ICCS 2023: 23RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE

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

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3-SAT	Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization
3D localization	3D tracking of multiple drones based on Particle Swarm Optimization
3D tracking	3D tracking of multiple drones based on Particle Swarm Optimization
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abdominal aortic aneurysm	Sensitivity Analysis of Blood Flow in Abdominal Aortic Aneurysms by Lattice Boltzmann Method
ABM	Building Agent-Based Models for policy support based on Qualitative Inquiry. The case of Disaster Information Management in Jakarta, Indonesia
accelerator	Simulation of quantum computers on tensor streaming processors
activation functions	Influence of activation functions on the convergence of Physics-Informed Neural Networks for 1D wave equation
actor-based concurrency	Actor-based Scalable Simulation of N-body Problem\
adaptive	Adaptive physics-informed Spectral Learning to simulate discrete Hodge–Helmholtz decomposition
Adaptive learning	Fixed-Budget Online Adaptive Learning for Physics-Informed Neural Networks. Towards Parameterized Problem Inference.
Adaptive Mesh Refinement	DNS of thermocapillary migration of a bi-dispersed suspension of droplets
additive Schwarz solvers	Accelerating Multivariate Functional Approximation Computation with Domain Decomposition Techniques
Adjoints	Parallel Adjoint Taping using MPI
Adsorption	Adsorption Characteristics and Thermal Stability of Hy-drogen Termination on Diamond Surface：A first-principles study
advection dominated diffusion	Fast solver for advection dominated diffusion using residual minimization and neural networks
Advection-Diffusion model	The first scientiffic evidence for the hail cannon
adversarial attack	Combining Outlierness Scores and Feature Extraction Techniques for Improvement of OoD and Adversarial Attacks Detection in DNNs
Adversarial Learning	Breaking the Anti-Malware: EvoAAttack based on Genetic Algorithm against Android Malware Detection Systems
adverse event	Hierarchical Classification of Adverse Events Based on Consumer’s Comments
Aeroacoustics	Numerical simulation of supersonic jet noise using open source software
Aerobatic maneuvers	Performing Aerobatic Maneuver with Imitation Learning
Aerodynamic shape optimization	Constrained aerodynamic shape optimization using neural networks and sequential sampling
Affective Computing	Multimodal Emotion Classification Supported in the Aggregation of Pre-Trained classification models
agent-based computing and simulation	Actor-based Scalable Simulation of N-body Problem\
agent-based model	Coupling between a finite element model of coronary artery mechanics and a microscale agent-based model of smooth muscle cells through trilinear interpolation A novel high-throughput framework to quantify spatio- temporal tumor clonal dynamics Integrating remote sensing data in an agent-based modeling of the Tigray conflict
agent-based modeling	Predicting ABM Results with Covering Arrays and Random Forests
Agent-Based Modeling (ABM)	Multi-agent cellular automaton model for traffic flow considering the heterogeneity of human delay and accelerations
Agent-based modeling and simulation	Towards an Earned Value Management Didactic Simulation Tool to Engineering Management Teaching
agent-based modelling	Modeling mechanisms of school segregation and policy interventions: a complexity perspective Longitudinal Analysis of the Topology of Criminal Networks using a Simple Cost-Benefit Agent-Based Model Towards a simplified solution of COVID spread in buildings for use in coupled models. Developing an Agent-Based Simulation Model to Forecast Flood-Induced Evacuation and Internally Displaced Persons Global Sensitivity Analysis Using Polynomial Chaos Expansion on the Grassmann Manifold
Agile Development	Towards an Earned Value Management Didactic Simulation Tool to Engineering Management Teaching
AI applications	Efficiency Analysis for IA applications in HPC systems. Case study: k-means
Air Quality	Downscaling WRF-Chem: Analyzing urban air quality in Barcelona city
AIS data analysis	Decision Tree-Based Algorithms for Detection of Damage in AIS Data
Akaike information criterion	Does complex mean accurate: comparing COVID-19 propagation models with different structural complexity
algorithmic composition	An application of evolutionary algorithms and machine learning in four-part harmonization
Algorithmic Differentiation	Parallel Adjoint Taping using MPI
algorithms	An Overview of High Performance Computing and Future Requirements
Allostatic Load	Modelling the interplay between Chronic Stress and Type 2 Diabetes on-set
AMRex	Numerical simulation of supersonic jet noise using open source software Numerical simulation of propeller hydrodynamics using the open source software
analysis	Global optimisation for improved volume tracking of time-varying meshes
Android Malware	RL-MAGE: Strengthening Malware Detectors against Smart Adversaries Breaking the Anti-Malware: EvoAAttack based on Genetic Algorithm against Android Malware Detection Systems
Angiogram analysis	Radius Estimation in Angiograms using Multiscale Vesselness Function
animation	Global optimisation for improved volume tracking of time-varying meshes
anomaly detection	Machine learning detects anomalies in OPS-SAT telemetry Timeseries Anomaly Detection Using SAX and Matrix Profiles Based Longest Common Subsequence Anomaly detection of motion capture data based on the autoencoder approach Towards Online Anomaly Detection in Steel Manufacturing Process
Antenna design	Expedited Metaheuristic-Based Antenna Optimization Using EM Model Resolution Management Low-Cost Behavioral Modeling of Antennas by Dimensionality Reduction and Domain Confinement
antirival goods	Elements of Antirival Accounting with Shareable Non-Fungible Tokens
Anxiety Detection	Sentiment Analysis Using Machine Learning Approach Based on Feature Extraction for Anxiety Detection
Application in medicine	Numerical method for 3D quantification of glenoid bone loss
approximation error	On the Resolution of Approximation Errors on an Ensemble of Numerical Solutions
Arbogast-Correa spaces	Two-field finite element solvers for linear and nonlinear poroelasticity problems
ARMAX	Smart Control System for Sustainable Swimming Pools
arterial tissue	Coupling between a finite element model of coronary artery mechanics and a microscale agent-based model of smooth muscle cells through trilinear interpolation
artificial immune systems	Artificial Immune Systems Approach for Surface Reconstruction of Shapes with Large Smooth Bumps
Artificial Intelli-gence	Handwriting Analysis AI-based System for Assisting People with Dysgraphia
artificial intelligence	Enhanced Emotion and Sentiment Recognition for Empathetic Dialogue System Using Big Data and Deep Learning Methods ML-based proactive control of industrial processes Chemical Mixing Simulations with Integrated AI Accelerator Artificial Immune Systems Approach for Surface Reconstruction of Shapes with Large Smooth Bumps Feature importances as a tool for root cause analysis in time-series events Resource consumption of Federated Learning approach applied on edge IoT devices in the AGV environment
asynchronous	Optimization of asynchronous logging kernels for a GPU accelerated CFD solver
asynchronous time stepping	A space-time multiscale mortar mixed finite element method for flow in porous media
Atmospheric Physics	Automated identification and location of three dimensional atmospheric frontal systems
Atomic Potentials	Graph neural network potentials for molecular dynamics simulations of water cluster anions
Audio Features	Tempo and Time Signature Detection of a Musical Piece
Augmented Reality	SLAM methods for Augmented Reality systems for flight simulators
Authorship attribution	Attribute Relevance and Discretisation in Knowledge Discovery: A Study in Stylometric Domain
autoencoder	Feature Extraction for Bankruptcy Prediction Using Autoencoder Anomaly detection of motion capture data based on the autoencoder approach
Autoencoder design	Learning shape-preserving autoencoder for the reconstruction of functional data from noisy observations
Automated Labeling	Ensemble Based Learning for Automated Safety Labeling of Prescribed Fires
Automatic annotation	CLARIN-Emo: Training Emotion Recognition Models using Human Annotation and ChatGPT
automatic differentiation	Parallel Adjoint Taping using MPI Transparent Checkpointing for Automatic Differentiation of Program Loops through Expression Transformations
Autopilot	Performing Aerobatic Maneuver with Imitation Learning
autotuning	Improving the Performance of Task-based Linear Algebra Software with Autotuning Techniques on Heterogeneous Architectures
Availability	Allocation of Distributed Resources with Group Dependencies and Availability Uncertainties
Aviation	Performing Aerobatic Maneuver with Imitation Learning
Axon	Toward the Human Nanoscale Connectome: Neuronal Morphology Format, Modeling, and Storage Requirement Estimation
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B-spline representations	Accelerating Multivariate Functional Approximation Computation with Domain Decomposition Techniques
Backpropagation Neuronal Network Simulation	SPMD-based Neural Network Simulation with Golang
Balanced hypergraph partitioning	Solving Higher Order Binary Optimization Problems on NISQ Devices: Experiments and Limitations
Bankruptcy	Feature Extraction for Bankruptcy Prediction Using Autoencoder
Baseline models	Strengthening structural baselines for graph classification using Local Topological Profile
Battery degradation	SocHAP: a new data driven explainable prediction of battery state of charge
Battery state estimation	Battery voltage response prediction with physics-informed machine learning
Bayesian False Omission Rate	Outlier detection under False Omission Rate control
Bayesian inference	Estimating Parameters of 3D Cell Model using a Bayesian Recursive Global Optimizer (BaRGO) A Bayesian Optimization through Sequential Monte Carlo and Statistical Physics-Inspired Techniques
Bayesian network	Analyzing the Attitudes of Consumers to Electric Vehicles Using Bayesian Networks
Bayesian networks	Bayesian Networks for Named Entity Prediction in Programming Community Question Answering
Bayesian optimization	Bayesian optimization of the layout of wind farms with a high-fidelity surrogate model
BDDC	Adaptive-Multilevel BDDC: A Scalable Domain Decomposition Method for Problems in Computational Mechanics
Behavioral Cloning	Performing Aerobatic Maneuver with Imitation Learning
behavioral modeling	Low-Cost Behavioral Modeling of Antennas by Dimensionality Reduction and Domain Confinement
Benchmark protocol	TAQOS: A Benchmark Protocol for Quantum Optimization Systems
BEP-BEM	Downscaling WRF-Chem: Analyzing urban air quality in Barcelona city
Bernstein-Durrmeyer polynomials	Learning shape-preserving autoencoder for the reconstruction of functional data from noisy observations
BERT	RuMedSpellchecker: correcting spelling errors for natural Russian language in electronic health records using machine learning techniques
Beryllium-related co-doping	First-Principles Calculation to N-type Beryllium related Co-doping and Beryllium Doping in Diamond
Bezier surfaces	PIES in multi-region elastic problems including body forces
Bibliometric analysis	Use of Decentralized-Learning Methods Applied to Healthcare: A Bibliometric Analysis
Big data	Enhanced Emotion and Sentiment Recognition for Empathetic Dialogue System Using Big Data and Deep Learning Methods Memory-efficient all-pair suffix-prefix overlaps on GPU Toward the Human Nanoscale Connectome: Neuronal Morphology Format, Modeling, and Storage Requirement Estimation
Big scholarly datasets	Linking scholarly datasets — the EOSC perspective
Bilayer Relative Difference	ATS: A Fully Automatic Troubleshooting System with Efficient Anomaly Detection and Localization
binary classification	On the Impact of Noisy Labels on Supervised Classification Models
Bio-inspired computing	Performance of selected Nature-Inspired Metaheuristic Algorithms used for Extreme Learning Machine
bio-microfluidics	Towards unresolved RBC – a deformable particle model for the unresolved CFD-DEM simulation of blood flow
Biofuel feedstock	Global network of biofuel feedstock commodity futures
Bioheat	Influence of the capillaries bed in hyperthermia for cancer treatment
Biomarkers	Machine Learning for Risk Stratification of Diabetic Foot Ulcers using Biomarkers
Biomedical literature	A Federated Search Workflow Engine for Text Analytics Using Large-Scale BioMedical Literature
Bioprinting	Predicting cell stress and deformation during bioprinting
bivariate distributions	Artificial Immune Systems Approach for Surface Reconstruction of Shapes with Large Smooth Bumps
Black-Box	Black Box Optimization Using QUBO and the Cross Entropy Method
blockchain	Improving the Resiliency of Decentralized Crowdsourced Blockchain Oracles Elements of Antirival Accounting with Shareable Non-Fungible Tokens
blood flow simulation	Towards unresolved RBC – a deformable particle model for the unresolved CFD-DEM simulation of blood flow
Blood-vessels lumen modeling	CNN-based Quantifcation of Blood Vessels Lumen in 3D Images
Body forces	PIES in multi-region elastic problems including body forces
boundary conditions	Influence of activation functions on the convergence of Physics-Informed Neural Networks for 1D wave equation
boundary problems	Fuzzy solutions of boundary problems using interval parametric integral equations system
Branch and Bounds	Allocation of Distributed Resources with Group Dependencies and Availability Uncertainties
Breast Cancer	Estimation of the Impact of COVID-19 Pandemic Lockdowns on Breast Cancer Deaths and Costs in Poland using Markovian Monte Carlo Simulation
Breathing Modelling	Towards a simplified solution of COVID spread in buildings for use in coupled models.
Brownian motion	Characterization of pedestrian contact interaction trajectories
bucketing sort	A New Algorithm for the Closest Pair of Points for Very Large Data Sets using Exponent Bucketing and Windowing
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calibration	Predicting ABM Results with Covering Arrays and Random Forests
Cancer	Influence of the capillaries bed in hyperthermia for cancer treatment
CAREN Extended	Anomaly detection of motion capture data based on the autoencoder approach
CAS	Symbolic calculation behind floating-point arithmetic: didactic examples and experiment using CAS
CBIR of solar images	Sun Magnetograms Retrieval From Vast Collections Through Small Hash Codes
Cell mechanics	Predicting cell stress and deformation during bioprinting
Cell model	Estimating Parameters of 3D Cell Model using a Bayesian Recursive Global Optimizer (BaRGO)
cell tracking	A novel high-throughput framework to quantify spatio- temporal tumor clonal dynamics
Cellular Automata (CA)	Multi-agent cellular automaton model for traffic flow considering the heterogeneity of human delay and accelerations
Cellular blood flow	Simulating initial steps of platelet aggregate formation in a cellular blood flow environment
Centered kernel alignment	A Contrastive Self-Distillation BERT with Kernel Alignment-Based Inference
Centerline-radius paradigm	CNN-based Quantifcation of Blood Vessels Lumen in 3D Images
Cerebral arterial models	Cerebral vessel segmentation in CE-MR images using deep learning and synthetic training datasets
CFD	Turning Flight Simulation with Fluid-rigid Body Interaction for Flying Car with Contra-rotating Propellers Numerical simulation of the octorotor flying car in sudden rotor stop Chemical Mixing Simulations with Integrated AI Accelerator Optimization of asynchronous logging kernels for a GPU accelerated CFD solver
Champion recommendation	Champion Recommendation in League of Legends Using Machine Learning
Chaos	Data-driven stability analysis of a chaotic time-delayed system Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos
Chaotic System	Convolutional autoencoder for the spatiotemporal latent representation of turbulence
Chaotic Systems	Clustering-based Identification of Precursors of Extreme Events in Chaotic Systems
Charging Station Placement	OptICS-EV: A Data-Driven Model for Optimal Installation of Charging Stations for Electric Vehicles
ChatGPT	CLARIN-Emo: Training Emotion Recognition Models using Human Annotation and ChatGPT
checkpointing	Transparent Checkpointing for Automatic Differentiation of Program Loops through Expression Transformations
chemical mixing	Chemical Mixing Simulations with Integrated AI Accelerator
chlorophyll content	Estimating Chlorophyll Content from Hyperspectral Data Using Gradient Features
Chronic stress	Modelling the interplay between Chronic Stress and Type 2 Diabetes on-set
classification	Hierarchical Classification of Adverse Events Based on Consumer’s Comments Classification of Hybrid Quantum-Classical Computing Hierarchical relative expression analysis in multi-omics data classification
Climate Change	Automated identification and location of three dimensional atmospheric frontal systems The process of polarisation as a loss of dimensionality.
Climate Change Adaptation	Manifold Analysis for High-Dimensional Socio-Environmental Surveys
Clinical Data	A web portal for real-time data quality analysis on the Brazilian Tuberculosis Research Network: A Case Study
Closest pair of points	A New Algorithm for the Closest Pair of Points for Very Large Data Sets using Exponent Bucketing and Windowing
Closure models	Non-local Neural closure models of partial differential equations
Cloud computing	Long-term prediction of cloud resource usage in high-performance computing
Cloud formation	The first scientiffic evidence for the hail cannon
Cloud Native	Cloud Native approach to the implementation of an environmental monitoring system for Smart City based on IoT devices
cloud resource management	Towards understanding of Deep Reinforcement Learning Agents used in Cloud Resource Management
Clustering	Clustering-based Identification of Precursors of Extreme Events in Chaotic Systems
Clustering Algorithms	Classification performance of Extreme Learning Machine Radial Basis Function with k-means, k-medoids and mean shift clustering algorithms
CNN	Combining Outlierness Scores and Feature Extraction Techniques for Improvement of OoD and Adversarial Attacks Detection in DNNs CNN-based Quantifcation of Blood Vessels Lumen in 3D Images
Coalition Formation	GCS-Q: Quantum Graph Coalition Structure Generation
coalitions	Rules' Quality Generated by the Classification Method for Independent Data Sources Using Pawlak Conflict Analysis Model
coarctation of the aorta	Hemodynamics of the coarctation of the aorta: a Lattice Boltzmann Study
Code Semantics	Code Semantics Learning with Deep Neural Networks: an AI-based Approach for Programming Education
Cognition	Multi-Granular Computing Can Predict Prodromal Alzheimer’s Disease Indications in Normal Subjects
cold rolling	Towards Online Anomaly Detection in Steel Manufacturing Process
collaborative education	Analysis of outcomes from the gamification of a collaboration intensive course on computer networking basics
Collaborative Modelling	Ontological Modelling and Social Network: from expert validation to consolidated domains
collective action	Elements of Antirival Accounting with Shareable Non-Fungible Tokens
Collective behavior	CA-based Collective Behavior Approach to Solve Coverage and Lifetime Optimization Problems in Wireless Sensor Networks
Collective Response	Leveraging Social Contagion to Foster Consensus in Collective Decision-Making
Collision avoidance	Feasibility and performance benefits of directional force fields for the tactical conflict management of UAVs
Collocation	Spatially-varying meshless approximation method for enhanced computational efficiency
Colored Petri Nets	ITS4Tsunamis: An Intelligent Transportation System for Tsunamis Combining CEP, CPN and Fuzzy Logic
Combinatorial optimization	A Case Study of the Profit-Maximizing Multi-Vehicle Pickup and Delivery Selection Problem for the Road Networks with the Integratable Nodes
Community detection	Comparative analysis of community detection and transformer-based approaches for topic clustering of scientific papers Deep Learning Attention Model For Supervised and Unsupervised Network Community Detection Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar
compartmental models	Does complex mean accurate: comparing COVID-19 propagation models with different structural complexity
compilation	Simulation of quantum computers on tensor streaming processors
compiling	Double-bracket flow quantum algorithm for diagonalization
Complex Colocation	Online Runtime Environment Prediction for Complex Colocation Interference in Distributed Stream Processing
Complex Event Processing	ITS4Tsunamis: An Intelligent Transportation System for Tsunamis Combining CEP, CPN and Fuzzy Logic
Complex networks	Data Integration Landscapes: The Case for Non-Optimal Solutions in Network Diffusion Models Towards a Better Understanding of Multilateral Consensus Making: Analyzing the Complex Network of UN Security Council and WHO Resolutions Deep Learning Attention Model For Supervised and Unsupervised Network Community Detection
Complex problems	Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules
Complex Systems	Modeling mechanisms of school segregation and policy interventions: a complexity perspective On filtering the noise in consensual communities
complexity	Multifractal organization of EEG signals in Multiple Sclerosis The complexities of policy, data and computational methods: Charting a new, case-based, social science grounded, AM-Smart methods approach
Component-wise framework	Component-wise and unconditionally energy-stable VT flash calculation
Compressible flow	Numerical simulation of supersonic jet noise using open source software Constraint energy minimizing generalized multiscale finite element method for highly heterogeneous compressible flow
Computational Biology	Sensitivity Analysis of a Two-compartmental Differential Equation Mathematical Model of Multiple Sclerosis using Parallel Programming
computational brain models	Strokes and the brain's criticality viewed through the lens of network models
Computational Electromagnetics	Fast Electromagnetic Field Pattern Calculations with Fourier Neural Operator Networks
Computational Electrophysiology	Replacing the FitzHugh-Nagumo electrophysiology model by physics-informed neural networks
Computational fluid dynamics	Numerical simulation of virus-laden droplets transport from lung to lung by using eighth generation airway model
computational geometry	A New Algorithm for the Closest Pair of Points for Very Large Data Sets using Exponent Bucketing and Windowing Numerical method for 3D quantification of glenoid bone loss
Computational Method	Introducing a computational method to retrofit ‎damaged buildings under seismic mainshock-aftershock ‎sequence
computational modelling	Modelling the interplay between Chronic Stress and Type 2 Diabetes on-set The complexities of policy, data and computational methods: Charting a new, case-based, social science grounded, AM-Smart methods approach
Computational Optimization	Performance of selected Nature-Inspired Metaheuristic Algorithms used for Extreme Learning Machine Distributionally-Robust Optimization for Sustainable Exploitation of the Infinite-dimensional Superposition of Affine Processes with an Application to Fish Migration
Computational Physics	Taking a Shortcut Through Phase Space: Neural Networks Solving Differential Equations
computational policy	Modeling mechanisms of school segregation and policy interventions: a complexity perspective
computational social science	The process of polarisation as a loss of dimensionality.
computer network	Application of genetic algorithm to load balancing in networks with a homogeneous traffic flow
computer networking	Analysis of outcomes from the gamification of a collaboration intensive course on computer networking basics
Computer programming	Empirical studies of students behaviour using Scottie-Go block tools to develop problem-solving experience
computer vision	Universal machine-learning processing pattern for computing in the video-oculography.
Concurrency	Parallel algorithm for concurrent integration of three-dimensional B-spline functions
conflict-driven migration	Building Robust Simulation-based Forecasts During Emergencies
conformism	The role of conformity in opinion dynamics modelling with multiple social circles
Connectome	Toward the Human Nanoscale Connectome: Neuronal Morphology Format, Modeling, and Storage Requirement Estimation
Consensual Community Detection	On filtering the noise in consensual communities
Consensus	Leveraging Social Contagion to Foster Consensus in Collective Decision-Making
Constituency parsing	Constituency Parsing with Spines and Attachments
constrained discrete optimization	An application of evolutionary algorithms and machine learning in four-part harmonization
Constrained Optimization	Software aided approach for constrained optimization based on QAOA modifications
Constrained Optimization Problems	Learning QUBO Models for Quantum Annealing: A Constraint-based Approach
Constraint Satisfaction Problems	Learning QUBO Models for Quantum Annealing: A Constraint-based Approach
consumers	Analyzing the Attitudes of Consumers to Electric Vehicles Using Bayesian Networks
Contact duration	Characterization of pedestrian contact interaction trajectories
Contact interaction	Characterization of pedestrian contact interaction trajectories
Context prediction	Bayesian Networks for Named Entity Prediction in Programming Community Question Answering
Contrast-Enhanced MR angiography	Cerebral vessel segmentation in CE-MR images using deep learning and synthetic training datasets
Contrastive learning	A Contrastive Self-Distillation BERT with Kernel Alignment-Based Inference Self-supervised Deep Heterogeneous Graph Neural Networks with Contrastive Learning
Control volume method	Mathematical Modeling and Numerical Simulations for Drug Release from PLGA Nanoparticles
Controlling sparsity level	r-softmax: Generalized Softmax with Controllable Sparsity Rate
convection-dominated problem	Numerical Solution on Nonaffine Grids by Least-Squares FEM for Convection-Dominated Problems
conversational recommender systems	A Method of Social Context Enhanced User Preferences for Conversational Recommender Systems
ConvNext	DeBERTNeXT: A Multimodal Fake News Detection framework
Convolutional Autoencoder	Convolutional autoencoder for the spatiotemporal latent representation of turbulence
Convolutional layers	Graph neural network potentials for molecular dynamics simulations of water cluster anions
Convolutional Neural Networks	Phase Correction and Noise-to-Noise Denoising of Diffusion Magnetic Resonance Images using Neural Networks Forest Image Classification based on Deep learning and XGBoost algorithm
Corpus augmentation	Enhanced Emotion and Sentiment Recognition for Empathetic Dialogue System Using Big Data and Deep Learning Methods
corpus building	Korpusomat.eu: A Multilingual Platform for Effortless Building and Analysing Linguistic Corpora
corpus linguistics	Korpusomat.eu: A Multilingual Platform for Effortless Building and Analysing Linguistic Corpora
Costs	Estimation of the Impact of COVID-19 Pandemic Lockdowns on Breast Cancer Deaths and Costs in Poland using Markovian Monte Carlo Simulation
count	Parallel Triangles and Squares Count for Multigraphs using Vertex Covers
counterfactual explanation	Exploring Counterfactual Explanations for Predicting Student Success
coupled analysis framework	Implementation of Coupled Numerical Analysis of Magnetospheric Dynamics and Spacecraft Charging Phenomena via Code-To-Code Adapter (CoToCoA) Framework
coupled computation	Numerical simulation of the octorotor flying car in sudden rotor stop
Coupled Simulation	Turning Flight Simulation with Fluid-rigid Body Interaction for Flying Car with Contra-rotating Propellers
Covid Lockdowns	Estimation of the Impact of COVID-19 Pandemic Lockdowns on Breast Cancer Deaths and Costs in Poland using Markovian Monte Carlo Simulation
COVID-19	Building Robust Simulation-based Forecasts During Emergencies Does complex mean accurate: comparing COVID-19 propagation models with different structural complexity
Covid-19 Transmission	Towards a simplified solution of COVID spread in buildings for use in coupled models.
criminal networks	Longitudinal Analysis of the Topology of Criminal Networks using a Simple Cost-Benefit Agent-Based Model
critical path	A Hypergraph Model and Associated Optimization Strategies for Path Length-Driven Netlist Partitioning
criticality	Strokes and the brain's criticality viewed through the lens of network models
cryptanalysis	Searching $B$-smooth numbers using quantum annealing: applications to factorization and discrete logarithm problem
Cryptocurrency price forecasting	Forecasting Cryptocurrency Prices using Contextual ES-adRNN with Exogenous Variables
Curve Modelling	Optimal Knots Selection in Fitting Degenerate Reduced Data
Cutting planes	Semi-supervised Learning Approach to Efficient Cut Selection in the Branch-and-Cut Framework
cyber-physical system	Cyber-physical system supporting the production technology of steel mill products based on ladle furnace tracking and sensor networks
Cyberloafing	Excessive Internet Use in the Organizational Context: A Proposition of the New Instrument to Measure Cyberloafing at Work
D
D-Wave	Searching $B$-smooth numbers using quantum annealing: applications to factorization and discrete logarithm problem
Damage detection	Comparative study of meta-heuristic algorithms for damage detection problem
Damaged data detection	Decision Tree-Based Algorithms for Detection of Damage in AIS Data
Damaged-Building	Introducing a computational method to retrofit ‎damaged buildings under seismic mainshock-aftershock ‎sequence
Data Analytics	Convolutional Recurrent Autoencoder for Molecular-Continuum Coupling
data assimilation	Using machine learning, data assimilation and their combination to improve a new generation of Arctic sea-ice models Learning 4DVAR inversion directly from observations A kernel extension of the Ensemble Transform Kalman Filter
data cartography	Differential Dataset Cartography: Explainable Artificial Intelligence in Comparative Personalized Sentiment Analysis
data debugging	On Irregularity Localization for Scientific Data Analysis Workflows
Data driven	Reduction of the computational cost of tuning methodology of a simulator of a physical system.
data embedding	What will happen when we radically simplify t-SNE an UMAP visualization algorithms. Is it worth to do that?
data fitting	Optimal Knots Selection in Fitting Degenerate Reduced Data Artificial Immune Systems Approach for Surface Reconstruction of Shapes with Large Smooth Bumps
Data heterogeneity	Data Heterogeneity Differential Privacy: From Theory to Algorithm
Data integration	Data Integration Landscapes: The Case for Non-Optimal Solutions in Network Diffusion Models
data partitioning	Dynamic Data Replication for Short Time-to-Completion in a Data Grid
data placement	Dynamic Data Replication for Short Time-to-Completion in a Data Grid
Data Processing	A web portal for real-time data quality analysis on the Brazilian Tuberculosis Research Network: A Case Study
data reduction	On Irregularity Localization for Scientific Data Analysis Workflows
data replication	Dynamic Data Replication for Short Time-to-Completion in a Data Grid
Data Science	Human-Sensors & Physics awared Machine Learning for Wildfire Detection and Nowcasting
data streams	Towards Online Anomaly Detection in Steel Manufacturing Process
data structure	A New Algorithm for the Closest Pair of Points for Very Large Data Sets using Exponent Bucketing and Windowing
Data Summarization	An Approach for Probabilistic Modeling and Reasoning of Political Networks
data uncertainty	Accounting for data uncertainty in modeling acute respiratory infections: influenza in St. Petersburg as a case study
data windowing	A New Algorithm for the Closest Pair of Points for Very Large Data Sets using Exponent Bucketing and Windowing
data-driven predictor	Development of 3D viscoelastic crustal deformation analysis solver with data-driven method on GPU
data-flow	Simulation of quantum computers on tensor streaming processors
data-intensive computing	Dynamic Data Replication for Short Time-to-Completion in a Data Grid
Dataset balancing	Balancing agents for mining imbalanced multiclass datasets - performance evaluation
De-Identification	Named Entity Recognition for De-identifying Real-World Health Records in Spanish
DeBERTa	DeBERTNeXT: A Multimodal Fake News Detection framework
Decentralized oracle	Improving the Resiliency of Decentralized Crowdsourced Blockchain Oracles
Decentralized-learning	Use of Decentralized-Learning Methods Applied to Healthcare: A Bibliometric Analysis
Decision Tree-based algorithms	Decision Tree-Based Algorithms for Detection of Damage in AIS Data
decision trees	Rules' Quality Generated by the Classification Method for Independent Data Sources Using Pawlak Conflict Analysis Model Hierarchical relative expression analysis in multi-omics data classification
Deep Convolutional Neural Networks	A Novel DAAM-DCNNs Hybrid Approach to Facial Expression Recognition to Enhance Learning Experience
Deep Learning	RL-MAGE: Strengthening Malware Detectors against Smart Adversaries SLAM methods for Augmented Reality systems for flight simulators Automated identification and location of three dimensional atmospheric frontal systems Deep Learning Inversion of Geophysical Data Generated with Parametric PDEs Deep Fourier Residual method for PDEs with H1 and H(curl) test function spaces Combining Deep Learning and Computational Mechanics in structural damage assessment under environmental and operational variability Intracellular Material Transport Simulation in Neurons Using Isogeometric Analysis and Deep Learning Universal machine-learning processing pattern for computing in the video-oculography. A Novel DAAM-DCNNs Hybrid Approach to Facial Expression Recognition to Enhance Learning Experience Detection of objects dangerous for the operation of mining machines An efficient ViT-based spatial interpolation learner for field reconstruction SocHAP: a new data driven explainable prediction of battery state of charge Code Semantics Learning with Deep Neural Networks: an AI-based Approach for Programming Education
Deep Least-Squares method	Goal-oriented Deep Ritz and Least-Squares methods A Deep r- Adaptive First Order Least Squares method for solving elliptic PDEs
Deep Models	Multi-objective Quantum-inspired Genetic Algorithm for Supervised Learning of Deep Classification Models
deep neural network	Influence of activation functions on the convergence of Physics-Informed Neural Networks for 1D wave equation
Deep Neural Networks	Deep Learning Operator Network for Geometric Nonlinear Deformation with PyFEM Deep Learning Inversion of Geophysical Data Generated with Parametric PDEs Towards understanding of Deep Reinforcement Learning Agents used in Cloud Resource Management
Deep Operator Networks	Deep Learning Operator Network for Geometric Nonlinear Deformation with PyFEM
deep reinforcement learning	Towards understanding of Deep Reinforcement Learning Agents used in Cloud Resource Management
Deep Ritz method	Goal-oriented Deep Ritz and Least-Squares methods
deformable particle	Towards unresolved RBC – a deformable particle model for the unresolved CFD-DEM simulation of blood flow
Delaunay Triangulation	Wildfire Perimeter Detection via Iterative Trimming Method
Delta-Adjustment	Automatic Delta-Adjustment Method applied to Missing Not At Random Imputation
Dendrite	Toward the Human Nanoscale Connectome: Neuronal Morphology Format, Modeling, and Storage Requirement Estimation
denoising	Phase Correction and Noise-to-Noise Denoising of Diffusion Magnetic Resonance Images using Neural Networks Convolutional Recurrent Autoencoder for Molecular-Continuum Coupling
density functional theory	Scale-bridging workflows in materials science using FireWorks
Depth Active Appearance Model	A Novel DAAM-DCNNs Hybrid Approach to Facial Expression Recognition to Enhance Learning Experience
Design Patterns	Quantum Factory Method: A Software Engineering Approach to Deal with Incompatibilities in Quantum Libraries
Design through analysis	Computational Steering: Interactive Design-through-Analysis for Simulation Sciences
Deswelling	Deswelling Dynamics of Chemically-Active Polyelectrolyte Gels
Diabetes	Modelling the interplay between Chronic Stress and Type 2 Diabetes on-set
Diabetic Foot Ulceration	Machine Learning for Risk Stratification of Diabetic Foot Ulcers using Biomarkers
diagonalization	Double-bracket flow quantum algorithm for diagonalization
Diamond	First-Principles Calculation to N-type Beryllium related Co-doping and Beryllium Doping in Diamond
differentiable framework	Learning Neural Optimal Interpolation Models and Solvers
Differentiable Physics	Learning 4DVAR inversion directly from observations
differential data maps	Differential Dataset Cartography: Explainable Artificial Intelligence in Comparative Personalized Sentiment Analysis
differential equations	Non-local Neural closure models of partial differential equations
Differential privacy	Data Heterogeneity Differential Privacy: From Theory to Algorithm
Diffusion	Molecular dynamics study of hydrogen dissolution and diffusion in different nonmetallic pipe materials Mathematical Modeling and Numerical Simulations for Drug Release from PLGA Nanoparticles
diffusion dynamics	A novel high-throughput framework to quantify spatio- temporal tumor clonal dynamics
diffusion magnetic resonance imaging	Phase Correction and Noise-to-Noise Denoising of Diffusion Magnetic Resonance Images using Neural Networks
Diffusion Maps	Manifold Analysis for High-Dimensional Socio-Environmental Surveys
digital duplicates	Structural Validation Of Synthetic Power Distribution Networks Using The Multiscale Flat Norm
digital image processing	Detection of objects dangerous for the operation of mining machines
Digital platforms	Alternative platforms and privacy paradox: A system dynamics analysis
Digital twin	Digital twin simulation development and execution on HPC infrastructures Simulation-Based Optimisation Model as an Element of a Digital Twin Concept for Supply Chain Inventory Control
dimensionality reduction	What will happen when we radically simplify t-SNE an UMAP visualization algorithms. Is it worth to do that? Low-Cost Behavioral Modeling of Antennas by Dimensionality Reduction and Domain Confinement
Dipole Antenna Array	Fast Electromagnetic Field Pattern Calculations with Fourier Neural Operator Networks
Directed interval arithmetic	Solving uncertainly defined curvilinear potential 2D BVPs by the IFPIES
disaster information management	Building Agent-Based Models for policy support based on Qualitative Inquiry. The case of Disaster Information Management in Jakarta, Indonesia
discontinuous Galerkin methods	Using machine learning, data assimilation and their combination to improve a new generation of Arctic sea-ice models
discourse studies	Korpusomat.eu: A Multilingual Platform for Effortless Building and Analysing Linguistic Corpora
Discourse Toxicity	Toxicity in Evolving Twitter Topics
discrete logarithm problem	Searching $B$-smooth numbers using quantum annealing: applications to factorization and discrete logarithm problem
Discrete Simulation	Simulation-Based Optimisation Model as an Element of a Digital Twin Concept for Supply Chain Inventory Control
Discretisation	Attribute Relevance and Discretisation in Knowledge Discovery: A Study in Stylometric Domain
Disease progress	Modelling the interplay between Chronic Stress and Type 2 Diabetes on-set
Dispersed Data	Radial Basis Function Neural Network with a Centers Training Stage for Prediction Based on Dispersed Image Data Rules' Quality Generated by the Classification Method for Independent Data Sources Using Pawlak Conflict Analysis Model
Dispersion model	How to select superior Neural Network simulating inner city contaminant transport? Verification and validation techniques.
Dissolution	Molecular dynamics study of hydrogen dissolution and diffusion in different nonmetallic pipe materials
Distance Similarity Search	Optimization and Comparison of Coordinate- and Metric-Based Indexes on GPUs for Distance Similarity Searches
Distributed Computing	Allocation of Distributed Resources with Group Dependencies and Availability Uncertainties
Distributed Stream Processing	Online Runtime Environment Prediction for Complex Colocation Interference in Distributed Stream Processing
DLT	Elements of Antirival Accounting with Shareable Non-Fungible Tokens
DNN	Chemical Mixing Simulations with Integrated AI Accelerator
Document-level Relation Extraction	Similarity-based Memory Enhanced Joint Entity and Relation Extraction
domain confinement	Low-Cost Behavioral Modeling of Antennas by Dimensionality Reduction and Domain Confinement
domain decomposition	Accelerating Multivariate Functional Approximation Computation with Domain Decomposition Techniques
domain knowledge	Feature importances as a tool for root cause analysis in time-series events
domain specific languages	Compiling Tensor Expressions into Einsum
double-bracket flow	Double-bracket flow quantum algorithm for diagonalization
doubly-constrained flows prediction	Prediction of Urban Population-Facilities Interactions with Graph Neural Network
drone	3D tracking of multiple drones based on Particle Swarm Optimization
Drug release	Mathematical Modeling and Numerical Simulations for Drug Release from PLGA Nanoparticles
Dynamic Core Binding	Dynamic core binding for load balancing of applications parallelized with MPI/OpenMP
Dynamic Graphs	RAFEN - Regularized Alignment Framework for Embeddings of Nodes
Dynamic Load Balancing	Dynamic core binding for load balancing of applications parallelized with MPI/OpenMP
Dynamic modeling	Component-wise and unconditionally energy-stable VT flash calculation
Dysgraphia	Handwriting Analysis AI-based System for Assisting People with Dysgraphia
dysgraphic aid	Handwriting Analysis AI-based System for Assisting People with Dysgraphia
E
Early exit	A Contrastive Self-Distillation BERT with Kernel Alignment-Based Inference
Earned Value Management	Towards an Earned Value Management Didactic Simulation Tool to Engineering Management Teaching
Echo State Networks	Data-driven stability analysis of a chaotic time-delayed system
Edge computing	Smart Head-mount Obstacle Avoidance Wearable for the Vision Impaired
Education	Qubit: The Game. Teaching Quantum Computing through a Game-Based Approach
EEG	Resting State Brain Connectivity analysis from EEG and FNIRS signals
efficient global optimization	Efficient uncertainty quantification using sequential sampling-based neural networks
einsum	Compiling Tensor Expressions into Einsum
Elastic-plastic problem	On the weak formulations of the Multipoint meshless FDM
electric vehicle	OptICS-EV: A Data-Driven Model for Optimal Installation of Charging Stations for Electric Vehicles SocHAP: a new data driven explainable prediction of battery state of charge Analyzing the Attitudes of Consumers to Electric Vehicles Using Bayesian Networks
electroencephalography (EEG)	Multifractal organization of EEG signals in Multiple Sclerosis
Electromagnetic Field Pattern	Fast Electromagnetic Field Pattern Calculations with Fourier Neural Operator Networks
Electronic Health Records	Improving Patients' Length of Stay Prediction Using Clinical and Demographics Features Enrichment Named Entity Recognition for De-identifying Real-World Health Records in Spanish RuMedSpellchecker: correcting spelling errors for natural Russian language in electronic health records using machine learning techniques
Elliptic PDEs	A Deep r- Adaptive First Order Least Squares method for solving elliptic PDEs
EM-driven design	Expedited Metaheuristic-Based Antenna Optimization Using EM Model Resolution Management Low-Cost Behavioral Modeling of Antennas by Dimensionality Reduction and Domain Confinement
Embedding Alignment	RAFEN - Regularized Alignment Framework for Embeddings of Nodes
Emotion Recognition	CLARIN-Emo: Training Emotion Recognition Models using Human Annotation and ChatGPT TwitterEmo: Annotating Emotions and Sentiment in Polish Twitter
Emotions Classification	A Novel DAAM-DCNNs Hybrid Approach to Facial Expression Recognition to Enhance Learning Experience
Empirical studies of programming	Empirical studies of students behaviour using Scottie-Go block tools to develop problem-solving experience
Empirical studies of user behaviour	Empirical studies of students behaviour using Scottie-Go block tools to develop problem-solving experience
energy consumption	Detection of Anomalous Days in Energy Demand using Leading Point Multi-Regression Model
energy saving	Towards Automatic Generation of Digital Twins: Graph-based Integration of Smart City Datasets
Energy stability	Unconditionally Energy-Stable SPH Methods for Incompressible Single-Phase and Two-Phase Flows
Energy-stable scheme	Component-wise and unconditionally energy-stable VT flash calculation
Enriched Lagrangian finite elements	Two-field finite element solvers for linear and nonlinear poroelasticity problems
Ensemble Anomaly Detection	ATS: A Fully Automatic Troubleshooting System with Efficient Anomaly Detection and Localization
ensemble Kalman filter	A kernel extension of the Ensemble Transform Kalman Filter
ensemble of numerical solutions	On the Resolution of Approximation Errors on an Ensemble of Numerical Solutions
entity linking	Linking scholarly datasets — the EOSC perspective
Entity resolution	Data Integration Landscapes: The Case for Non-Optimal Solutions in Network Diffusion Models
Environmental monitoring	Cloud Native approach to the implementation of an environmental monitoring system for Smart City based on IoT devices
EOSC	Linking scholarly datasets — the EOSC perspective
epidemiology	Does complex mean accurate: comparing COVID-19 propagation models with different structural complexity Accounting for data uncertainty in modeling acute respiratory infections: influenza in St. Petersburg as a case study
error estimates	Numerical Solution on Nonaffine Grids by Least-Squares FEM for Convection-Dominated Problems
Euler equations	On the Resolution of Approximation Errors on an Ensemble of Numerical Solutions
European Union	The Emergence of an European Consensus: A Data-Driven Analysis of UN General Assembly Voting Patterns
Evasion Attack	RL-MAGE: Strengthening Malware Detectors against Smart Adversaries Breaking the Anti-Malware: EvoAAttack based on Genetic Algorithm against Android Malware Detection Systems
Evolution equations	Symbolic-Numeric Computation in Modeling the Dynamics of the Many-Body System TRAPPIST
evolutionary algorithms	An application of evolutionary algorithms and machine learning in four-part harmonization
exascale systems	Leading the Way in European Supercomputing. User’s Opportunities and Latest Updates from the EuroHPC Joint Undertaking
Excessive Internet Use	Excessive Internet Use in the Organizational Context: A Proposition of the New Instrument to Measure Cyberloafing at Work
Explainable AI	Feature importances as a tool for root cause analysis in time-series events SocHAP: a new data driven explainable prediction of battery state of charge
explainable artificial intelligence	Differential Dataset Cartography: Explainable Artificial Intelligence in Comparative Personalized Sentiment Analysis Towards understanding of Deep Reinforcement Learning Agents used in Cloud Resource Management
explainable reinforcement learning	Towards understanding of Deep Reinforcement Learning Agents used in Cloud Resource Management
extended cloud	Application of genetic algorithm to load balancing in networks with a homogeneous traffic flow
Extreme events	Clustering-based Identification of Precursors of Extreme Events in Chaotic Systems
Extreme Learning Machine	Performance of selected Nature-Inspired Metaheuristic Algorithms used for Extreme Learning Machine Classification performance of Extreme Learning Machine Radial Basis Function with k-means, k-medoids and mean shift clustering algorithms
eye move computations	Universal machine-learning processing pattern for computing in the video-oculography.
eye moves	Universal machine-learning processing pattern for computing in the video-oculography.
eye tracking	Universal machine-learning processing pattern for computing in the video-oculography.
F
Facial Emotions	Multimodal Emotion Classification Supported in the Aggregation of Pre-Trained classification models
Facial Expression Recognition	A Novel DAAM-DCNNs Hybrid Approach to Facial Expression Recognition to Enhance Learning Experience
Fair evaluation	Strengthening structural baselines for graph classification using Local Topological Profile
Fairness	FAIR-FATE: Fair Federated Learning with Momentum
Fake News	DeBERTNeXT: A Multimodal Fake News Detection framework
False Discovery Rate	Outlier detection under False Omission Rate control
False Omission Rate	Outlier detection under False Omission Rate control
Fast image hash	Sun Magnetograms Retrieval From Vast Collections Through Small Hash Codes
fast prototyping	A Hypergraph Model and Associated Optimization Strategies for Path Length-Driven Netlist Partitioning
feature compression	Image Recognition of Plants and Plant Diseases with Transfer Learning and Feature Compression
feature engineering	Machine learning detects anomalies in OPS-SAT telemetry Estimating Chlorophyll Content from Hyperspectral Data Using Gradient Features Quantifying Parking Difficulty with Transport and Prediction Models for Travel Mode Choice Modelling
feature extraction	Feature Extraction for Bankruptcy Prediction Using Autoencoder Image Recognition of Plants and Plant Diseases with Transfer Learning and Feature Compression Forest Image Classification based on Deep learning and XGBoost algorithm
Feature Extractions	A Novel DAAM-DCNNs Hybrid Approach to Facial Expression Recognition to Enhance Learning Experience
feature selection	Attribute Relevance and Discretisation in Knowledge Discovery: A Study in Stylometric Domain A Robust Machine Learning Protocol for Prediction of Prostate Cancer Survival at Multiple Time-Horizons
Federated Learning	B2-FedGAN: Balanced Bi-directional FefAvg based GAN FAIR-FATE: Fair Federated Learning with Momentum Use of Decentralized-Learning Methods Applied to Healthcare: A Bibliometric Analysis Resource consumption of Federated Learning approach applied on edge IoT devices in the AGV environment
Federated Search Engines	A Federated Search Workflow Engine for Text Analytics Using Large-Scale BioMedical Literature
Field force	Feasibility and performance benefits of directional force fields for the tactical conflict management of UAVs
Field Reconstruction	An efficient ViT-based spatial interpolation learner for field reconstruction
Film Boiling	Unstructured conservative level-set (UCLS) simulations of film boiling heat transfer
Financial distress	Feature Extraction for Bankruptcy Prediction Using Autoencoder
finite element method	Least-squares space-time formulation for advection-diffusion problem with efficient adaptive solver based on matrix compression
Finite Elemet Method	An Adaptive Strategy to Solve Parametric PDEs to Generate Massive Databases for Deep Learning Inversion
finite-element model	Coupling between a finite element model of coronary artery mechanics and a microscale agent-based model of smooth muscle cells through trilinear interpolation
Finite-Volume Method	Unstructured conservative level-set (UCLS) simulations of film boiling heat transfer DNS of thermocapillary migration of a bi-dispersed suspension of droplets
Firmware Generation	Semantic Hashing to Remedy Uncertainties in Ontology-Driven Edge Computing
First-principles calculation	First-Principles Calculation to N-type Beryllium related Co-doping and Beryllium Doping in Diamond Adsorption Characteristics and Thermal Stability of Hy-drogen Termination on Diamond Surface：A first-principles study
Fisher Information	Manifold Analysis for High-Dimensional Socio-Environmental Surveys
Fitbit	Identifying Users of IoT Wearables by Heart rate
FitzHugh-Nagumo model	Replacing the FitzHugh-Nagumo electrophysiology model by physics-informed neural networks
Flexibility matrix	Comparative study of meta-heuristic algorithms for damage detection problem
Flight simulators	SLAM methods for Augmented Reality systems for flight simulators
floating-point arithmetic	Symbolic calculation behind floating-point arithmetic: didactic examples and experiment using CAS
Flood	Developing an Agent-Based Simulation Model to Forecast Flood-Induced Evacuation and Internally Displaced Persons
Flow Simulation	Convolutional Recurrent Autoencoder for Molecular-Continuum Coupling
fluid flow	Adaptive physics-informed Spectral Learning to simulate discrete Hodge–Helmholtz decomposition Real-time reconstruction of complex flow in nanoporous media: linear vs non-linear decoding
Fluid-flow	Spatially-varying meshless approximation method for enhanced computational efficiency
flying car	Numerical simulation of the octorotor flying car in sudden rotor stop
flying focal spot	A new statistical approach to image reconstruction with rebinning for the x-ray CT scanners with flying focal spot tube
fNIRS	Resting State Brain Connectivity analysis from EEG and FNIRS signals
Forced Displacement Simulation	Developing an Agent-Based Simulation Model to Forecast Flood-Induced Evacuation and Internally Displaced Persons
Forest Fire Spread Simulator	Impact of Mixed-Precision: a Way to Accelerate Data-Driven Forest Fire Spread Systems
Fourier basis	Adaptive physics-informed Spectral Learning to simulate discrete Hodge–Helmholtz decomposition
Fourier Neural Operator	Fast Electromagnetic Field Pattern Calculations with Fourier Neural Operator Networks
FPGA	Minimal Path Delay Leading Zero Counters on Xilinx FPGAs Simulation of quantum computers on tensor streaming processors A Hypergraph Model and Associated Optimization Strategies for Path Length-Driven Netlist Partitioning
fraud detection	Outlier detection under False Omission Rate control
Full-Text Search	A Federated Search Workflow Engine for Text Analytics Using Large-Scale BioMedical Literature
functional approximation	Accelerating Multivariate Functional Approximation Computation with Domain Decomposition Techniques
functional connectivity	Resting State Brain Connectivity analysis from EEG and FNIRS signals
Functional data	Learning shape-preserving autoencoder for the reconstruction of functional data from noisy observations
Fused Deep Convolutional Neural Networks	Online Runtime Environment Prediction for Complex Colocation Interference in Distributed Stream Processing
fusion power-plan systems	Towards In-silico Design of Fusion Power-plant Systems
fusion reactor	Towards In-silico Design of Fusion Power-plant Systems
Fuzzy Logic	ITS4Tsunamis: An Intelligent Transportation System for Tsunamis Combining CEP, CPN and Fuzzy Logic
fuzzy solutions	Fuzzy solutions of boundary problems using interval parametric integral equations system
G
gait analysis	Anomaly detection of motion capture data based on the autoencoder approach
Game-Based Learning	Qubit: The Game. Teaching Quantum Computing through a Game-Based Approach
GAN	B2-FedGAN: Balanced Bi-directional FefAvg based GAN
gaussian boson sampling	Simulating sparse and shallow Gaussian Boson Sampling
Gaussian Process Regression	Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in High-Performance Multiscale Plasma Physics Simulations
Generalized Divergence	Distributionally-Robust Optimization for Sustainable Exploitation of the Infinite-dimensional Superposition of Affine Processes with an Application to Fish Migration
Genetic Algorithm	Breaking the Anti-Malware: EvoAAttack based on Genetic Algorithm against Android Malware Detection Systems
Genome assembly	Memory-efficient all-pair suffix-prefix overlaps on GPU
Genotype	Multi-Granular Computing Can Predict Prodromal Alzheimer’s Disease Indications in Normal Subjects
geometric nonlinearity	Deep Learning Operator Network for Geometric Nonlinear Deformation with PyFEM
GIS	Towards Automatic Generation of Digital Twins: Graph-based Integration of Smart City Datasets
Glenoid bone loss	Numerical method for 3D quantification of glenoid bone loss
Global Governance	Towards a Better Understanding of Multilateral Consensus Making: Analyzing the Complex Network of UN Security Council and WHO Resolutions
global optimization	Expedited Metaheuristic-Based Antenna Optimization Using EM Model Resolution Management
Global sensitivity analysis	Global Sensitivity Analysis Using Polynomial Chaos Expansion on the Grassmann Manifold
global surrogate modeling	Constrained aerodynamic shape optimization using neural networks and sequential sampling
Goal-Oriented Adaptivity	An Adaptive Strategy to Solve Parametric PDEs to Generate Massive Databases for Deep Learning Inversion
Goal-oriented methods	Goal-oriented Deep Ritz and Least-Squares methods
Golang Programming Language	SPMD-based Neural Network Simulation with Golang
GPGPU	Optimization and Comparison of Coordinate- and Metric-Based Indexes on GPUs for Distance Similarity Searches
GPT-Neo	Automatic structuring of topics for natural language generation in community question answering in programming domain
GPU	Memory-efficient all-pair suffix-prefix overlaps on GPU Optimization of asynchronous logging kernels for a GPU accelerated CFD solver
Gradient-free Optimization	Ensemble Based Learning for Automated Safety Labeling of Prescribed Fires
grammatical inference	Inference of over-constrained NFA of size k+1 to efficiently and systematically derive NFA of size k for grammar learning
Granular Computing	Multi-Granular Computing Can Predict Prodromal Alzheimer’s Disease Indications in Normal Subjects
graph	Parallel Triangles and Squares Count for Multigraphs using Vertex Covers
graph attention networks	Payload Level Graph Attention Network for Web Attack Traffic Detection
Graph classification	Graph-level representations using ensemble-based readout functions Strengthening structural baselines for graph classification using Local Topological Profile
Graph descriptors	Strengthening structural baselines for graph classification using Local Topological Profile
Graph Embedding	RAFEN - Regularized Alignment Framework for Embeddings of Nodes
Graph Laplacian	Leveraging Social Contagion to Foster Consensus in Collective Decision-Making
graph neural network	Prediction of Urban Population-Facilities Interactions with Graph Neural Network
Graph Neural Networks	RAFEN - Regularized Alignment Framework for Embeddings of Nodes Graph-level representations using ensemble-based readout functions Graph neural network potentials for molecular dynamics simulations of water cluster anions Deep Learning Attention Model For Supervised and Unsupervised Network Community Detection
Graph optimization	Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar
Graph Regression	Graph-level representations using ensemble-based readout functions
graph representation learning	Strengthening structural baselines for graph classification using Local Topological Profile Payload Level Graph Attention Network for Web Attack Traffic Detection
graph transformations	Towards Automatic Generation of Digital Twins: Graph-based Integration of Smart City Datasets
graphite forms classification	Prediction of casting mechanical parameters based on direct microstructure image analysis using deep neural network and graphite forms classification
Graphs	Automating the Analysis of Institutional Design in International Agreements
Grassmannian diffusion maps	Global Sensitivity Analysis Using Polynomial Chaos Expansion on the Grassmann Manifold
gravity model	Prediction of Urban Population-Facilities Interactions with Graph Neural Network
Green Infrastructures	Downscaling WRF-Chem: Analyzing urban air quality in Barcelona city
Greybox Environment	RL-MAGE: Strengthening Malware Detectors against Smart Adversaries
ground state	Sub-Exponential ML algorithm for predicting local ground state properties
Group	Allocation of Distributed Resources with Group Dependencies and Availability Uncertainties
GTZAN	Tempo and Time Signature Detection of a Musical Piece
H
H-matrices	Least-squares space-time formulation for advection-diffusion problem with efficient adaptive solver based on matrix compression
H-terminated diamond	Adsorption Characteristics and Thermal Stability of Hy-drogen Termination on Diamond Surface：A first-principles study
Hail cannon	The first scientiffic evidence for the hail cannon
hand gesture recognition	Tensor Train Subspace Analysis for Classification of Hand Gestures with Surface EMG Signals
handwritten text recognition	Handwriting Analysis AI-based System for Assisting People with Dysgraphia
Headed constituencies	Constituency Parsing with Spines and Attachments
Health decision support	Knowledge hypergraph-based multidimensional analysis for natural language queries: application to medical data
Healthcare	Enhanced Emotion and Sentiment Recognition for Empathetic Dialogue System Using Big Data and Deep Learning Methods Use of Decentralized-Learning Methods Applied to Healthcare: A Bibliometric Analysis Discovering Process Models from Patient Notes
heavy-tail simulation	Creating Models for Predictive Maintenance of Field Equipment in the Oil Industry with Simulation Based Uncertainty Modelling
Hemostasis	Simulating initial steps of platelet aggregate formation in a cellular blood flow environment
heterogeneous computing	Vecpar – A Framework for Portabililty and Parallelization Improving the Performance of Task-based Linear Algebra Software with Autotuning Techniques on Heterogeneous Architectures Surrogate-Assisted Ship Route Optimisation
Heterogeneous graph neural networks	Self-supervised Deep Heterogeneous Graph Neural Networks with Contrastive Learning
Heterogeneous porous media	Constraint energy minimizing generalized multiscale finite element method for highly heterogeneous compressible flow
Heuristic rules	Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules
hexahedral mesh	Numerical Solution on Nonaffine Grids by Least-Squares FEM for Convection-Dominated Problems
hierarchical learning	Hierarchical Learning to Solve PDEs Using Physics-Informed Neural Networks
High Performance Computing	An Overview of High Performance Computing and Future Requirements Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in High-Performance Multiscale Plasma Physics Simulations
high-dimensional data	What will happen when we radically simplify t-SNE an UMAP visualization algorithms. Is it worth to do that?
High-Level Synthesis	Minimal Path Delay Leading Zero Counters on Xilinx FPGAs
High-Performance Computing	Long-term prediction of cloud resource usage in high-performance computing A Bayesian Optimization through Sequential Monte Carlo and Statistical Physics-Inspired Techniques
Higher order approximation	On the weak formulations of the Multipoint meshless FDM
HOBO	Solving Higher Order Binary Optimization Problems on NISQ Devices: Experiments and Limitations
Homogenization	On the weak formulations of the Multipoint meshless FDM
HOT SAX	Timeseries Anomaly Detection Using SAX and Matrix Profiles Based Longest Common Subsequence
hp-Adaptivity	An Adaptive Strategy to Solve Parametric PDEs to Generate Massive Databases for Deep Learning Inversion
HPC	Leading the Way in European Supercomputing. User’s Opportunities and Latest Updates from the EuroHPC Joint Undertaking Digital twin simulation development and execution on HPC infrastructures Chemical Mixing Simulations with Integrated AI Accelerator
HPC efficiency	Efficiency Analysis for IA applications in HPC systems. Case study: k-means
HPC performance	Efficiency Analysis for IA applications in HPC systems. Case study: k-means
Human Brain	Toward the Human Nanoscale Connectome: Neuronal Morphology Format, Modeling, and Storage Requirement Estimation
Human expertise	Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules
Humanities	Enhanced Emotion and Sentiment Recognition for Empathetic Dialogue System Using Big Data and Deep Learning Methods
hybrid electric vehicle	Analyzing the Attitudes of Consumers to Electric Vehicles Using Bayesian Networks
Hybrid forecasting models	Forecasting Cryptocurrency Prices using Contextual ES-adRNN with Exogenous Variables
Hybrid method	Spatially-varying meshless approximation method for enhanced computational efficiency
hybrid models	Using machine learning, data assimilation and their combination to improve a new generation of Arctic sea-ice models
Hybrid Parallelization	Dynamic core binding for load balancing of applications parallelized with MPI/OpenMP
hybrid quantum algorithm	Classification of Hybrid Quantum-Classical Computing
hybrid quantum computing	Classification of Hybrid Quantum-Classical Computing
Hydrodynamics	Predicting cell stress and deformation during bioprinting
Hydrogen	Molecular dynamics study of hydrogen dissolution and diffusion in different nonmetallic pipe materials
hypergraph partitioning	A Hypergraph Model and Associated Optimization Strategies for Path Length-Driven Netlist Partitioning
Hyperparameters	Software aided approach for constrained optimization based on QAOA modifications
hyperspectral image	Estimating Chlorophyll Content from Hyperspectral Data Using Gradient Features
Hyperthermia	Influence of the capillaries bed in hyperthermia for cancer treatment
I
ideological polarisation	The process of polarisation as a loss of dimensionality.
image classification	From Online Behaviours to Images: A Novel Approach to Social Bot Detection Exploring the Capabilities of Quantum Support Vector Machines for Image Classification on the MNIST Benchmark
image classification using deep neural network	Prediction of casting mechanical parameters based on direct microstructure image analysis using deep neural network and graphite forms classification
Image Data Processing	Radial Basis Function Neural Network with a Centers Training Stage for Prediction Based on Dispersed Image Data
Image Processing	Forest Image Classification based on Deep learning and XGBoost algorithm Numerical method for 3D quantification of glenoid bone loss
image reconstruction from projections	A new statistical approach to image reconstruction with rebinning for the x-ray CT scanners with flying focal spot tube
Imbalanced data	Balancing agents for mining imbalanced multiclass datasets - performance evaluation
Imbalanced dataset	B2-FedGAN: Balanced Bi-directional FefAvg based GAN
Imitation Learning	Performing Aerobatic Maneuver with Imitation Learning
Immersed-Boundary	Predicting cell stress and deformation during bioprinting
Implementation Uncertainties	Semantic Hashing to Remedy Uncertainties in Ontology-Driven Edge Computing
Imputation	Automatic Delta-Adjustment Method applied to Missing Not At Random Imputation Siamese Autoencoder-based Approach for Missing Data Imputation
In silico	Mathematical Modeling and Numerical Simulations for Drug Release from PLGA Nanoparticles
In situ computational steering	Computational Steering: Interactive Design-through-Analysis for Simulation Sciences
in-silico design	Towards In-silico Design of Fusion Power-plant Systems
in-silico tool	Modelling the interplay between Chronic Stress and Type 2 Diabetes on-set
independent data sources	Rules' Quality Generated by the Classification Method for Independent Data Sources Using Pawlak Conflict Analysis Model
influenza	Accounting for data uncertainty in modeling acute respiratory infections: influenza in St. Petersburg as a case study
Information criterion	Improving Group Lasso for high-dimensional categorical data
Information Extraction	Automating the Analysis of Institutional Design in International Agreements
initial conditions	Influence of activation functions on the convergence of Physics-Informed Neural Networks for 1D wave equation
Innovative interaction techniques	Empirical studies of students behaviour using Scottie-Go block tools to develop problem-solving experience
Input data preparation	Impact of Input Data Preparation on Multi-Criteria Decision Analysis Results
Input data Uncertainty	Impact of Mixed-Precision: a Way to Accelerate Data-Driven Forest Fire Spread Systems
Institutional Design	Automating the Analysis of Institutional Design in International Agreements
Institutional Grammar	Automating the Analysis of Institutional Design in International Agreements
integer factorization	Searching $B$-smooth numbers using quantum annealing: applications to factorization and discrete logarithm problem
Integer Linear Programming	A polynomial size model with implicit SWAP gate counting for exact qubit reordering
Integer Program	OptICS-EV: A Data-Driven Model for Optimal Installation of Charging Stations for Electric Vehicles
Integer programming	Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar
intelligent biometric identification	Identifying Users of IoT Wearables by Heart rate
Intelligent Transportation System	ITS4Tsunamis: An Intelligent Transportation System for Tsunamis Combining CEP, CPN and Fuzzy Logic
Interactive High Performance Computing	Computational Steering: Interactive Design-through-Analysis for Simulation Sciences
Interference	Online Runtime Environment Prediction for Complex Colocation Interference in Distributed Stream Processing
internally displaced persons	Integrating remote sensing data in an agent-based modeling of the Tigray conflict Developing an Agent-Based Simulation Model to Forecast Flood-Induced Evacuation and Internally Displaced Persons
International organisations	Towards a Better Understanding of Multilateral Consensus Making: Analyzing the Complex Network of UN Security Council and WHO Resolutions
Internet of Things	Cloud Native approach to the implementation of an environmental monitoring system for Smart City based on IoT devices
interval arithmetic	Fuzzy solutions of boundary problems using interval parametric integral equations system
Interval fast parametric integral equations system	Solving uncertainly defined curvilinear potential 2D BVPs by the IFPIES
Interval numbers	Solving uncertainly defined curvilinear potential 2D BVPs by the IFPIES
Inverse Problems	Combining Deep Learning and Computational Mechanics in structural damage assessment under environmental and operational variability
IoT	Application of genetic algorithm to load balancing in networks with a homogeneous traffic flow Identifying Users of IoT Wearables by Heart rate Semantic Hashing to Remedy Uncertainties in Ontology-Driven Edge Computing
irremovable uncertainty	On the Resolution of Approximation Errors on an Ensemble of Numerical Solutions
Ising	Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization Black Box Optimization Using QUBO and the Cross Entropy Method
Isogeometric Analysis	The first scientiffic evidence for the hail cannon Intracellular Material Transport Simulation in Neurons Using Isogeometric Analysis and Deep Learning Least-squares space-time formulation for advection-diffusion problem with efficient adaptive solver based on matrix compression
Isogeometric Finite Element Method	Parallel algorithm for concurrent integration of three-dimensional B-spline functions
Isotropic change of mass	Symbolic-Numeric Computation in Modeling the Dynamics of the Many-Body System TRAPPIST
Iterative Algorithm	Wildfire Perimeter Detection via Iterative Trimming Method
Iterative methods	Experimental Study of a Parallel Iterative Solver for Markov Chain Modeling
J
Jet	Numerical simulation of supersonic jet noise using open source software
Job	Allocation of Distributed Resources with Group Dependencies and Availability Uncertainties
Job Demands	Excessive Internet Use in the Organizational Context: A Proposition of the New Instrument to Measure Cyberloafing at Work
Joint Entity and Relation Extraction	Similarity-based Memory Enhanced Joint Entity and Relation Extraction
Julia	Transparent Checkpointing for Automatic Differentiation of Program Loops through Expression Transformations
K
kernel methods	A kernel extension of the Ensemble Transform Kalman Filter
keyword extraction	Transferable Keyword Extraction and Generation with Text-to-Text Language Models
Knapsack	Allocation of Distributed Resources with Group Dependencies and Availability Uncertainties
knn	A Robust Machine Learning Protocol for Prediction of Prostate Cancer Survival at Multiple Time-Horizons
KNN classification	Weighted Hamming Metric and KNN Classification of Nominal-Continuous Data
kNN graph visualization	What will happen when we radically simplify t-SNE an UMAP visualization algorithms. Is it worth to do that?
Knowledge Engineering	Ontological Modelling and Social Network: from expert validation to consolidated domains
knowledge graph	Graph TopoFilter: a method for noisy labels detection for graph-structured classes
Knowledge hypergraph	Knowledge hypergraph-based multidimensional analysis for natural language queries: application to medical data
L
label noise	On the Impact of Noisy Labels on Supervised Classification Models
large data sets	A New Algorithm for the Closest Pair of Points for Very Large Data Sets using Exponent Bucketing and Windowing
large language models	Variable Discovery with Large Language Models for Metamorphic Testing of Scientific Software Fine-Tuning Large Language Models for Answering Programming Questions with Code Snippets
Large-eddy simulations	Bayesian optimization of the layout of wind farms with a high-fidelity surrogate model Hemodynamics of the coarctation of the aorta: a Lattice Boltzmann Study
Latent Dirichlet Allocation	Investigating the Sentiment in Italian Long-COVID Narrations
Latin manuscripts database	Database of fragments of medieval codices of the 11th-12th centuries - the uniqueness of requirements and data
lattice Boltzmann method	Hemodynamics of the coarctation of the aorta: a Lattice Boltzmann Study Sensitivity Analysis of Blood Flow in Abdominal Aortic Aneurysms by Lattice Boltzmann Method
Lattice-Boltzmann	Predicting cell stress and deformation during bioprinting
LCS method	Timeseries Anomaly Detection Using SAX and Matrix Profiles Based Longest Common Subsequence
Leading Point Multi-Regression Model	Detection of Anomalous Days in Energy Demand using Leading Point Multi-Regression Model
Leading Zero Counters	Minimal Path Delay Leading Zero Counters on Xilinx FPGAs
League of Legends	Champion Recommendation in League of Legends Using Machine Learning
Learning-based optimization	Applying reinforcement learning to Ramsey problems
least-squares finite element method	Numerical Solution on Nonaffine Grids by Least-Squares FEM for Convection-Dominated Problems
LeGO	A novel high-throughput framework to quantify spatio- temporal tumor clonal dynamics
Length of stay	Improving Patients' Length of Stay Prediction Using Clinical and Demographics Features Enrichment
LiDAR	SLAM methods for Augmented Reality systems for flight simulators
linear algebra	Improving the Performance of Task-based Linear Algebra Software with Autotuning Techniques on Heterogeneous Architectures
Link Prediction	RAFEN - Regularized Alignment Framework for Embeddings of Nodes
Lithium battery cell	SocHAP: a new data driven explainable prediction of battery state of charge
load balancing	Application of genetic algorithm to load balancing in networks with a homogeneous traffic flow
local operator	Sub-Exponential ML algorithm for predicting local ground state properties
Localization	Biharmonic scattered data interpolation based on the Method of Fundamental Solutions
LocalMaxs algorithm	Improving LocalMaxs Multiword Expression Statistical Extractor
logistic regression	Does complex mean accurate: comparing COVID-19 propagation models with different structural complexity A Robust Machine Learning Protocol for Prediction of Prostate Cancer Survival at Multiple Time-Horizons
Logistics	A Case Study of the Profit-Maximizing Multi-Vehicle Pickup and Delivery Selection Problem for the Road Networks with the Integratable Nodes
Long Short-Term Memory	Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos
Low-regularity solutions	Deep Fourier Residual method for PDEs with H1 and H(curl) test function spaces
Lower Bound	Determination of lower bounds of the goal function for a single machine scheduling problem on D-Wave quantum annealer
M
Machine Learning	RL-MAGE: Strengthening Malware Detectors against Smart Adversaries Predicting ABM Results with Covering Arrays and Random Forests An application of evolutionary algorithms and machine learning in four-part harmonization RAFEN - Regularized Alignment Framework for Embeddings of Nodes FAIR-FATE: Fair Federated Learning with Momentum Machine learning detects anomalies in OPS-SAT telemetry Graph-level representations using ensemble-based readout functions Data Heterogeneity Differential Privacy: From Theory to Algorithm Sentiment Analysis Using Machine Learning Approach Based on Feature Extraction for Anxiety Detection Improving Patients' Length of Stay Prediction Using Clinical and Demographics Features Enrichment Identifying Users of IoT Wearables by Heart rate Estimating Chlorophyll Content from Hyperspectral Data Using Gradient Features ML-based proactive control of industrial processes Long-term prediction of cloud resource usage in high-performance computing Chemical Mixing Simulations with Integrated AI Accelerator An Analysis of Political Parties Cohesion based on Congressional Speeches Use of Decentralized-Learning Methods Applied to Healthcare: A Bibliometric Analysis Machine Learning for Risk Stratification of Diabetic Foot Ulcers using Biomarkers Supervised machine learning techniques applied to medical records toward the diagnosis of rare autoimmune diseases Universal machine-learning processing pattern for computing in the video-oculography. Semi-supervised Learning Approach to Efficient Cut Selection in the Branch-and-Cut Framework Performance of selected Nature-Inspired Metaheuristic Algorithms used for Extreme Learning Machine Forest Image Classification based on Deep learning and XGBoost algorithm Classification performance of Extreme Learning Machine Radial Basis Function with k-means, k-medoids and mean shift clustering algorithms Champion Recommendation in League of Legends Using Machine Learning Using machine learning, data assimilation and their combination to improve a new generation of Arctic sea-ice models Taking a Shortcut Through Phase Space: Neural Networks Solving Differential Equations Human-Sensors & Physics awared Machine Learning for Wildfire Detection and Nowcasting An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations Clustering-based Identification of Precursors of Extreme Events in Chaotic Systems Convolutional Recurrent Autoencoder for Molecular-Continuum Coupling Sub-Exponential ML algorithm for predicting local ground state properties Learning QUBO Models for Quantum Annealing: A Constraint-based Approach Feature importances as a tool for root cause analysis in time-series events Prediction of casting mechanical parameters based on direct microstructure image analysis using deep neural network and graphite forms classification Cyber-physical system supporting the production technology of steel mill products based on ladle furnace tracking and sensor networks Creating Models for Predictive Maintenance of Field Equipment in the Oil Industry with Simulation Based Uncertainty Modelling Quantifying Parking Difficulty with Transport and Prediction Models for Travel Mode Choice Modelling A Robust Machine Learning Protocol for Prediction of Prostate Cancer Survival at Multiple Time-Horizons
Machine translation task	Impact of text pre-processing on classification accuracy in Polish
Magnetogram Image Descriptor	Sun Magnetograms Retrieval From Vast Collections Through Small Hash Codes
Magnetogram Image Hash	Sun Magnetograms Retrieval From Vast Collections Through Small Hash Codes
magnetospheric dynamics	Implementation of Coupled Numerical Analysis of Magnetospheric Dynamics and Spacecraft Charging Phenomena via Code-To-Code Adapter (CoToCoA) Framework
Mainshock-Aftershock Sequence	Introducing a computational method to retrofit ‎damaged buildings under seismic mainshock-aftershock ‎sequence
Malware Detection	Breaking the Anti-Malware: EvoAAttack based on Genetic Algorithm against Android Malware Detection Systems
Markov chains	Experimental Study of a Parallel Iterative Solver for Markov Chain Modeling
Markov Model	Estimation of the Impact of COVID-19 Pandemic Lockdowns on Breast Cancer Deaths and Costs in Poland using Markovian Monte Carlo Simulation
Markov-Chain-Monte-Carlo	Estimating Parameters of 3D Cell Model using a Bayesian Recursive Global Optimizer (BaRGO)
Massive Databases	An Adaptive Strategy to Solve Parametric PDEs to Generate Massive Databases for Deep Learning Inversion
Material Transport	Intracellular Material Transport Simulation in Neurons Using Isogeometric Analysis and Deep Learning
materials science	Scale-bridging workflows in materials science using FireWorks
mathematical didactic	Symbolic calculation behind floating-point arithmetic: didactic examples and experiment using CAS
mathematical modeling	Does complex mean accurate: comparing COVID-19 propagation models with different structural complexity Accounting for data uncertainty in modeling acute respiratory infections: influenza in St. Petersburg as a case study
mathematics of computing	Compiling Tensor Expressions into Einsum
matrix compression	Least-squares space-time formulation for advection-diffusion problem with efficient adaptive solver based on matrix compression
Matrix profile	Timeseries Anomaly Detection Using SAX and Matrix Profiles Based Longest Common Subsequence
MaxCompiler	Minimal Path Delay Leading Zero Counters on Xilinx FPGAs
MCDA	Impact of Input Data Preparation on Multi-Criteria Decision Analysis Results
mechanical model	Coupling between a finite element model of coronary artery mechanics and a microscale agent-based model of smooth muscle cells through trilinear interpolation
Mechanical properties	Simulating the Deformation and Stress Distribution of High-shear Platelet Aggregates Under Multiple Shear Flow Conditions
Mechanobiology modelling	Towards unresolved RBC – a deformable particle model for the unresolved CFD-DEM simulation of blood flow
Medical image analysis	CNN-based Quantifcation of Blood Vessels Lumen in 3D Images
Medical records	Supervised machine learning techniques applied to medical records toward the diagnosis of rare autoimmune diseases
Medicine	Use of Decentralized-Learning Methods Applied to Healthcare: A Bibliometric Analysis
memory hierarchies	An Overview of High Performance Computing and Future Requirements
Memory management	Memory-efficient all-pair suffix-prefix overlaps on GPU
Memory Palace	A Framework for Effective Guided Mnemonic Journeys
Mental Healthcare	Discovering Process Models from Patient Notes
mesh-adaptive neural network	A Deep r- Adaptive First Order Least Squares method for solving elliptic PDEs
Meshless	Spatially-varying meshless approximation method for enhanced computational efficiency Oscillatory behaviour of the RBF-FD approximation accuracy under increasing stencil size
Meshless FDM	On the weak formulations of the Multipoint meshless FDM
Message Passing	Graph neural network potentials for molecular dynamics simulations of water cluster anions
Meta-Heuristic	Comparative study of meta-heuristic algorithms for damage detection problem
Metaheuristic Algorithms	Performance of selected Nature-Inspired Metaheuristic Algorithms used for Extreme Learning Machine
Metamorphic Testing	Variable Discovery with Large Language Models for Metamorphic Testing of Scientific Software
Method of Fundamental Solutions	Biharmonic scattered data interpolation based on the Method of Fundamental Solutions
metric learning	Weighted Hamming Metric and KNN Classification of Nominal-Continuous Data
Metric-based Index	Optimization and Comparison of Coordinate- and Metric-Based Indexes on GPUs for Distance Similarity Searches
Microsoft Academic Graph	Linking scholarly datasets — the EOSC perspective
migration studies	Korpusomat.eu: A Multilingual Platform for Effortless Building and Analysing Linguistic Corpora
minimum distance	A New Algorithm for the Closest Pair of Points for Very Large Data Sets using Exponent Bucketing and Windowing
Missing Data	Automatic Delta-Adjustment Method applied to Missing Not At Random Imputation Siamese Autoencoder-based Approach for Missing Data Imputation
Missing Not At Random	Automatic Delta-Adjustment Method applied to Missing Not At Random Imputation Siamese Autoencoder-based Approach for Missing Data Imputation
mixed element	Numerical Solution on Nonaffine Grids by Least-Squares FEM for Convection-Dominated Problems
Mixed integer programming	Semi-supervised Learning Approach to Efficient Cut Selection in the Branch-and-Cut Framework
mixed precision	Optimization of asynchronous logging kernels for a GPU accelerated CFD solver
Mixed-integer programming	A Case Study of the Profit-Maximizing Multi-Vehicle Pickup and Delivery Selection Problem for the Road Networks with the Integratable Nodes
Mixed-precision	Impact of Mixed-Precision: a Way to Accelerate Data-Driven Forest Fire Spread Systems
Mnemonics	A Framework for Effective Guided Mnemonic Journeys
MNIST Benchmark	Exploring the Capabilities of Quantum Support Vector Machines for Image Classification on the MNIST Benchmark
model	Global optimisation for improved volume tracking of time-varying meshes
Model Performance	Sentiment Analysis Using Machine Learning Approach Based on Feature Extraction for Anxiety Detection
Model Predictive Control	Smart Control System for Sustainable Swimming Pools
Model reduction	Improving Group Lasso for high-dimensional categorical data
Modeling	Toward the Human Nanoscale Connectome: Neuronal Morphology Format, Modeling, and Storage Requirement Estimation
Modelling	Model of perspective distortions for a vision measuring system of large-diameter bent pipes
Modularity maximization	Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar
Molecular Dynamics	Graph neural network potentials for molecular dynamics simulations of water cluster anions Scale-bridging workflows in materials science using FireWorks Convolutional Recurrent Autoencoder for Molecular-Continuum Coupling Molecular dynamics study of hydrogen dissolution and diffusion in different nonmetallic pipe materials
Molecular-Continuum	Convolutional Recurrent Autoencoder for Molecular-Continuum Coupling
Momentum	FAIR-FATE: Fair Federated Learning with Momentum
Monte Carlo	Influence of the capillaries bed in hyperthermia for cancer treatment
Monte Carlo integration	Memory-based Monte Carlo integration for solving Partial Differential Equations using Neural Networks
Monte Carlo simulation	Efficient uncertainty quantification using sequential sampling-based neural networks
Moral Foundations Dictionary	A Moral Foundations Dictionary for the European Portuguese Language: The Case of Portuguese Parliamentary Debates
Moral Foundations Theory	A Moral Foundations Dictionary for the European Portuguese Language: The Case of Portuguese Parliamentary Debates
mortar mixed finite elements	A space-time multiscale mortar mixed finite element method for flow in porous media
motion capture	Anomaly detection of motion capture data based on the autoencoder approach 3D tracking of multiple drones based on Particle Swarm Optimization
Moving Boundary	Turning Flight Simulation with Fluid-rigid Body Interaction for Flying Car with Contra-rotating Propellers
moving grids	Numerical simulation of the octorotor flying car in sudden rotor stop
MPI	Parallel Adjoint Taping using MPI
MR angiography simulation	Cerebral vessel segmentation in CE-MR images using deep learning and synthetic training datasets
Multi-Agent Systems	Leveraging Social Contagion to Foster Consensus in Collective Decision-Making GCS-Q: Quantum Graph Coalition Structure Generation
Multi-criteria decision analysis	Impact of Input Data Preparation on Multi-Criteria Decision Analysis Results
Multi-label classiffication	Decision Tree-Based Algorithms for Detection of Damage in AIS Data
Multi-modal	DeBERTNeXT: A Multimodal Fake News Detection framework
Multi-objective Quantum-inspired Genetic Algorithm	Multi-objective Quantum-inspired Genetic Algorithm for Supervised Learning of Deep Classification Models
Multi-omics data	Hierarchical relative expression analysis in multi-omics data classification
Multi-region analysis	PIES in multi-region elastic problems including body forces
Multi-Task Learning	Similarity-based Memory Enhanced Joint Entity and Relation Extraction
Multiclass datasets	Balancing agents for mining imbalanced multiclass datasets - performance evaluation
Multidimensional analysis	Knowledge hypergraph-based multidimensional analysis for natural language queries: application to medical data
multifractality	Multifractal organization of EEG signals in Multiple Sclerosis
multigraph	Parallel Triangles and Squares Count for Multigraphs using Vertex Covers
Multilateral diplomacy	The Emergence of an European Consensus: A Data-Driven Analysis of UN General Assembly Voting Patterns
Multilateralism	Towards a Better Understanding of Multilateral Consensus Making: Analyzing the Complex Network of UN Security Council and WHO Resolutions
multilayer networks	The role of conformity in opinion dynamics modelling with multiple social circles
Multimodal Ensembles	Multimodal Emotion Classification Supported in the Aggregation of Pre-Trained classification models
multimodal monitoring	Resting State Brain Connectivity analysis from EEG and FNIRS signals
Multiphase Model	Deswelling Dynamics of Chemically-Active Polyelectrolyte Gels
multiple cameras	3D tracking of multiple drones based on Particle Swarm Optimization
multiple drones	3D tracking of multiple drones based on Particle Swarm Optimization
Multiple Sclerosis	Sensitivity Analysis of a Two-compartmental Differential Equation Mathematical Model of Multiple Sclerosis using Parallel Programming
multiple sclerosis (MS)	Multifractal organization of EEG signals in Multiple Sclerosis
Multipoint method	On the weak formulations of the Multipoint meshless FDM
multiscale flat norm	Structural Validation Of Synthetic Power Distribution Networks Using The Multiscale Flat Norm
Multiscale method	Constraint energy minimizing generalized multiscale finite element method for highly heterogeneous compressible flow
multiscale modeling workflow	Scale-bridging workflows in materials science using FireWorks
Multiscale Modelling	Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in High-Performance Multiscale Plasma Physics Simulations
multiscale mortar method	A space-time multiscale mortar mixed finite element method for flow in porous media
Multiword Expressions	Improving LocalMaxs Multiword Expression Statistical Extractor
Music Information Retrieval	Tempo and Time Signature Detection of a Musical Piece
N
n-body problem	Actor-based Scalable Simulation of N-body Problem\
Named Entity Recognition	Named Entity Recognition for De-identifying Real-World Health Records in Spanish
Nanoscale	Toward the Human Nanoscale Connectome: Neuronal Morphology Format, Modeling, and Storage Requirement Estimation
Narrative Medicine	Investigating the Sentiment in Italian Long-COVID Narrations
Natural convection	Spatially-varying meshless approximation method for enhanced computational efficiency
Natural Disaster	Developing an Agent-Based Simulation Model to Forecast Flood-Induced Evacuation and Internally Displaced Persons
Natural language generation	Bayesian Networks for Named Entity Prediction in Programming Community Question Answering
Natural Language Processing	Variable Discovery with Large Language Models for Metamorphic Testing of Scientific Software Enhanced Emotion and Sentiment Recognition for Empathetic Dialogue System Using Big Data and Deep Learning Methods Bayesian Networks for Named Entity Prediction in Programming Community Question Answering Korpusomat.eu: A Multilingual Platform for Effortless Building and Analysing Linguistic Corpora TwitterEmo: Annotating Emotions and Sentiment in Polish Twitter Towards a Better Understanding of Multilateral Consensus Making: Analyzing the Complex Network of UN Security Council and WHO Resolutions An Analysis of Political Parties Cohesion based on Congressional Speeches Automating the Analysis of Institutional Design in International Agreements Named Entity Recognition for De-identifying Real-World Health Records in Spanish Impact of text pre-processing on classification accuracy in Polish Code Semantics Learning with Deep Neural Networks: an AI-based Approach for Programming Education Graph TopoFilter: a method for noisy labels detection for graph-structured classes
Natural language queries	Knowledge hypergraph-based multidimensional analysis for natural language queries: application to medical data
nature-inspired optimization	Expedited Metaheuristic-Based Antenna Optimization Using EM Model Resolution Management
Navier-Stokes equations	Adaptive-Multilevel BDDC: A Scalable Domain Decomposition Method for Problems in Computational Mechanics
Nearest Neighbor Architectures	A polynomial size model with implicit SWAP gate counting for exact qubit reordering
Nek5000	Numerical simulation of propeller hydrodynamics using the open source software
Neo-Hookean materials	Simulating the Deformation and Stress Distribution of High-shear Platelet Aggregates Under Multiple Shear Flow Conditions
Network analysis	Comparative analysis of community detection and transformer-based approaches for topic clustering of scientific papers Global network of biofuel feedstock commodity futures
Network coverage and lifetime	CA-based Collective Behavior Approach to Solve Coverage and Lifetime Optimization Problems in Wireless Sensor Networks
Network diffusion models	Data Integration Landscapes: The Case for Non-Optimal Solutions in Network Diffusion Models
Network Modelling	A framework for modelling temporal networks using singular value decomposition and symbolic regression
Network science	Deep Learning Attention Model For Supervised and Unsupervised Network Community Detection Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar
network validation	Structural Validation Of Synthetic Power Distribution Networks Using The Multiscale Flat Norm
Neural network	A Deep r- Adaptive First Order Least Squares method for solving elliptic PDEs Convolutional Recurrent Autoencoder for Molecular-Continuum Coupling
Neural network model	How to select superior Neural Network simulating inner city contaminant transport? Verification and validation techniques.
neural networks	User Popularity Preference Aware Sequential Recommendation Fast solver for advection dominated diffusion using residual minimization and neural networks Memory-based Monte Carlo integration for solving Partial Differential Equations using Neural Networks Anomaly detection of motion capture data based on the autoencoder approach Efficient uncertainty quantification using sequential sampling-based neural networks Constrained aerodynamic shape optimization using neural networks and sequential sampling Real-time reconstruction of complex flow in nanoporous media: linear vs non-linear decoding Classification performance of Extreme Learning Machine Radial Basis Function with k-means, k-medoids and mean shift clustering algorithms Non-local Neural closure models of partial differential equations
Neural ODE	Battery voltage response prediction with physics-informed machine learning
neurodegenerative diseases	Universal machine-learning processing pattern for computing in the video-oculography.
Neuron	Intracellular Material Transport Simulation in Neurons Using Isogeometric Analysis and Deep Learning Toward the Human Nanoscale Connectome: Neuronal Morphology Format, Modeling, and Storage Requirement Estimation
Neurophysiology	Replacing the FitzHugh-Nagumo electrophysiology model by physics-informed neural networks
NLP	Comparative analysis of community detection and transformer-based approaches for topic clustering of scientific papers Hierarchical Classification of Adverse Events Based on Consumer’s Comments
NNC	A polynomial size model with implicit SWAP gate counting for exact qubit reordering
Node Centrality	An Approach for Probabilistic Modeling and Reasoning of Political Networks
Noise	On filtering the noise in consensual communities Numerical simulation of supersonic jet noise using open source software
noisy labels	Graph TopoFilter: a method for noisy labels detection for graph-structured classes
nominal-continuous data	Weighted Hamming Metric and KNN Classification of Nominal-Continuous Data
non-matching grids	A space-time multiscale mortar mixed finite element method for flow in porous media
nonaffine grids	Numerical Solution on Nonaffine Grids by Least-Squares FEM for Convection-Dominated Problems
nondeterministic automata	Inference of over-constrained NFA of size k+1 to efficiently and systematically derive NFA of size k for grammar learning
Nonlinear Dynamics	Taking a Shortcut Through Phase Space: Neural Networks Solving Differential Equations
Nonmetallic materials	Molecular dynamics study of hydrogen dissolution and diffusion in different nonmetallic pipe materials
Nonparametric estimation	Learning shape-preserving autoencoder for the reconstruction of functional data from noisy observations
Nonstationary many-body problem	Symbolic-Numeric Computation in Modeling the Dynamics of the Many-Body System TRAPPIST
Normalization	Impact of Input Data Preparation on Multi-Criteria Decision Analysis Results
NoSQL databases	Knowledge hypergraph-based multidimensional analysis for natural language queries: application to medical data
Numerical Integration	Parallel algorithm for concurrent integration of three-dimensional B-spline functions
Numerical simulation	Spatially-varying meshless approximation method for enhanced computational efficiency
O
object detection	Detection of objects dangerous for the operation of mining machines
Obstacle avoidance	Smart Head-mount Obstacle Avoidance Wearable for the Vision Impaired
offline writer identification	Database of fragments of medieval codices of the 11th-12th centuries - the uniqueness of requirements and data
one class classification	Outlier detection under False Omission Rate control
Ontological Modelling	Ontological Modelling and Social Network: from expert validation to consolidated domains
Ontology	Ontological Modelling and Social Network: from expert validation to consolidated domains
Ontology-Driven Edge Computing	Semantic Hashing to Remedy Uncertainties in Ontology-Driven Edge Computing
open-source agent-based models	Building Robust Simulation-based Forecasts During Emergencies
OpenACC	Development of 3D viscoelastic crustal deformation analysis solver with data-driven method on GPU Optimization of asynchronous logging kernels for a GPU accelerated CFD solver
OpenAIRE Graph	Linking scholarly datasets — the EOSC perspective
opencast miniG	Detection of objects dangerous for the operation of mining machines
OpenFOAM	Numerical simulation of supersonic jet noise using open source software Numerical simulation of propeller hydrodynamics using the open source software On the Resolution of Approximation Errors on an Ensemble of Numerical Solutions
opinion formation	The role of conformity in opinion dynamics modelling with multiple social circles
opinion spread	The role of conformity in opinion dynamics modelling with multiple social circles
optical character recognition	Database of fragments of medieval codices of the 11th-12th centuries - the uniqueness of requirements and data
optimal control	ML-based proactive control of industrial processes
optimal interpolation	Learning Neural Optimal Interpolation Models and Solvers
optimal path planning	Surrogate-Assisted Ship Route Optimisation
optimal test functions	Fast solver for advection dominated diffusion using residual minimization and neural networks
Optimization	Memory-based Monte Carlo integration for solving Partial Differential Equations using Neural Networks Optimal Knots Selection in Fitting Degenerate Reduced Data A polynomial size model with implicit SWAP gate counting for exact qubit reordering
optimizer learning	Learning Neural Optimal Interpolation Models and Solvers
Ordinal pattern	Reduction of the computational cost of tuning methodology of a simulator of a physical system.
out-of-distribution detection	Combining Outlierness Scores and Feature Extraction Techniques for Improvement of OoD and Adversarial Attacks Detection in DNNs
Outdoor Swimming Pools	Smart Control System for Sustainable Swimming Pools
outlier detection	Outlier detection under False Omission Rate control
P
parallel algorithms	Experimental Study of a Parallel Iterative Solver for Markov Chain Modeling
Parallel and Sequential Implementation	SPMD-based Neural Network Simulation with Golang
Parallel computing	Vecpar – A Framework for Portabililty and Parallelization
Parallel processing	Memory-efficient all-pair suffix-prefix overlaps on GPU
Parallel programming	Sensitivity Analysis of a Two-compartmental Differential Equation Mathematical Model of Multiple Sclerosis using Parallel Programming
Parallelism	Parallel Adjoint Taping using MPI
Parameter estimation	CNN-based Quantifcation of Blood Vessels Lumen in 3D Images
Parametric PDEs	An Adaptive Strategy to Solve Parametric PDEs to Generate Massive Databases for Deep Learning Inversion
Parametric simulation	Reduction of the computational cost of tuning methodology of a simulator of a physical system.
Parkinson's disease	Universal machine-learning processing pattern for computing in the video-oculography.
Partial Differential Equations	Deep Fourier Residual method for PDEs with H1 and H(curl) test function spaces
particle swarm optimization	3D tracking of multiple drones based on Particle Swarm Optimization
PAS2Ptool	Efficiency Analysis for IA applications in HPC systems. Case study: k-means
Pawlak conflict analysis model	Rules' Quality Generated by the Classification Method for Independent Data Sources Using Pawlak Conflict Analysis Model
PBL	The idea of a student research project as a method of preparing a student for professional and scientific work
Pedestrian flow	Characterization of pedestrian contact interaction trajectories
Pegasus WMS	A Federated Search Workflow Engine for Text Analytics Using Large-Scale BioMedical Literature
Penalized likelihood	Improving Group Lasso for high-dimensional categorical data
Penalty	Software aided approach for constrained optimization based on QAOA modifications
Peng-Robinson fluid	Component-wise and unconditionally energy-stable VT flash calculation
Performance improvement	Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules
Performance portability	Vecpar – A Framework for Portabililty and Parallelization
Permeation	Molecular dynamics study of hydrogen dissolution and diffusion in different nonmetallic pipe materials
personalization	Differential Dataset Cartography: Explainable Artificial Intelligence in Comparative Personalized Sentiment Analysis Identifying Users of IoT Wearables by Heart rate
Personalized medicine	Digital twin simulation development and execution on HPC infrastructures
Perspective distortions	Model of perspective distortions for a vision measuring system of large-diameter bent pipes
Petrov-Galerkin method	Fast solver for advection dominated diffusion using residual minimization and neural networks
phase correction	Phase Correction and Noise-to-Noise Denoising of Diffusion Magnetic Resonance Images using Neural Networks
photonic quantum computation	Simulating sparse and shallow Gaussian Boson Sampling
PHS	Oscillatory behaviour of the RBF-FD approximation accuracy under increasing stencil size
physical field reconstruction	Real-time reconstruction of complex flow in nanoporous media: linear vs non-linear decoding
Physics Informed Neural Networks	Taking a Shortcut Through Phase Space: Neural Networks Solving Differential Equations
physics-informed	Adaptive physics-informed Spectral Learning to simulate discrete Hodge–Helmholtz decomposition
Physics-informed Machine Learning	Battery voltage response prediction with physics-informed machine learning An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations
physics-informed neural networks	Replacing the FitzHugh-Nagumo electrophysiology model by physics-informed neural networks Hierarchical Learning to Solve PDEs Using Physics-Informed Neural Networks Fixed-Budget Online Adaptive Learning for Physics-Informed Neural Networks. Towards Parameterized Problem Inference.
PIES	PIES in multi-region elastic problems including body forces
PINN	Influence of activation functions on the convergence of Physics-Informed Neural Networks for 1D wave equation
Pipes measurement	Model of perspective distortions for a vision measuring system of large-diameter bent pipes
plant diseases recognition	Image Recognition of Plants and Plant Diseases with Transfer Learning and Feature Compression
plant recognition	Image Recognition of Plants and Plant Diseases with Transfer Learning and Feature Compression
Plasma Physics	Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in High-Performance Multiscale Plasma Physics Simulations
Platelet adhesion	Simulating initial steps of platelet aggregate formation in a cellular blood flow environment
Platelet aggregate stress	Simulating the Deformation and Stress Distribution of High-shear Platelet Aggregates Under Multiple Shear Flow Conditions
Platelet aggregation	Simulating initial steps of platelet aggregate formation in a cellular blood flow environment
Plates	Comparative study of meta-heuristic algorithms for damage detection problem
PLGA (poly lactic-co-glycolic acid)	Mathematical Modeling and Numerical Simulations for Drug Release from PLGA Nanoparticles
Poincare variables	Symbolic-Numeric Computation in Modeling the Dynamics of the Many-Body System TRAPPIST
point clouds	Artificial Immune Systems Approach for Surface Reconstruction of Shapes with Large Smooth Bumps
Poisson problems	Adaptive-Multilevel BDDC: A Scalable Domain Decomposition Method for Problems in Computational Mechanics
polarisation	The process of polarisation as a loss of dimensionality.
Polarity Detection	Investigating the Sentiment in Italian Long-COVID Narrations
Polish	Transferable Keyword Extraction and Generation with Text-to-Text Language Models
Polish emotion classification	Impact of text pre-processing on classification accuracy in Polish
Political Discourse	A Moral Foundations Dictionary for the European Portuguese Language: The Case of Portuguese Parliamentary Debates
Politics	An Analysis of Political Parties Cohesion based on Congressional Speeches
Polyelectrolyte Gel	Deswelling Dynamics of Chemically-Active Polyelectrolyte Gels
Polyhedron volume computation	Numerical method for 3D quantification of glenoid bone loss
Polynomial chaos expansion	Global Sensitivity Analysis Using Polynomial Chaos Expansion on the Grassmann Manifold
Pooling	Graph-level representations using ensemble-based readout functions
Popularity bias	User Popularity Preference Aware Sequential Recommendation
Popularity preference	User Popularity Preference Aware Sequential Recommendation
Poroelasticity	Two-field finite element solvers for linear and nonlinear poroelasticity problems
porous materials	Real-time reconstruction of complex flow in nanoporous media: linear vs non-linear decoding
POSMAC	Transferable Keyword Extraction and Generation with Text-to-Text Language Models
Power Grid	OptICS-EV: A Data-Driven Model for Optimal Installation of Charging Stations for Electric Vehicles
Precursors	Clustering-based Identification of Precursors of Extreme Events in Chaotic Systems
Prediction of mechanical parameters	Prediction of casting mechanical parameters based on direct microstructure image analysis using deep neural network and graphite forms classification
predictive maintenance	Resource consumption of Federated Learning approach applied on edge IoT devices in the AGV environment Creating Models for Predictive Maintenance of Field Equipment in the Oil Industry with Simulation Based Uncertainty Modelling
Prescribed Fire	Ensemble Based Learning for Automated Safety Labeling of Prescribed Fires
privacy	Alternative platforms and privacy paradox: A system dynamics analysis Identifying Users of IoT Wearables by Heart rate
Privacy paradox	Alternative platforms and privacy paradox: A system dynamics analysis
Probability	Allocation of Distributed Resources with Group Dependencies and Availability Uncertainties
Problem-solving and computational thinking	Empirical studies of students behaviour using Scottie-Go block tools to develop problem-solving experience
Process Mining	Discovering Process Models from Patient Notes
program synthesis	Fine-Tuning Large Language Models for Answering Programming Questions with Code Snippets
Programming Education	Code Semantics Learning with Deep Neural Networks: an AI-based Approach for Programming Education
propeller	Numerical simulation of propeller hydrodynamics using the open source software
prostate cancer	A Robust Machine Learning Protocol for Prediction of Prostate Cancer Survival at Multiple Time-Horizons
Psychiatric therapy	Enhanced Emotion and Sentiment Recognition for Empathetic Dialogue System Using Big Data and Deep Learning Methods
public policy	The complexities of policy, data and computational methods: Charting a new, case-based, social science grounded, AM-Smart methods approach
PubMed	A Federated Search Workflow Engine for Text Analytics Using Large-Scale BioMedical Literature
PyFEM code	Deep Learning Operator Network for Geometric Nonlinear Deformation with PyFEM
Q
QAOA	Software aided approach for constrained optimization based on QAOA modifications Solving Higher Order Binary Optimization Problems on NISQ Devices: Experiments and Limitations TAQOS: A Benchmark Protocol for Quantum Optimization Systems
QC simulation	Simulation of quantum computers on tensor streaming processors
quadratic knapsack problem	Translating Constraints into QUBOs for the Quadratic Knapsack Problem
quadratic unconstrained binary optimisation problem	Translating Constraints into QUBOs for the Quadratic Knapsack Problem
quadrilateral mesh	Numerical Solution on Nonaffine Grids by Least-Squares FEM for Convection-Dominated Problems
Quadrilateral meshes	Two-field finite element solvers for linear and nonlinear poroelasticity problems
qualitative research	Building Agent-Based Models for policy support based on Qualitative Inquiry. The case of Disaster Information Management in Jakarta, Indonesia
quantum	Sub-Exponential ML algorithm for predicting local ground state properties
quantum advantage	Simulating sparse and shallow Gaussian Boson Sampling
quantum algorithm	Double-bracket flow quantum algorithm for diagonalization
Quantum Annealing	Learning QUBO Models for Quantum Annealing: A Constraint-based Approach Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization Searching $B$-smooth numbers using quantum annealing: applications to factorization and discrete logarithm problem Solving Higher Order Binary Optimization Problems on NISQ Devices: Experiments and Limitations Determination of lower bounds of the goal function for a single machine scheduling problem on D-Wave quantum annealer TAQOS: A Benchmark Protocol for Quantum Optimization Systems Black Box Optimization Using QUBO and the Cross Entropy Method
Quantum Artificial Intelligence	GCS-Q: Quantum Graph Coalition Structure Generation
Quantum Circuits	A polynomial size model with implicit SWAP gate counting for exact qubit reordering
quantum computers	Leading the Way in European Supercomputing. User’s Opportunities and Latest Updates from the EuroHPC Joint Undertaking
Quantum Computing	Enabling Non-Linear Quantum Operations through Variational Quantum Splines GCS-Q: Quantum Graph Coalition Structure Generation Qubit: The Game. Teaching Quantum Computing through a Game-Based Approach Translating Constraints into QUBOs for the Quadratic Knapsack Problem Solving Higher Order Binary Optimization Problems on NISQ Devices: Experiments and Limitations TAQOS: A Benchmark Protocol for Quantum Optimization Systems Quantum Factory Method: A Software Engineering Approach to Deal with Incompatibilities in Quantum Libraries
quantum gate synthesis	Simulation of quantum computers on tensor streaming processors
Quantum information theory	Constructing generalized unitary group designs
Quantum Kernel	Exploring the Capabilities of Quantum Support Vector Machines for Image Classification on the MNIST Benchmark
Quantum Machine Learning	Enabling Non-Linear Quantum Operations through Variational Quantum Splines
Quantum Neural Networks	Enabling Non-Linear Quantum Operations through Variational Quantum Splines
Quantum Support Vector Machine	Exploring the Capabilities of Quantum Support Vector Machines for Image Classification on the MNIST Benchmark
quasi-commuting diagram property	Numerical Solution on Nonaffine Grids by Least-Squares FEM for Convection-Dominated Problems
Quasi-gas dynamic equations	Numerical simulation of supersonic jet noise using open source software
QUBO	Learning QUBO Models for Quantum Annealing: A Constraint-based Approach Software aided approach for constrained optimization based on QAOA modifications Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization Black Box Optimization Using QUBO and the Cross Entropy Method
Question answering	Fine-Tuning Large Language Models for Answering Programming Questions with Code Snippets Bayesian Networks for Named Entity Prediction in Programming Community Question Answering Automatic structuring of topics for natural language generation in community question answering in programming domain
QUIC-Fire	Ensemble Based Learning for Automated Safety Labeling of Prescribed Fires
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Radial Basis Function	Classification performance of Extreme Learning Machine Radial Basis Function with k-means, k-medoids and mean shift clustering algorithms
Radial Basis Function Neural Network	Radial Basis Function Neural Network with a Centers Training Stage for Prediction Based on Dispersed Image Data
Radius estimation	Radius Estimation in Angiograms using Multiscale Vesselness Function
Ramsey numbers	Applying reinforcement learning to Ramsey problems
random dot product graphs	The process of polarisation as a loss of dimensionality.
random forest	A Robust Machine Learning Protocol for Prediction of Prostate Cancer Survival at Multiple Time-Horizons
random media	A Study of Imaging in the Existence of Resonance with Multiple Scattering in Isotropic Point-Like Discrete Random Media
Range Query	Optimization and Comparison of Coordinate- and Metric-Based Indexes on GPUs for Distance Similarity Searches
Ranking	Attribute Relevance and Discretisation in Knowledge Discovery: A Study in Stylometric Domain
Rare diseases	Supervised machine learning techniques applied to medical records toward the diagnosis of rare autoimmune diseases
RBC mechanics	Towards unresolved RBC – a deformable particle model for the unresolved CFD-DEM simulation of blood flow
RBF	Spatially-varying meshless approximation method for enhanced computational efficiency
RBF-FD	Spatially-varying meshless approximation method for enhanced computational efficiency Oscillatory behaviour of the RBF-FD approximation accuracy under increasing stencil size
Readout	Graph-level representations using ensemble-based readout functions
Real-Time Inversion	Deep Learning Inversion of Geophysical Data Generated with Parametric PDEs
rebinning	A new statistical approach to image reconstruction with rebinning for the x-ray CT scanners with flying focal spot tube
recommender systems	A Method of Social Context Enhanced User Preferences for Conversational Recommender Systems
Reconstructing vibrations	Learning shape-preserving autoencoder for the reconstruction of functional data from noisy observations
Reconstruction	Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos
recurrent neural networks	Forecasting Cryptocurrency Prices using Contextual ES-adRNN with Exogenous Variables Resource consumption of Federated Learning approach applied on edge IoT devices in the AGV environment
Reduced Order Modelling	Convolutional autoencoder for the spatiotemporal latent representation of turbulence
reflexive saccades	Universal machine-learning processing pattern for computing in the video-oculography.
regression	Estimating Chlorophyll Content from Hyperspectral Data Using Gradient Features Improving Group Lasso for high-dimensional categorical data
Reinforcement learning	RL-MAGE: Strengthening Malware Detectors against Smart Adversaries Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules Applying reinforcement learning to Ramsey problems
Relative expression analysis	Hierarchical relative expression analysis in multi-omics data classification
remote sensing data	Integrating remote sensing data in an agent-based modeling of the Tigray conflict
Renewable Energy	Smart Control System for Sustainable Swimming Pools
Representation theory	Constructing generalized unitary group designs
Reputation-based consensus	Improving the Resiliency of Decentralized Crowdsourced Blockchain Oracles
Research Project System	The idea of a student research project as a method of preparing a student for professional and scientific work
research student project	The idea of a student research project as a method of preparing a student for professional and scientific work
resonance	A Study of Imaging in the Existence of Resonance with Multiple Scattering in Isotropic Point-Like Discrete Random Media
Resource	Allocation of Distributed Resources with Group Dependencies and Availability Uncertainties
resource consumption	Resource consumption of Federated Learning approach applied on edge IoT devices in the AGV environment
Resource prediction	Long-term prediction of cloud resource usage in high-performance computing
Respiratory organ	Numerical simulation of virus-laden droplets transport from lung to lung by using eighth generation airway model
Retrofitting of Buildings	Introducing a computational method to retrofit ‎damaged buildings under seismic mainshock-aftershock ‎sequence
reverse engineering	Artificial Immune Systems Approach for Surface Reconstruction of Shapes with Large Smooth Bumps
robustness	On the Impact of Noisy Labels on Supervised Classification Models
Rough Set	Multi-Granular Computing Can Predict Prodromal Alzheimer’s Disease Indications in Normal Subjects
routing	Application of genetic algorithm to load balancing in networks with a homogeneous traffic flow
Rubber calendering process	Fixed-Budget Online Adaptive Learning for Physics-Informed Neural Networks. Towards Parameterized Problem Inference.
Rule-Based Systems	Quantum Factory Method: A Software Engineering Approach to Deal with Incompatibilities in Quantum Libraries
Rules	Multi-Granular Computing Can Predict Prodromal Alzheimer’s Disease Indications in Normal Subjects
Runtime Environment Prediction	Online Runtime Environment Prediction for Complex Colocation Interference in Distributed Stream Processing
Russian natural language	RuMedSpellchecker: correcting spelling errors for natural Russian language in electronic health records using machine learning techniques
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saccade detections	Universal machine-learning processing pattern for computing in the video-oculography.
Safety	Ensemble Based Learning for Automated Safety Labeling of Prescribed Fires
SARS-CoV-2	Numerical simulation of virus-laden droplets transport from lung to lung by using eighth generation airway model
SAT	Black Box Optimization Using QUBO and the Cross Entropy Method
SAT models	Inference of over-constrained NFA of size k+1 to efficiently and systematically derive NFA of size k for grammar learning
satellite telemetry	Machine learning detects anomalies in OPS-SAT telemetry
Satisfiability	Solving (Max) 3-SAT via Quadratic Unconstrained Binary Optimization
SAX	Timeseries Anomaly Detection Using SAX and Matrix Profiles Based Longest Common Subsequence
scale-free network	The social graph based on real data
Scattered data interpolation	Biharmonic scattered data interpolation based on the Method of Fundamental Solutions
scattering	A Study of Imaging in the Existence of Resonance with Multiple Scattering in Isotropic Point-Like Discrete Random Media
Scheduling	Determination of lower bounds of the goal function for a single machine scheduling problem on D-Wave quantum annealer
school segregation	Modeling mechanisms of school segregation and policy interventions: a complexity perspective
scientific data analysis workflows	On Irregularity Localization for Scientific Data Analysis Workflows
scientific machine learning	Hierarchical Learning to Solve PDEs Using Physics-Informed Neural Networks
Scientific Software	Variable Discovery with Large Language Models for Metamorphic Testing of Scientific Software
Scientific Workflows	A Federated Search Workflow Engine for Text Analytics Using Large-Scale BioMedical Literature
SDN	Application of genetic algorithm to load balancing in networks with a homogeneous traffic flow
sea ice	Using machine learning, data assimilation and their combination to improve a new generation of Arctic sea-ice models
second-largest cluster	Strokes and the brain's criticality viewed through the lens of network models
second-order elliptic problem	Numerical Solution on Nonaffine Grids by Least-Squares FEM for Convection-Dominated Problems
Second–order CA	CA-based Collective Behavior Approach to Solve Coverage and Lifetime Optimization Problems in Wireless Sensor Networks
Secular perturbations	Symbolic-Numeric Computation in Modeling the Dynamics of the Many-Body System TRAPPIST
self-adapting networks	Application of genetic algorithm to load balancing in networks with a homogeneous traffic flow
Self-distillation	A Contrastive Self-Distillation BERT with Kernel Alignment-Based Inference
Self-supervised learning	Self-supervised Deep Heterogeneous Graph Neural Networks with Contrastive Learning
Semantic Hashing	Semantic Hashing to Remedy Uncertainties in Ontology-Driven Edge Computing
sEMG signal classification	Tensor Train Subspace Analysis for Classification of Hand Gestures with Surface EMG Signals
Semi-supervised learning	Semi-supervised Learning Approach to Efficient Cut Selection in the Branch-and-Cut Framework
sensitivity analysis	Sensitivity Analysis of Blood Flow in Abdominal Aortic Aneurysms by Lattice Boltzmann Method Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in High-Performance Multiscale Plasma Physics Simulations
sensors	Cyber-physical system supporting the production technology of steel mill products based on ladle furnace tracking and sensor networks
Sentence-transformers	Comparative analysis of community detection and transformer-based approaches for topic clustering of scientific papers
Sentiment Analysis	Differential Dataset Cartography: Explainable Artificial Intelligence in Comparative Personalized Sentiment Analysis Sentiment Analysis Using Machine Learning Approach Based on Feature Extraction for Anxiety Detection TwitterEmo: Annotating Emotions and Sentiment in Polish Twitter Investigating the Sentiment in Italian Long-COVID Narrations
Sentimental analysis	Human-Sensors & Physics awared Machine Learning for Wildfire Detection and Nowcasting
Sequential decision making	Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules
Sequential recommendation	User Popularity Preference Aware Sequential Recommendation
sequential sampling	Efficient uncertainty quantification using sequential sampling-based neural networks Constrained aerodynamic shape optimization using neural networks and sequential sampling
Shape-preservation	Learning shape-preserving autoencoder for the reconstruction of functional data from noisy observations
shareable non-fungible tokens (sNFT)	Elements of Antirival Accounting with Shareable Non-Fungible Tokens
ship weather routing	Surrogate-Assisted Ship Route Optimisation
Siamese Autoencoder	Siamese Autoencoder-based Approach for Missing Data Imputation
simulated annealing	Dynamic core binding for load balancing of applications parallelized with MPI/OpenMP Translating Constraints into QUBOs for the Quadratic Knapsack Problem
Simulation	Elements of Antirival Accounting with Shareable Non-Fungible Tokens Deswelling Dynamics of Chemically-Active Polyelectrolyte Gels
simulation-based forecasts	Building Robust Simulation-based Forecasts During Emergencies
simulation-based optimisation	Surrogate-Assisted Ship Route Optimisation
simulations	ML-based proactive control of industrial processes
Single-phase Flow	Unconditionally Energy-Stable SPH Methods for Incompressible Single-Phase and Two-Phase Flows
Singular Value Decomposition	A framework for modelling temporal networks using singular value decomposition and symbolic regression
SLAM	SLAM methods for Augmented Reality systems for flight simulators
small-world	The social graph based on real data
smart cities	Towards Automatic Generation of Digital Twins: Graph-based Integration of Smart City Datasets
Smart City	Cloud Native approach to the implementation of an environmental monitoring system for Smart City based on IoT devices
smart production	Resource consumption of Federated Learning approach applied on edge IoT devices in the AGV environment
Smoothed Particle Hydrodynamics	Unconditionally Energy-Stable SPH Methods for Incompressible Single-Phase and Two-Phase Flows
Sobol' indices	Global Sensitivity Analysis Using Polynomial Chaos Expansion on the Grassmann Manifold
social bot classification with images	From Online Behaviours to Images: A Novel Approach to Social Bot Detection
social bot detection	From Online Behaviours to Images: A Novel Approach to Social Bot Detection
Social Computing	An Approach for Probabilistic Modeling and Reasoning of Political Networks
social context	A Method of Social Context Enhanced User Preferences for Conversational Recommender Systems
Social Intelligence	Ontological Modelling and Social Network: from expert validation to consolidated domains
Social media	Alternative platforms and privacy paradox: A system dynamics analysis
Social Media Platforms	Toxicity in Evolving Twitter Topics
social media usage behaviour	Exploring Counterfactual Explanations for Predicting Student Success
Social Network	The social graph based on real data Ontological Modelling and Social Network: from expert validation to consolidated domains
social network analysis	Longitudinal Analysis of the Topology of Criminal Networks using a Simple Cost-Benefit Agent-Based Model
social networks	An Analysis of Political Parties Cohesion based on Congressional Speeches The process of polarisation as a loss of dimensionality.
social opportunity	Longitudinal Analysis of the Topology of Criminal Networks using a Simple Cost-Benefit Agent-Based Model
Soft Label	ATS: A Fully Automatic Troubleshooting System with Efficient Anomaly Detection and Localization
Softmax alternative	r-softmax: Generalized Softmax with Controllable Sparsity Rate
Software Engineering	Code Semantics Learning with Deep Neural Networks: an AI-based Approach for Programming Education Quantum Factory Method: A Software Engineering Approach to Deal with Incompatibilities in Quantum Libraries
Solar activity analysis	Sun Magnetograms Retrieval From Vast Collections Through Small Hash Codes
Solar image description	Sun Magnetograms Retrieval From Vast Collections Through Small Hash Codes
Sound Analysis	Tempo and Time Signature Detection of a Musical Piece
source space analysis	Resting State Brain Connectivity analysis from EEG and FNIRS signals
space plasma	Implementation of Coupled Numerical Analysis of Magnetospheric Dynamics and Spacecraft Charging Phenomena via Code-To-Code Adapter (CoToCoA) Framework
space-time domain decomposition	A space-time multiscale mortar mixed finite element method for flow in porous media
space-time formulation	Least-squares space-time formulation for advection-diffusion problem with efficient adaptive solver based on matrix compression
spacecraft charging	Implementation of Coupled Numerical Analysis of Magnetospheric Dynamics and Spacecraft Charging Phenomena via Code-To-Code Adapter (CoToCoA) Framework
Spanish	Named Entity Recognition for De-identifying Real-World Health Records in Spanish
Sparse Identification of Nonlinear Dynamics	Battery voltage response prediction with physics-informed machine learning
Sparse prediction	Improving Group Lasso for high-dimensional categorical data
Sparse probability function	r-softmax: Generalized Softmax with Controllable Sparsity Rate
Spatial Prisoner’s Dilemma	CA-based Collective Behavior Approach to Solve Coverage and Lifetime Optimization Problems in Wireless Sensor Networks
spatial programming	Simulation of quantum computers on tensor streaming processors
Spectral Clustering	The Emergence of an European Consensus: A Data-Driven Analysis of UN General Assembly Voting Patterns
Speech Emotions	Multimodal Emotion Classification Supported in the Aggregation of Pre-Trained classification models
spell checking	RuMedSpellchecker: correcting spelling errors for natural Russian language in electronic health records using machine learning techniques
spelling correction	Handwriting Analysis AI-based System for Assisting People with Dysgraphia
squares	Parallel Triangles and Squares Count for Multigraphs using Vertex Covers
stability	Numerical Solution on Nonaffine Grids by Least-Squares FEM for Convection-Dominated Problems
Stack Overflow	Automatic structuring of topics for natural language generation in community question answering in programming domain
State of Charge	SocHAP: a new data driven explainable prediction of battery state of charge
Statistical Analyzes	A web portal for real-time data quality analysis on the Brazilian Tuberculosis Research Network: A Case Study
Statistical Extractor	Improving LocalMaxs Multiword Expression Statistical Extractor
statistical method	A new statistical approach to image reconstruction with rebinning for the x-ray CT scanners with flying focal spot tube
steelmaking automation	Cyber-physical system supporting the production technology of steel mill products based on ladle furnace tracking and sensor networks
Stencil	Oscillatory behaviour of the RBF-FD approximation accuracy under increasing stencil size
Stochastic Methods	A Bayesian Optimization through Sequential Monte Carlo and Statistical Physics-Inspired Techniques
stop criterion	Rules' Quality Generated by the Classification Method for Independent Data Sources Using Pawlak Conflict Analysis Model
Stopwords	Improving LocalMaxs Multiword Expression Statistical Extractor
Storage	Toward the Human Nanoscale Connectome: Neuronal Morphology Format, Modeling, and Storage Requirement Estimation
Stress	Excessive Internet Use in the Organizational Context: A Proposition of the New Instrument to Measure Cyberloafing at Work
strokes	Strokes and the brain's criticality viewed through the lens of network models
structural complexity	Does complex mean accurate: comparing COVID-19 propagation models with different structural complexity
Structural Health Monitoring	Combining Deep Learning and Computational Mechanics in structural damage assessment under environmental and operational variability
Structure Health Monitoring (SHM)	Comparative study of meta-heuristic algorithms for damage detection problem
Student success prediction	Exploring Counterfactual Explanations for Predicting Student Success
Stylometry	Attribute Relevance and Discretisation in Knowledge Discovery: A Study in Stylometric Domain
Subdiffusive motion	Characterization of pedestrian contact interaction trajectories
Supervised Learning Methods	Multi-objective Quantum-inspired Genetic Algorithm for Supervised Learning of Deep Classification Models
Supervised machine learning	On the Impact of Noisy Labels on Supervised Classification Models Smart Head-mount Obstacle Avoidance Wearable for the Vision Impaired
supOU Processes	Distributionally-Robust Optimization for Sustainable Exploitation of the Infinite-dimensional Superposition of Affine Processes with an Application to Fish Migration
Supply Chain	Simulation-Based Optimisation Model as an Element of a Digital Twin Concept for Supply Chain Inventory Control
surface	Global optimisation for improved volume tracking of time-varying meshes
surface reconstruction	Artificial Immune Systems Approach for Surface Reconstruction of Shapes with Large Smooth Bumps
surrogate model	Surrogate-Assisted Ship Route Optimisation
surrogate modeling	Low-Cost Behavioral Modeling of Antennas by Dimensionality Reduction and Domain Confinement
Surrogate Modelling	Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in High-Performance Multiscale Plasma Physics Simulations
survey	Analyzing the Attitudes of Consumers to Electric Vehicles Using Bayesian Networks
Survey Analysis	Manifold Analysis for High-Dimensional Socio-Environmental Surveys
survey data preprocessing	Quantifying Parking Difficulty with Transport and Prediction Models for Travel Mode Choice Modelling
SVD	Least-squares space-time formulation for advection-diffusion problem with efficient adaptive solver based on matrix compression Real-time reconstruction of complex flow in nanoporous media: linear vs non-linear decoding
SWAP gate	A polynomial size model with implicit SWAP gate counting for exact qubit reordering
symbolic calculation	Symbolic calculation behind floating-point arithmetic: didactic examples and experiment using CAS
Symbolic Regression	A framework for modelling temporal networks using singular value decomposition and symbolic regression
Synaptome	Toward the Human Nanoscale Connectome: Neuronal Morphology Format, Modeling, and Storage Requirement Estimation
Syntactic structures	Constituency Parsing with Spines and Attachments
synthetic networks	Structural Validation Of Synthetic Power Distribution Networks Using The Multiscale Flat Norm
Synthetic Population	OptICS-EV: A Data-Driven Model for Optimal Installation of Charging Stations for Electric Vehicles
system dynamics	Alternative platforms and privacy paradox: A system dynamics analysis Elements of Antirival Accounting with Shareable Non-Fungible Tokens
System Identification	An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations
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t-SNE	Manifold Analysis for High-Dimensional Socio-Environmental Surveys
T5 language model	Transferable Keyword Extraction and Generation with Text-to-Text Language Models
Tactical conflict management	Feasibility and performance benefits of directional force fields for the tactical conflict management of UAVs
task-based scheduling	Improving the Performance of Task-based Linear Algebra Software with Autotuning Techniques on Heterogeneous Architectures
Tempo	Tempo and Time Signature Detection of a Musical Piece
Temporal Network	A framework for modelling temporal networks using singular value decomposition and symbolic regression
tensor expressions	Compiling Tensor Expressions into Einsum
tensor streaming processor	Simulation of quantum computers on tensor streaming processors
tensor subspace analysis	Tensor Train Subspace Analysis for Classification of Hand Gestures with Surface EMG Signals
tensor train decomposition	Tensor Train Subspace Analysis for Classification of Hand Gestures with Surface EMG Signals
Text Analysis	A Federated Search Workflow Engine for Text Analytics Using Large-Scale BioMedical Literature
text correction	Handwriting Analysis AI-based System for Assisting People with Dysgraphia RuMedSpellchecker: correcting spelling errors for natural Russian language in electronic health records using machine learning techniques
Text Feature Extraction	Sentiment Analysis Using Machine Learning Approach Based on Feature Extraction for Anxiety Detection
Text generation	Automatic structuring of topics for natural language generation in community question answering in programming domain
Text Mining	A Moral Foundations Dictionary for the European Portuguese Language: The Case of Portuguese Parliamentary Debates Sentiment Analysis Using Machine Learning Approach Based on Feature Extraction for Anxiety Detection Discovering Process Models from Patient Notes
Text pre-processing	Impact of text pre-processing on classification accuracy in Polish
Text-based emotion recognition	Enhanced Emotion and Sentiment Recognition for Empathetic Dialogue System Using Big Data and Deep Learning Methods
The Cahn-Hilliard equation	Unconditionally Energy-Stable SPH Methods for Incompressible Single-Phase and Two-Phase Flows
The Navier-Stokes equation	Unconditionally Energy-Stable SPH Methods for Incompressible Single-Phase and Two-Phase Flows
Thermal Infrared Image	Wildfire Perimeter Detection via Iterative Trimming Method
Thermal stability	Adsorption Characteristics and Thermal Stability of Hy-drogen Termination on Diamond Surface：A first-principles study
Thermocapillarity	DNS of thermocapillary migration of a bi-dispersed suspension of droplets
Thrombosis	Simulating initial steps of platelet aggregate formation in a cellular blood flow environment
thrust forces	Numerical simulation of propeller hydrodynamics using the open source software
Time series classification	Reduction of the computational cost of tuning methodology of a simulator of a physical system.
Time Signature	Tempo and Time Signature Detection of a Musical Piece
Time-delayed systems	Data-driven stability analysis of a chaotic time-delayed system
Time-varying mesh	Global optimisation for improved volume tracking of time-varying meshes
Topic clustering	Comparative analysis of community detection and transformer-based approaches for topic clustering of scientific papers
Topic Evolution	Toxicity in Evolving Twitter Topics
Topic modeling	Automatic structuring of topics for natural language generation in community question answering in programming domain Investigating the Sentiment in Italian Long-COVID Narrations The Emergence of an European Consensus: A Data-Driven Analysis of UN General Assembly Voting Patterns
Topic Modelling	Toxicity in Evolving Twitter Topics
Trace Theory	Parallel algorithm for concurrent integration of three-dimensional B-spline functions
tracking	Global optimisation for improved volume tracking of time-varying meshes
Trading environment	Global network of biofuel feedstock commodity futures
traffic classification	Payload Level Graph Attention Network for Web Attack Traffic Detection
Traffic Flow	Multi-agent cellular automaton model for traffic flow considering the heterogeneity of human delay and accelerations
transfer learning	DeBERTNeXT: A Multimodal Fake News Detection framework Image Recognition of Plants and Plant Diseases with Transfer Learning and Feature Compression Phase Correction and Noise-to-Noise Denoising of Diffusion Magnetic Resonance Images using Neural Networks
transformers	RuMedSpellchecker: correcting spelling errors for natural Russian language in electronic health records using machine learning techniques
Transport	Mathematical Modeling and Numerical Simulations for Drug Release from PLGA Nanoparticles
travel mode choices	Quantifying Parking Difficulty with Transport and Prediction Models for Travel Mode Choice Modelling
triangles	Parallel Triangles and Squares Count for Multigraphs using Vertex Covers
Troubleshooting	ATS: A Fully Automatic Troubleshooting System with Efficient Anomaly Detection and Localization
Tsunami	ITS4Tsunamis: An Intelligent Transportation System for Tsunamis Combining CEP, CPN and Fuzzy Logic
Tuberculosis	A web portal for real-time data quality analysis on the Brazilian Tuberculosis Research Network: A Case Study
Tuning methodology	Reduction of the computational cost of tuning methodology of a simulator of a physical system.
Twitter	Toxicity in Evolving Twitter Topics
Twitter bot classification	From Online Behaviours to Images: A Novel Approach to Social Bot Detection
Twitter bot detection	From Online Behaviours to Images: A Novel Approach to Social Bot Detection
two-body	A Study of Imaging in the Existence of Resonance with Multiple Scattering in Isotropic Point-Like Discrete Random Media
Two-phase Flow	Unconditionally Energy-Stable SPH Methods for Incompressible Single-Phase and Two-Phase Flows
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UAV	Feasibility and performance benefits of directional force fields for the tactical conflict management of UAVs
un-typical daily profiles	Detection of Anomalous Days in Energy Demand using Leading Point Multi-Regression Model
Uncertainty	Solving uncertainly defined curvilinear potential 2D BVPs by the IFPIES Allocation of Distributed Resources with Group Dependencies and Availability Uncertainties Ontological Modelling and Social Network: from expert validation to consolidated domains Fuzzy solutions of boundary problems using interval parametric integral equations system Quantum Factory Method: A Software Engineering Approach to Deal with Incompatibilities in Quantum Libraries CNN-based Quantifcation of Blood Vessels Lumen in 3D Images
Uncertainty Quantification	Influence of the capillaries bed in hyperthermia for cancer treatment Efficient uncertainty quantification using sequential sampling-based neural networks Hemodynamics of the coarctation of the aorta: a Lattice Boltzmann Study Sensitivity Analysis of Blood Flow in Abdominal Aortic Aneurysms by Lattice Boltzmann Method Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in High-Performance Multiscale Plasma Physics Simulations
Undergraduate Engineering Students	Towards an Earned Value Management Didactic Simulation Tool to Engineering Management Teaching
UNESCO	Automating the Analysis of Institutional Design in International Agreements
uniform distribution	A New Algorithm for the Closest Pair of Points for Very Large Data Sets using Exponent Bucketing and Windowing
Unitary t-designs	Constructing generalized unitary group designs
United Nations	The Emergence of an European Consensus: A Data-Driven Analysis of UN General Assembly Voting Patterns
United Nations Security Council	Towards a Better Understanding of Multilateral Consensus Making: Analyzing the Complex Network of UN Security Council and WHO Resolutions
university education	Analysis of outcomes from the gamification of a collaboration intensive course on computer networking basics
university-industry cooperation	The idea of a student research project as a method of preparing a student for professional and scientific work
unmanned aerial vehicle	3D tracking of multiple drones based on Particle Swarm Optimization
unplugged gamification	Analysis of outcomes from the gamification of a collaboration intensive course on computer networking basics
unresolved CFD-DEM	Towards unresolved RBC – a deformable particle model for the unresolved CFD-DEM simulation of blood flow
Unstructured Conservative Level-Set Method	Unstructured conservative level-set (UCLS) simulations of film boiling heat transfer DNS of thermocapillary migration of a bi-dispersed suspension of droplets
unstructured finite-element method	Development of 3D viscoelastic crustal deformation analysis solver with data-driven method on GPU
Unstructured Flux-Limiters	Unstructured conservative level-set (UCLS) simulations of film boiling heat transfer DNS of thermocapillary migration of a bi-dispersed suspension of droplets
Unstructured Meshes	Unstructured conservative level-set (UCLS) simulations of film boiling heat transfer DNS of thermocapillary migration of a bi-dispersed suspension of droplets
Unsupervised Inversion	Learning 4DVAR inversion directly from observations
Unsupervised learning	The Emergence of an European Consensus: A Data-Driven Analysis of UN General Assembly Voting Patterns
urban mobility	Prediction of Urban Population-Facilities Interactions with Graph Neural Network
Urban scale	Downscaling WRF-Chem: Analyzing urban air quality in Barcelona city
user preference	A Method of Social Context Enhanced User Preferences for Conversational Recommender Systems
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VADER	Investigating the Sentiment in Italian Long-COVID Narrations
Validation methods	How to select superior Neural Network simulating inner city contaminant transport? Verification and validation techniques.
Vapor-Liquid Phase Change	Unstructured conservative level-set (UCLS) simulations of film boiling heat transfer
variable resolution models	Expedited Metaheuristic-Based Antenna Optimization Using EM Model Resolution Management
Variable Surface Tension	DNS of thermocapillary migration of a bi-dispersed suspension of droplets
variational diagonalization	Double-bracket flow quantum algorithm for diagonalization
variational model	Learning Neural Optimal Interpolation Models and Solvers
Variational Splitting	The first scientiffic evidence for the hail cannon
Varying Environmental and Operational Conditions	Combining Deep Learning and Computational Mechanics in structural damage assessment under environmental and operational variability
Vessel segmentation	Cerebral vessel segmentation in CE-MR images using deep learning and synthetic training datasets
Vesselness function	Radius Estimation in Angiograms using Multiscale Vesselness Function
Vicon	3D tracking of multiple drones based on Particle Swarm Optimization
video oculometry	Universal machine-learning processing pattern for computing in the video-oculography.
Virtual Tour	A Framework for Effective Guided Mnemonic Journeys
viscoelastic analysis	Development of 3D viscoelastic crustal deformation analysis solver with data-driven method on GPU
vision processing	Cyber-physical system supporting the production technology of steel mill products based on ladle furnace tracking and sensor networks
Vision system	Model of perspective distortions for a vision measuring system of large-diameter bent pipes
Vision Transformer	An efficient ViT-based spatial interpolation learner for field reconstruction
Vivado	Minimal Path Delay Leading Zero Counters on Xilinx FPGAs
VLSI	A Hypergraph Model and Associated Optimization Strategies for Path Length-Driven Netlist Partitioning
Volume-temperature (VT) flash	Component-wise and unconditionally energy-stable VT flash calculation
Voting	Improving the Resiliency of Decentralized Crowdsourced Blockchain Oracles
Voting Networks	An Approach for Probabilistic Modeling and Reasoning of Political Networks
Voting pattern	The Emergence of an European Consensus: A Data-Driven Analysis of UN General Assembly Voting Patterns
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wake dynamics	Numerical simulation of propeller hydrodynamics using the open source software
wave propagation	A Study of Imaging in the Existence of Resonance with Multiple Scattering in Isotropic Point-Like Discrete Random Media
wave-equations	Influence of activation functions on the convergence of Physics-Informed Neural Networks for 1D wave equation
Weak formulations	On the weak formulations of the Multipoint meshless FDM
Weak Galerkin	Two-field finite element solvers for linear and nonlinear poroelasticity problems
wearables	Identifying Users of IoT Wearables by Heart rate
Weather Prediction	Automated identification and location of three dimensional atmospheric frontal systems
web attack	Payload Level Graph Attention Network for Web Attack Traffic Detection
Web Portal	A web portal for real-time data quality analysis on the Brazilian Tuberculosis Research Network: A Case Study
weighted Hamming metric	Weighted Hamming Metric and KNN Classification of Nominal-Continuous Data
Weighted Networks	An Approach for Probabilistic Modeling and Reasoning of Political Networks
Wildfire Perimeter	Wildfire Perimeter Detection via Iterative Trimming Method
Wildfires	Human-Sensors & Physics awared Machine Learning for Wildfire Detection and Nowcasting
willingness to pay	Analyzing the Attitudes of Consumers to Electric Vehicles Using Bayesian Networks
Wind farm layout optimization	Bayesian optimization of the layout of wind farms with a high-fidelity surrogate model
Wireless sensor networks	CA-based Collective Behavior Approach to Solve Coverage and Lifetime Optimization Problems in Wireless Sensor Networks
Work Performance	Excessive Internet Use in the Organizational Context: A Proposition of the New Instrument to Measure Cyberloafing at Work
Work Satisfaction	Excessive Internet Use in the Organizational Context: A Proposition of the New Instrument to Measure Cyberloafing at Work
workflow	Classification of Hybrid Quantum-Classical Computing
World Health Organisation	Towards a Better Understanding of Multilateral Consensus Making: Analyzing the Complex Network of UN Security Council and WHO Resolutions
WRF-Chem	Downscaling WRF-Chem: Analyzing urban air quality in Barcelona city
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X-ray computed tomography	A new statistical approach to image reconstruction with rebinning for the x-ray CT scanners with flying focal spot tube
xgboost	A Robust Machine Learning Protocol for Prediction of Prostate Cancer Survival at Multiple Time-Horizons
Y
YOLOv5	Detection of objects dangerous for the operation of mining machines