-parabolic equation	An application of a pseudo-parabolic modeling to texture image recognition
Pseudoinverse matrix	Modelling and forecasting based on recurrent pseudoinverse matrices
PTSD development and recovery	A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD
Puzzle game	Procedural Level Generation with Difficulty Level Estimation for Puzzle Games
Python	Towards cost-effective treatment of periprosthetic joint infection: from statistical analysis to Markov models
Q
q-voter	Three-state opinion q-voter model with bounded confidence
Quadratic eigenproblems	Refined Isogeometric Analysis for Solving Quadratic Eigenproblems in Electromagnetics
Quadratic unconstrained binary Optimisation	Performance Analysis of Support Vector Machine Implementations on the D-Wave Quantum Annealer Portfolio Optimisation Using the D-Wave Quantum Annealer
quadrilateral meshes	Poroelasticity Modules for \texttt{DarcyLite}
Quality Assessment	Electrocardiogram Quality Assessment with Autoencoder
quantum algorithms	Implementing Quantum Finite Automata Algorithms on Noisy Devices
Quantum annealing	Index calculus method for solving elliptic curve discrete logarithm problem using quantum annealing Multimodal Container Planning: a QUBO Formulation and Implementation on a Quantum Annealer Performance Analysis of Support Vector Machine Implementations on the D-Wave Quantum Annealer Cross Entropy Optimization of Constrained Problem Hamiltonians for Quantum Annealing Portfolio Optimisation Using the D-Wave Quantum Annealer
Quantum asymmetric encryption	Quantum Asymmetric Encryption Based on Quantum Point Obfuscation
quantum circuit	Implementing Quantum Finite Automata Algorithms on Noisy Devices
Quantum Cloud Services	On Decision Support for Quantum Application Developers: Categorization, Comparison, and Analysis of Existing Technologies
Quantum Computing	Multimodal Container Planning: a QUBO Formulation and Implementation on a Quantum Annealer Classification using a two-qubit quantum chip
Quantum Computing Technologies	On Decision Support for Quantum Application Developers: Categorization, Comparison, and Analysis of Existing Technologies
quantum entanglement	EntDetector: entanglement detecting toolbox for bipartite quantum states
quantum finite automata	Implementing Quantum Finite Automata Algorithms on Noisy Devices
Quantum Material Science	Quantum Data Hub: A Collaborative Data and Analysis Platform for Quantum Material Science
Quantum obfuscation	Quantum Asymmetric Encryption Based on Quantum Point Obfuscation
Quantum point function	Quantum Asymmetric Encryption Based on Quantum Point Obfuscation
Quantum Portfolio Optimisation	Portfolio Optimisation Using the D-Wave Quantum Annealer
quantum software	EntDetector: entanglement detecting toolbox for bipartite quantum states
Quantum Software Development	On Decision Support for Quantum Application Developers: Categorization, Comparison, and Analysis of Existing Technologies
QUBO	Index calculus method for solving elliptic curve discrete logarithm problem using quantum annealing
QUBO Modelling	Multimodal Container Planning: a QUBO Formulation and Implementation on a Quantum Annealer
R
Radial Basis Functions	Analysis of vortex induced vibration of a thermowell by high fidelity FSI numerical analysis based on RBF structural modes embedding
Railway Station	An Efficient Hybrid Planning Framework for In-Station Train Dispatching
random element	Classifying Functional Data from Orthogonal Projections -- model, properties and fast implementation
Randomization	Using Randomized Sub-data Sets for an Ensemble of Deep Learning Models to enhance Robustness
randomized reference classifier	Soft Confusion Matrix Classifier for Stream Classification
Rank Reversal	A New Approach to Eliminate Rank Reversal in the MCDA problems
Rational approximation	Chebyshev-type rational approximations of the one-way Helmholtz equation for solving a class of wave propagation problems
RBF	Analysis of vortex induced vibration of a thermowell by high fidelity FSI numerical analysis based on RBF structural modes embedding
Reactive networking	Object-Oriented Internet - Cloud Interoperability
Read mapping	RNACache: Fast Mapping of RNA-Seq Reads to Transcriptomes using MinHashing
Real-Time Bidding	Fast Click-Through Rate Estimation using Data Aggregates
real-time inversion	Real-time probabilistic inversion of DNN-based DeepEM model while accounting for model error Design of borehole resistivity measurement acquisition systems for noisy data using deep learning
Recirculating aquaculture systems	Monitoring the Uniformity of Fish Feeding Based on Image Feature Analysis
recommendation system	Model of the Cold-start Recommender System Based on the Petri-Markov Nets Dynamic pricing and discounts by means of interactive presentation systems in stationary point of sales
Recommender systems	Quality of Recommendations and Cold-start Problem in Recommender Systems based on Multi-Clusters
reconstruction of long-lived particles	Reconstruction of Long-Lived Particles in LHCb CERN Project by Data Analysis and Computational Intelligence Methods
Recovery	Simulation of Burnout Processes by a Multi-Order Adaptive Network Model
Recurrent	Recurrent Autoencoder with Sequence-Aware Encoding
Recurrent Neural Network	Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets
Recurrent Neural Networks	Music genre classification: looking for the Perfect Network
recurring influence	Co-evolution of Knowledge Diffusion and Absorption: A Simulation-Based Analysis
recursive feature elimination	Comparison of Efficiency, Stability and Interpretability of Feature Selection Methods for Multiclassification Task on Medical Tabular Data
Reduced Data	Generic Case of Leap-Frog Algorithm for Optimal Knots Selection in Fitting Reduced Data
Reduced order models	Latent GAN: using a latent space-based GAN for rapid forecasting of CFD models
Refined isogeometric analysis	Refined Isogeometric Analysis for Solving Quadratic Eigenproblems in Electromagnetics
Refugee Movements	Towards a coupled migration and weather simulation: South Sudan conflict
region proposal	Automated Method for Evaluating Neural Network's Attention Focus
Regression	EEG-based Emotion Recognition – Evaluation Methodology Revisited
regularized PIES	Comprehensive regularization of PIES for problems modeled by 2D Laplace’s equation
Reinforcement Learning	AI-based optimization of earthquake fiber bundle models using reinforcement learning Modified deep Q-network algorithm applied to the evacuation problem
Relations Extraction	Ensemble Labeling Towards Scientific Information Extraction (ELSIE)
relative humidity	Modeling and Simulation of Atmospheric Water Generation Unit Using Anhydrous Salts
renal transplantation	TBox - Risk Classification Models for Kidney Graft Failure
renewable energy	Renewable energy-aware heuristic algorithms for edge server selection for stream data processing
Representation learning	Relation order histograms as a network embedding tool
Reproducibility	Error estimation and correction using the forward CENA method
Resampling	Using Randomized Sub-data Sets for an Ensemble of Deep Learning Models to enhance Robustness
research software	How has the COVID-19 Pandemic affected working conditions for Research Software Engineers? Understanding Equity, Diversity and Inclusivity Challenges Within the Research Software Community
Research Software Engineering	How has the COVID-19 Pandemic affected working conditions for Research Software Engineers? Understanding Equity, Diversity and Inclusivity Challenges Within the Research Software Community
Reservoir Computing	Grouped Multi-Layer Echo State Networks with Self-Normalizing Activations Automatic-differentiated Physics-Informed Echo State Network (API-ESN)
Resilience	How has the COVID-19 Pandemic affected working conditions for Research Software Engineers?
resistivity measurements	Design of borehole resistivity measurement acquisition systems for noisy data using deep learning
ResNet	Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets A Deep Learning Approach for Polycrystalline Microstructure-Statistical Property Prediction
Resource	Optimization of Resources Allocation in High Performance Computing under Utilization Uncertainty
resource allocation	Discovering the diversity of patient treatment decisions through clinical pathways modeling and physician profiling
Resource and environment	Solutions and Challenges in Computing FBSDEs with Large Jumps for Dam and Reservoir System Operation
Retrieval	Semantic similarity metric learning for sketch-based 3D shape retrieval
Revolve	Revolve-Based Adjoint Checkpointing for Multistage Time Integration
Richardson extrapolation	A comparison of the Richardson extrapolation and the approximation error estimation on the ensemble of numerical solutions
Riesz space-fractional derivative	Analytic and Numerical Solutions of Space-Time Fractional Diffusion Wave Equations with different Fractional order
Rigid object	Motion Trajectory Grouping for Human Head Gestures Related to Facial Expressions
rigidity of graphs	An Exact Algorithm for Finite Metric Space Embedding into a Euclidean Space when the Dimension of the Space is not Known.
Ritz method	Deep Learning for solving partial differential equations using Ritz method
RNA-seq	RNACache: Fast Mapping of RNA-Seq Reads to Transcriptomes using MinHashing
RNN	Recurrent Autoencoder with Sequence-Aware Encoding
road lighting	Estimation of Road Lighting Power Efficiency Using Graph-Controlled Spatial Data Interpretation
robust Newton	Acceleration of the Robust Newton Method by the use of the S-iteration
rotation gate	Implementing Quantum Finite Automata Algorithms on Noisy Devices
Rough Set	Theory of Mind Helps to Predict Neurodegenerative Processes in Parkinson's Disease
Roundoff error	Error estimation and correction using the forward CENA method
Rules	Theory of Mind Helps to Predict Neurodegenerative Processes in Parkinson's Disease Introducing Uncertainty Into Explanaible AI Methods
S
S iteration	Acceleration of the Robust Newton Method by the use of the S-iteration
Sampling	Monte Carlo Winning Tickets
sampling method	Sampling method for the robust single machine scheduling with uncertain parameters
Sampling methods	Improvement of random undersampling to avoid excessive removal of points from a given area of the majority class
Sano Centre	Does In Silico Medicine need Big Science?
Satellites	OnCall Operator Scheduling for Satellites with Grover's Algorithm
Satisfiability modulo theories	Exact Searching for the Smallest Deterministic Automaton
SBDF methods	A Semi-implicit Backward Differentiation ADI Method for Solving Monodomain Model
Scalability	Evaluating WRF-BEP/BEM performance: on the way to analyze urban air quality at high resolution using WRF-Chem+BEP/BEM Agent-based Modeling of Social Phenomena for High Performance Distributed Simulations
Scalable systems	Scalable Computing System with Two-Level Reconfiguration of Multi-Channel Inter-Node communication
scale in VR	Factors affecting the sense of scale in immersive, realistic Virtual Reality space
Scatter plots	ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-based Computational Model
Scattered mechanical properties	A Deep Learning Approach for Polycrystalline Microstructure-Statistical Property Prediction
Scheduling	A Job Shop Scheduling Problem with Due Dates under Conditions of Uncertainty Optimization of Resources Allocation in High Performance Computing under Utilization Uncertainty The use of type-2 fuzzy sets to assess delays in the implementation of the daily operation plan for the operating theatre The problem of tasks scheduling with due dates in a flexible multi-machine production cell
scientific data management	Scientific workflow management on hybrid clouds with cloud bursting and transparent data access
scientific software	How has the COVID-19 Pandemic affected working conditions for Research Software Engineers? I/O Associations in Scientific Software: A Study of SWMM
scientific visualization	Investigating In Situ Reduction via Lagrangian Representations for Cosmology and Seismology Applications
scientific workflow management	Scientific workflow management on hybrid clouds with cloud bursting and transparent data access
Scientific workflows	Evaluating energy-aware scheduling algorithms for I/O-intensive scientific workflows
Scientometrics	Scientific Paper Age Prediction
SciMAT	Computational Intelligence Techniques for Assessing Data Quality: Towards Knowledge-Driven Processing
Scoring function	Clustering and Weighted Scoring Algorithm Based on Estimating the Number of Clusters
Seasonal influenza	Modeling co-circulation of influenza strains in heterogeneous urban populations: the role of herd immunity and uncertainty factors
Second-order adaptation	How Attachment to your Primary Caregiver Influences your First Adult Relationship: An Adaptive Network Model of Attachment Theory
second-order adaptive	A Higher-Order Adaptive Network Model to Simulate Development of and Recovery from PTSD Desensitization Due to Overstimulation: A Second-Order Adaptive Network Model Simulation of Burnout Processes by a Multi-Order Adaptive Network Model
Security	Machine learning algorithms for conversion of CVSS base score from 2.0 to 3.x
seed selection	Multi-Criteria Seed Selection for Targeted In uence Maximization within Social Networks
Self-Attention	MGEL: A Robust Malware Encrypted Traffic Detection Method Based on Ensemble Learning with Multi-Grained Features
Self-Normalizing Activation	Grouped Multi-Layer Echo State Networks with Self-Normalizing Activations
self-regulation	An Adaptive Network Model for Procrastination Behaviour Including Self-Regulation and Emotion Regulation
Semantic feature	Semantic similarity metric learning for sketch-based 3D shape retrieval
semantic interoperability	Ontology-based decision support system for dietary recommendations for type 2 diabetes mellitus
Semantic network	Exploiting Extensive External Information for Event Detection through Semantic Networks Word Representation and Attention Map
Semantic segmentation	Deep convolutional neural networks in application to kidney segmentation in the DCE-MR images
Semi-Lagrangian method	An enhanced finite element algorithm for thermal Darcy flows with variable viscosity
Semi-Supervised Clustering	A Semi-Supervised Approach for Trajectory Segmentation to Identify Different Moisture Processes in the Atmosphere
semi-supervised learning	Discriminative Bayesian Filtering for the Semi-Supervised Augmentation of Sequential Observation Data
sense of scale	Factors affecting the sense of scale in immersive, realistic Virtual Reality space
sense of scale factors	Factors affecting the sense of scale in immersive, realistic Virtual Reality space
Sensitivity Analysis	Validation, verification and sensitivity analysis in the multiscale fusion plasma simulations Comparison of polynomial chaos expansion and stochastic collocation methods: A case study in forced migration Semi-intrusive Uncertainty Quantification of a 3D In-stent Restenosis Model with surrogate modeling Modeling the contribution of agriculture towards soil nitrogen surplus in Iowa A machine learning method for parameter estimation and sensitivity analysis
sensor data processing	Effective Car Collision Detection with Mobile Phone Only
Sensor fusion	Challenges associated with sensors and data fusion for AGV-driven smart manufacturing
Sentiment Analysis	A Software Pipeline Based on Sentiment Analysis to Analyze Narrative Medicine Texts MultiEmo: Multilingual, Multilevel, Multidomain Sentiment Analysis Corpus of Consumer Reviews Predicting Soccer Results through Sentiment Analysis: A Graph Theory Approach
Sentiment Transfer	Unsupervised Text Style Transfer via An Enhanced Operation Pipeline
Sequence	Recurrent Autoencoder with Sequence-Aware Encoding
serverless computing	Serverless Nanopore Basecalling with AWS Lambda
Shallow water equation	High Resolution TVD Scheme based on Fuzzy Modifiers for Shallow-Water equations
Shape reconstruction	Shape reconstruction from point clouds using closed form solution of a fourth-order partial differential equation
short-term memory	Low-dimensional Decompositions for Nonlinear Finite Impulse Response Modeling
signal strength	Bluetooth Low Energy Livestock Positioning for Smart Farming Applications
Similarity detection	Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks
similarity graph	Similarity and Conformity Graphs in Lighting Optimization and Assessment
simulation	Modeling and Simulation of Atmospheric Water Generation Unit Using Anhydrous Salts
Simulation metrics	Scaling Simulation of Continuous Urban Traffic Model for High Performance Computing System
Simulation scalability	Scaling Simulation of Continuous Urban Traffic Model for High Performance Computing System
simulation-based optimization	Improved Design Closure of Compact Microwave Circuits by Means of Performance Requirement Adaptation
Simulations	VVUQ of large-scale applications with QCG-PilotJob
Simulator	A Model for Urban Social Networks
single machine scheduling	Sampling method for the robust single machine scheduling with uncertain parameters
singular integrals	Comprehensive regularization of PIES for problems modeled by 2D Laplace’s equation
SIR modeling and simulation	Multi-Agent Spatial SIR-Based Modeling and Simulation of Infection Spread Management
SIRD	How fast vaccination can control the COVID-19 pandemic in Brazil?
Skeletal animation	ELSA: Euler-Lagrange Skeletal Animations - novel and fast motion model applicable to VR/AR devices
Sketch	Semantic similarity metric learning for sketch-based 3D shape retrieval
Sliding morphing	Analysis of vortex induced vibration of a thermowell by high fidelity FSI numerical analysis based on RBF structural modes embedding
SLR	ASH: A New Tool for Automated and Full-Text Search in Systematic Literature Reviews
Smart city	Smoothing Speed Variability in Age-Friendly Urban Traffic Management
Smart connected worker	Real-time Object Detection for Smart Connected Worker in 3D printing
Smart Events	Smart Events in Behavior of Non-player characters in Computer Games
Smart Farming	Bluetooth Low Energy Livestock Positioning for Smart Farming Applications
smart sports training	Discovering the influence of interruptions in cycling training: A data science study
smart system	Profile-driven synthetic trajectories generation to enhance smart systems solutions
Snorkel	Ensemble Labeling Towards Scientific Information Extraction (ELSIE)
Sobol’ indices	Iterative global sensitivity analysis algorithm with neural network surrogate modeling
soccer player tracking	Football Players Movement Analysis in Panning Videos
Social models	Agent-based Modeling of Social Phenomena for High Performance Distributed Simulations
Social Networks	Predicting Soccer Results through Sentiment Analysis: A Graph Theory Approach
SocialTruth	Transformer Based Models in Fake News Detection
socio-cognitive computing	Socio-cognitive Evolution Strategies
soft confusion matrix	Soft Confusion Matrix Classifier for Stream Classification
software defined networking	Application of the Ant Colony algorithm for routing in next generation programmable networks
Software Design	MaMiCo: Non-Local Means Filtering with Flexible Data-Flow for Coupling MD and CFD
software engineering	Understanding Equity, Diversity and Inclusivity Challenges Within the Research Software Community
Solar activity analysis	Grid-Based Concise Hash for Solar Images
Solar image description	Grid-Based Concise Hash for Solar Images
Solar Irradiance	Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods
Somatic mutations	PathMEx: Pathway-based Mutual Exclusivity for Discovering Rare Cancer Driver Mutations
sparse linear regression	Adiabatic Quantum Feature Selection for Sparse Linear Regression
spatial data analysis	Estimation of Road Lighting Power Efficiency Using Graph-Controlled Spatial Data Interpretation
Spatial locality	ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-based Computational Model
Spatial Transformer Networks	Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets
spatially-triggered graph transformations	Estimation of Road Lighting Power Efficiency Using Graph-Controlled Spatial Data Interpretation
spatio-temporal events	Efficient prediction of spatio-temporal events on the example of the availability of vehicles rented per minute
Spectral clustering	Higher-order hierarchical spectral clustering for multidimensional data
spectrum	Outlier removal for isogeometric spectral approximation with the optimally-blended quadratures
speech recognition	Comparison of Speech Recognition and Natural Language Understanding Frameworks for Detection of Dangers with Smart Wearables
Spiral Wave	A Semi-implicit Backward Differentiation ADI Method for Solving Monodomain Model
SPMD-parallel processing	Pruned simulation-based optimal sailboat path search using micro HPC systems
Sports Analytics	Predicting Soccer Results through Sentiment Analysis: A Graph Theory Approach
sports video analysis	Football Players Movement Analysis in Panning Videos
SPOTIS	New rank-reversal free approach to handle interval data in MCDA problems
Stability	Analytic and Numerical Solutions of Space-Time Fractional Diffusion Wave Equations with different Fractional order
Staggered DG	Staggered DG method for Darcy flows in fractured porous media on general meshes
State observers	New On-Line Algorithms for Modelling, Identification and Simulation of Non-Linear Multidimensional Dynamic Systems Using Modulating Functions and Non-Asymptotic State Estimators: Case Study for a Chosen Physical Process
Statistical Analysis	Towards cost-effective treatment of periprosthetic joint infection: from statistical analysis to Markov models
steepest-descent local search	New variants of SDLS algorithm for LABS problem dedicated to GPGPU architectures
STEM	Model-based approach to automated provisioning of collaborative educational services
stenosis	Stenosis assessment via volumetric flow rate calculation
Stochastic Collocation	Comparison of polynomial chaos expansion and stochastic collocation methods: A case study in forced migration
Stochastic Galerkin methods	Second Order Moments of Multivariate Hermite Polynomials
Stochastic maximum principle	Solutions and Challenges in Computing FBSDEs with Large Jumps for Dam and Reservoir System Operation
Stochastic processes	Modeling co-circulation of influenza strains in heterogeneous urban populations: the role of herd immunity and uncertainty factors
Stokes equations	A new finite element method for Stokes equations with pressure Dirichlet boundary condition
Stokes-Darcy coupling	Novel finite element solvers for coupled Stokes-Darcy flow problems
Storm Water Management Model (SWMM)	I/O Associations in Scientific Software: A Study of SWMM
Strain co-circulation	Modeling co-circulation of influenza strains in heterogeneous urban populations: the role of herd immunity and uncertainty factors
stream classification	Soft Confusion Matrix Classifier for Stream Classification
streaming data	Reconstruction of Long-Lived Particles in LHCb CERN Project by Data Analysis and Computational Intelligence Methods Predicted Distribution Density Estimation for Streaming Data
Stress-Induced Neural Anatomy	Regaining Cognitive Control: An Adaptive Computational Model Involving Neural Correlates of Stress, Control and Intervention
Structural learning	Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks
structure detection	Low-dimensional Decompositions for Nonlinear Finite Impulse Response Modeling
Structure tensor	ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-based Computational Model
Students Classification	Analysis of Semestral Progress in Higher Technical Education with HMM Models
Submarine	Numerical Simulation of Free Surface Affected by Submarine with a Rotating Screw Moving Underwater
Subspace selection	Analysis of variance application in the construction of classifier ensemble based on optimal feature subset for the task of supporting glaucoma diagnosis
Super-Droplet Method	On the design of Monte-Carlo particle coagulation solver interface: a CPU/GPU Super-Droplet Method case study with PySDM
superconvergence	Outlier removal for isogeometric spectral approximation with the optimally-blended quadratures
supermodeling	Supermodeling - a meta-procedure for data assimilation and parameters estimation
supervised machine learning	Applying DCT combined cepstrum for arteriovenous fistula state estimation
Support Vector Machine	Performance Analysis of Support Vector Machine Implementations on the D-Wave Quantum Annealer
surface	Towards understanding time varying triangle meshes
surface modelling	Composite generalized elliptic curve-based surface reconstruction
surrogate model	Using machine learning to correct model error in data assimilation and forecast applications
surrogate modeling	Semi-intrusive Uncertainty Quantification of a 3D In-stent Restenosis Model with surrogate modeling Iterative global sensitivity analysis algorithm with neural network surrogate modeling
Surrogate Models	Gaussian Process surrogate models for uncertainty quantification in multiscale fusion simulations
Sustainability	Combining heterogeneous indicators by adopting Adaptive MCDA: dealing with Uncertainty
Sustainable agriculture	A new multi-objective approach to optimize irrigation using a crop simulation model and weather history
Sustainable software development	A collaborative peer review process for grading coding assignments in coursework
Symbolic Aggregate Approximation (SAX)	Trend Capturing SAX
Synergistic Interventions	Identifying Synergistic Interventions to Address COVID-19 Using a Large Scale Agent-Based Model
Synonym information	A Method for Improving Word Representation Using Synonym Information
Synonym representation	A Method for Improving Word Representation Using Synonym Information
synthetic dataset	Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets
synthetic trajectories generation	Profile-driven synthetic trajectories generation to enhance smart systems solutions
System Dynamics	Refining the causal loop diagram: a tutorial for maximizing the contribution of domain expertise in computational system dynamics modeling
system modeling	Modeling the contribution of agriculture towards soil nitrogen surplus in Iowa
Systematic Literature Review	ASH: A New Tool for Automated and Full-Text Search in Systematic Literature Reviews
Systematic Review	ASH: A New Tool for Automated and Full-Text Search in Systematic Literature Reviews
T
tabu search	Sampling method for the robust single machine scheduling with uncertain parameters
targeted inuence maximization	Multi-Criteria Seed Selection for Targeted In uence Maximization within Social Networks
Teacher presence	Increasing the impact of teacher presence in online lectures
Teaching aid tools	Increasing the impact of teacher presence in online lectures
Team-Based Modeling	How Do Teams of Novice Modelers Choose An Approach? An Iterated, Repeated Experiment In A First-Year Modeling Course
Tempered stable subordinator	Solutions and Challenges in Computing FBSDEs with Large Jumps for Dam and Reservoir System Operation
Tensor decomposition	Higher-order hierarchical spectral clustering for multidimensional data
Tensor voting	ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-based Computational Model
termination criteria	Iterative global sensitivity analysis algorithm with neural network surrogate modeling
tetrahedral elements	Graph-grammar based longest-edge refinement algorithm for three-dimensional optimally p refined meshes with tetrahedral elements
Text Age Prediction	Scientific Paper Age Prediction
text classification	MAM: A Metaphor-based Approach for Mental Illness Detection
Text Mining	A Software Pipeline Based on Sentiment Analysis to Analyze Narrative Medicine Texts
text-mining	Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions
Texture recognition	An application of a pseudo-parabolic modeling to texture image recognition
Thermal Darcy flows	An enhanced finite element algorithm for thermal Darcy flows with variable viscosity
thermal imaging	Supporting Driver Physical State Estimation by Means of Thermal Image Processing
Thermoacoustics	Data Assimilation using Heteroscedastic Bayesian Neural Network Ensembles for Reduced-Order Flame Models
thermoelasticity	MsFEM upscaling for coupled thermo-mechanical problem
Thermowell	Analysis of vortex induced vibration of a thermowell by high fidelity FSI numerical analysis based on RBF structural modes embedding
thresholded Lasso	Some proposal of the high dimensional PU learning classification procedure
Time marching	PIES for viscoelastic analysis
Time Series	Warm-Start Meta-Ensembles for Forecasting Energy Consumption in Service Buildings LSTM processing of experimental time series with varied quality Modeling traffic forecasts with probability in DWDM optical networks
Time Series Analysis	TS-Bert: Time-series Anomaly Detection via Pre-training Model Bert
Time Series Classification	Trend Capturing SAX
time series data mining technique	Description of electricity consumption by using leading hours intra-day model
time varying mesh	Towards understanding time varying triangle meshes
Time-Delay Systems	Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation
time-integration schemes	A three-level linearized time integration scheme for tumor simulations with Cahn-Hilliard equations
Time-Series Segmentation	A Semi-Supervised Approach for Trajectory Segmentation to Identify Different Moisture Processes in the Atmosphere
time-stepping	AIHPC4AS KEYNOTE: The Discontinuous Petrov-Galerkin (DPG) Method for Convection-Reaction Problems
tissue perfusion modelling	Uncertainty Quantification of Coupled 1D Arterial Blood Flow and 3D Tissue Perfusion Models Using the INSIST Framework
Topic Modeling	A Software Pipeline Based on Sentiment Analysis to Analyze Narrative Medicine Texts
TOPSIS	A New Approach to Eliminate Rank Reversal in the MCDA problems New rank-reversal free approach to handle interval data in MCDA problems
tracking	Towards understanding time varying triangle meshes
Traffic fingerprinting	HSLF: HTTP Header Sequence based LSH fingerprints for Application Traffic Classification
Traffic Modeling	A multi-cell cellular automata model of traffic flow with emergency vehicles: effect of a corridor of life
Traffic prediction	Machine-Learning Based Prediction of Multiple Types of Network Traffic
Trajectory grouping	Motion Trajectory Grouping for Human Head Gestures Related to Facial Expressions
trajectory optimisation	Pruned simulation-based optimal sailboat path search using micro HPC systems
transactional data	Predictability Classes for Forecasting Bank Clients Behavior by Transactional Data
Transcriptomics	RNACache: Fast Mapping of RNA-Seq Reads to Transcriptomes using MinHashing
Transfer Learning	Timeseries based deep hybrid transfer learning framework: A case of electrical vehicle energy consumption Improving UWB Indoor Localization Accuracy Using Sparse Fingerprinting and Transfer Learning
Transformers	Transformer Based Models in Fake News Detection
Transient	MaMiCo: Non-Local Means Filtering with Flexible Data-Flow for Coupling MD and CFD
Transport models	A study on a feedforward neural network to solve partial differential equations in hyperbolic-transport problems
Transportation Networks	Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation
Trending SAX (TSAX)	Trend Capturing SAX
Trigger-action programming	Programming IoT-spaces: A User-Survey on Home Automation Rules
Trojan traffic	Trojan Traffic Detection Based on Meta-learning
tumor dynamics	Supermodeling - a meta-procedure for data assimilation and parameters estimation
tumor simulations	A three-level linearized time integration scheme for tumor simulations with Cahn-Hilliard equations
Tuned Mass Dampers	Optimum Design of Tuned Mass Dampers for Adjacent Structures via Flower Pollination Algorithm
Turbulence	Auto-Encoded Reservoir Computing for Turbulence Learning
Turbulent flow	Numerical investigation of transport processes in porous media under laminar, transitional and turbulent flow conditions with the lattice-Boltzmann method
Turbulent relaxation time	Numerical investigation of transport processes in porous media under laminar, transitional and turbulent flow conditions with the lattice-Boltzmann method
Turbulent scalar transport	Numerical investigation of transport processes in porous media under laminar, transitional and turbulent flow conditions with the lattice-Boltzmann method
type 2 diabetes mellitus	Ontology-based decision support system for dietary recommendations for type 2 diabetes mellitus
Type-2 Fuzzy Number	The use of type-2 fuzzy sets to assess delays in the implementation of the daily operation plan for the operating theatre
U
uncertain data	LSTM processing of experimental time series with varied quality
uncertain parameters	Sampling method for the robust single machine scheduling with uncertain parameters
Uncertainty	A Job Shop Scheduling Problem with Due Dates under Conditions of Uncertainty Optimization of Resources Allocation in High Performance Computing under Utilization Uncertainty Improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements Introducing Uncertainty Into Explanaible AI Methods New rank-reversal free approach to handle interval data in MCDA problems Fuzzy ontology for patient emergency department triage Combining heterogeneous indicators by adopting Adaptive MCDA: dealing with Uncertainty
Uncertainty Processing	Computational Intelligence Techniques for Assessing Data Quality: Towards Knowledge-Driven Processing
Uncertainty Quantification	Comparison of polynomial chaos expansion and stochastic collocation methods: A case study in forced migration Gaussian Process surrogate models for uncertainty quantification in multiscale fusion simulations Semi-intrusive Uncertainty Quantification of a 3D In-stent Restenosis Model with surrogate modeling Uncertainty quantification of COVID-19 exit strategies in an individual-based and geographically stratified transmission model Uncertainty Quantification of Coupled 1D Arterial Blood Flow and 3D Tissue Perfusion Models Using the INSIST Framework Uncertainty Quantification of Tissue Damage Due to Blood Velocity in Hyperthermia Cancer Treatments
undergraduate	Non-Majors Biology with Laboratories Using Computer Simulations
Undergraduate research	Undergraduate Capstone Project on One Dimensional Flow Problem
Undersampling	Improvement of random undersampling to avoid excessive removal of points from a given area of the majority class
Unified finite elements	An enhanced finite element algorithm for thermal Darcy flows with variable viscosity
Unsupervised Learning	Unsupervised Text Style Transfer via An Enhanced Operation Pipeline
upscaling	MsFEM upscaling for coupled thermo-mechanical problem
UQ	VVUQ of large-scale applications with QCG-PilotJob
Urban air pollution	Latent GAN: using a latent space-based GAN for rapid forecasting of CFD models
urban ecosystem calibration	Profile-driven synthetic trajectories generation to enhance smart systems solutions
Urban scale	Evaluating WRF-BEP/BEM performance: on the way to analyze urban air quality at high resolution using WRF-Chem+BEP/BEM
Urban social network	A Model for Urban Social Networks
Urban traffic simulation	Scaling Simulation of Continuous Urban Traffic Model for High Performance Computing System
Usability	Vector and triangular representations of project estimation uncertainty: effect of gender on usability
user classification from survey data	Discriminative Bayesian Filtering for the Semi-Supervised Augmentation of Sequential Observation Data
user forum	I/O Associations in Scientific Software: A Study of SWMM
user manual	I/O Associations in Scientific Software: A Study of SWMM
UWB	Static and Dynamic Comparison of Pozyx and DecaWave UWB Indoor Localization Systems with Possible Improvements Improving UWB Indoor Localization Accuracy Using Sparse Fingerprinting and Transfer Learning
V
Vaccination	How fast vaccination can control the COVID-19 pandemic in Brazil?
Vaccine distribution	Validating Optimal COVID-19 Vaccine Distribution Models
validation	Validation, verification and sensitivity analysis in the multiscale fusion plasma simulations
validation on historical data	Deep learning model of logging-while-drilling electromagnetic measurements
Van der Pol oscillator	Analysis of complex partial seizure using non-linear duffing Van der Pol oscillator model
variable-resolution simulations	Expedited Trust-Region-Based Design Closure of Antennas by Variable-Resolution EM Simulations
Variance threshold	Comparison of Efficiency, Stability and Interpretability of Feature Selection Methods for Multiclassification Task on Medical Tabular Data
vector field data	Investigating In Situ Reduction via Lagrangian Representations for Cosmology and Seismology Applications
Vehicle routing	Smoothing Speed Variability in Age-Friendly Urban Traffic Management
vehicle safety	Effective Car Collision Detection with Mobile Phone Only
verification	Validation, verification and sensitivity analysis in the multiscale fusion plasma simulations
Virtual Reality	Building a Prototype for Easy to Use Collaborative Immersive Analytics Factors affecting the sense of scale in immersive, realistic Virtual Reality space
Viscoelasticity	PIES for viscoelastic analysis
Visual place recognition	Place Inference via Graph-based One-class Decisions on Deep Embeddings and Blur Detections
Visual processing	Vector and triangular representations of project estimation uncertainty: effect of gender on usability
Visual Programming	A Review on Visual Programming for Distributed Computation in IoT
Visual Storytelling	Human-like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling
Voice assistant	A Voice-based Travel Recommendation System Using Linked Open Data
Voice Control	A Decision Support System Based on Augmented Reality for the Safe Preparation of Chemotherapy Drugs
Voronoi diagrams	Mimicking learning for 1-NN classifiers
Vortex-Induced Vibration	Analysis of vortex induced vibration of a thermowell by high fidelity FSI numerical analysis based on RBF structural modes embedding
VOSviewer	Computational Intelligence Techniques for Assessing Data Quality: Towards Knowledge-Driven Processing
VTN-flash	Multi-phase compressible compositional simulations with phase equilibrium computation in the VTN specification
VTN-stability	Multi-phase compressible compositional simulations with phase equilibrium computation in the VTN specification
VVUQ	VVUQ of large-scale applications with QCG-PilotJob
W
Warm-Start Ensembles	Warm-Start Meta-Ensembles for Forecasting Energy Consumption in Service Buildings
Water use efficiency	A new multi-objective approach to optimize irrigation using a crop simulation model and weather history
Wave propagation	Chebyshev-type rational approximations of the one-way Helmholtz equation for solving a class of wave propagation problems
WDM System Design	Modeling traffic forecasts with probability in DWDM optical networks
weak Galerkin methodology	Novel finite element solvers for coupled Stokes-Darcy flow problems
weak Galerkin nite element methods	Poroelasticity Modules for \texttt{DarcyLite}
wearable sensors	Comparison of Speech Recognition and Natural Language Understanding Frameworks for Detection of Dangers with Smart Wearables
wearables	Discovering the influence of interruptions in cycling training: A data science study
weighted chi squared distribution	Detection of conditional dependence between multiple variables using multiinformation
Weighted tardiness	A Job Shop Scheduling Problem with Due Dates under Conditions of Uncertainty
well geosteering	Design of borehole resistivity measurement acquisition systems for noisy data using deep learning
Well-known Vulnerabilities	Machine learning algorithms for conversion of CVSS base score from 2.0 to 3.x
Wildfire	Improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements
Wnet2vec	Exploiting Extensive External Information for Event Detection through Semantic Networks Word Representation and Attention Map
Workflow scheduling	Evaluating energy-aware scheduling algorithms for I/O-intensive scientific workflows
Workflow simulation	Evaluating energy-aware scheduling algorithms for I/O-intensive scientific workflows
Workflows	VVUQ of large-scale applications with QCG-PilotJob
WRF	Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods
WRF-BEP/BEM	Evaluating WRF-BEP/BEM performance: on the way to analyze urban air quality at high resolution using WRF-Chem+BEP/BEM
WRF-Chem	Evaluating WRF-BEP/BEM performance: on the way to analyze urban air quality at high resolution using WRF-Chem+BEP/BEM
X
xAI	Comparison of Efficiency, Stability and Interpretability of Feature Selection Methods for Multiclassification Task on Medical Tabular Data Automated Method for Evaluating Neural Network's Attention Focus The Methods and Approaches of Explainable Artificial Intelligence
XY-model	Monte-Carlo Approach to the Computational Capacities Analysis of the Computing Continuum
Y
yolo	Football Players Movement Analysis in Panning Videos
Z
Zipf Law	A Model for Predicting n-gram Frequency Distribution in Large Corpora