ICCS 2024: INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE

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

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3D representation	Application of Neural Graphics Primitives Models for 3D Representation of Devastation Caused by Russian Aggression in Ukraine
3D shape completion	Data-driven 3D shape completion with product units
A
a posteriori error estimation	On Estimation of Numerical Solution in Prager&Synge Sense
A* search	Efficient Search Algorithms for the Restricted Longest Common Subsequence Problem
Accelerated Drug Discovery	Accelerating Drug Discovery by Combining Machine-Learning and Physics-Based Methods
Action potential	Simulation of Human Walking Avoiding Obstacles in an Individual with Motor Disability using a Deep Learning by Reinforcement Model
Active Learning	Active learning on ensemble machine-learning model to retrofit buildings under seismic mainshock-aftershock sequence Accelerating Drug Discovery by Combining Machine-Learning and Physics-Based Methods
acute ischemic stroke	Towards Digital Twins in Healthcare (and some reflections on Computational Science)
adaptive finite element	Adaptive multi-level algorithm for nonlinear problems
Adaptive sampling	Adaptive Sampling for Non-intrusive Reduced Order Models Using Multi-Task Variance
Adaptivity	Investigating Guiding Information for Adaptive Collocation Point Sampling in PINNs
ADIOS2	DAI: How pre-computation speeds up data analysis
Adjoint methods	Adjoint Sensitivities of Chaotic Flows without Adjoint Solvers: A Data-Driven Approach
Advection-Dominated Problems	Physics-Informed Neural Network with Adaptive Mesh Refinement
aerosol	Plasma-assisted air cleaning decreases COVID-19 infections in a primary school: Modelling and experimental data
Affective Computing	Towards a Framework for Multimodal Creativity States Detection from Emotion, Arousal, and Valence
Affective Human Machine interaction	Towards a Framework for Multimodal Creativity States Detection from Emotion, Arousal, and Valence
agent based model	A Conceptual Approach to Agent-Based Modelling of Coping Mechanisms in Climate-Driven Flooding in Bangladesh
Agent based modeling	A "Virtual Clinical Trial” for evaluation of intelligent monitoring of exacerbation level for COPD patients
agent based simulation	Towards a Next Generation Simulation Platform for Vehicle Electrification Planning
Agent-Based Modeling and Simulation (ABMS)	Agent Based Simulation as an effective way for HPC I/O system tuning
Agent-based Modelling	Predicting Forced Migration Movements: A Sensitivity Analysis Approach Towards exascale agent-based modelling for policy evaluation in real-time
agent-based simulation	Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making
AI/ML	Unleashing the Potential of Mixed Precision in AI-Accelerated CFD Simulation on Intel CPU/GPU Architectures
air cleaning	Plasma-assisted air cleaning decreases COVID-19 infections in a primary school: Modelling and experimental data
Air Pollution	Automated prediction of air pollution conditions in environment monitoring systems
Algebraic expressions	Optimizing Quantum Circuits using Algebraic Expressions
Algorithm	Parameter Tuning of the Firefly Algorithm by Standard Monte Carlo and Quasi-Monte Carlo Methods
Algorithm complexity	A New Highly Efficient Preprocessing Algorithm for Convex Hull, Maximum Distance and Minimal Bounding Circle in E2: Efficiency Analysis
Algorithmic Information Theory	Bridging Machine Learning, Dynamical Systems, and Algorithmic Information Theory: Insights from Sparse Kernel Flows and PDE Simplification
Allergy Diseases	Network Model with Application to Allergy Diseases
AMReX	Implementation of the QGD algorithm using AMR technology and GPU parallel computing
Analytical solution of eigenvalue problem \and	BiWeighted Regular Grid Graphs - A New Class of Graphs for Which Graph Spectral Clustering is Applicable in Analytical Form
anechoic chamber	Accurate Post-Processing of Spatially-Separated Antenna Measurements Realized in Non-Anechoic Environments
Anomaly Detection	Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Data Enhancing the Parallel UC2B Framework: Approach Validation and Scalability Study Visual Explanations and Perturbation-Based Fidelity Metrics for Feature-Based Models Towards efficient deep autoencoders for multivariate time series anomaly detection
Antenna calibration	Multitaper-Based Post-Processing of Compact Antenna Responses Obtained in Non-Anechoic Conditions
antenna design	Expedited Machine-Learning-Based Global Design Optimization of Antenna Systems Using Response Features and Multi-Fidelity EM Analysis Specification-Oriented Automatic Design of Topologically Agnostic Antenna Structure Miniaturization-Oriented Design of Spline-Parameterized UWB Antenna for In-Door Positioning Applications TR-Based Antenna Design with Forward FD: the Effects of Step Size on the Optimization Performance
antenna measurements	Accurate Post-Processing of Spatially-Separated Antenna Measurements Realized in Non-Anechoic Environments
Apple Silicon	Exploring Apple Silicon's Potential from Simulation and Optimization Perspective
APT malware	From Fine-grained to Refined: APT Malware Knowledge Graph Construction and Attribution Analysis Driven by Multi-stage Graph Computation
archaeology	Evaluating R-CNN and YOLO V8 for Megalithic Monument Detection in Satellite Images
ARCHER2	Comparison of code coupling methodologies using HemeLB for blood flow simulations
Arrhythmia	Focal-based Deep Learning model for automatic arrhythmia diagnosis
Artificial Intelligence	Determining of mouse behavior based on brain neuron activity data Application of Neural Graphics Primitives Models for 3D Representation of Devastation Caused by Russian Aggression in Ukraine Deep neural networks for assessing financial status of companies: Binary and Multi-class approach Accelerating Drug Discovery by Combining Machine-Learning and Physics-Based Methods
Artificial Intelligence \and	BiWeighted Regular Grid Graphs - A New Class of Graphs for Which Graph Spectral Clustering is Applicable in Analytical Form
Artificial intelligence models	Uncertainty quantification for high dimensional parameter spaces: physics-based versus AI models
artificial neural network	Calculation of the Sigmoid Activation Function in FPGA Using Rational Fractions EsmTemp - Transfer Learning Approach for Predicting Protein Thermostability
Artificial Neural Networks	Combining Convolution and Involution for the Early Prediction of Chronic Kidney Disease Goal-Oriented Adaptivity Using Artificial Neural Networks
Artificial Objects	Fragmented Image Classification Using Local and Global Neural Networks: Investigating the Impact of the Quantity of Artificial Objects on Model Performance
Astrometry	Direct Solver Aiming at Elimination of Systematic Errors in 3D Stellar Positions
Asymptotic parallel linear solver	An Asymptotic Parallel Linear Solver and Its Application to Direct Numerical Simulation for Compressible Turbulence
Atlas	Modeling 3D Surfaces with a Locally Conditioned Atlas
attribution analysis	From Fine-grained to Refined: APT Malware Knowledge Graph Construction and Attribution Analysis Driven by Multi-stage Graph Computation
AUC-PALM	Visual Explanations and Perturbation-Based Fidelity Metrics for Feature-Based Models
augmented reality	Analysis of Marker and SLAM-based Tracking for Advanced Augmented Reality (AR)-based Flight Simulation Fast simulations in augmented reality
AutoDL	Evolutionary Neural Architecture Search for 2D and 3D Medical Image Classification
Autoencoder	Design Considerations for Denoising Quantum Time-Series Autoencoder
Autoencoders	Towards efficient deep autoencoders for multivariate time series anomaly detection
automated guided vehicles	Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Data
Automatic Data Augmentation	Evolutionary Neural Architecture Search for 2D and 3D Medical Image Classification
automatic differentiation	Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making
AutoML	Evolutionary Neural Architecture Search for 2D and 3D Medical Image Classification
Avatar 3D	NeRFlame: Flame-based conditioning of NeRF for 3D face rendering
AVX-512	Parallel Vectorized Algorithms for Computing Trigonometric Sums Using AVX-512 Extensions
B
B-smooth numbers	Elliptic-curve factorization and witnesses
Backward characteristics method	A backward-characteristics monotonicity preserving method for stiff transport problems
Backward differentiation formula (BDF2)	A backward-characteristics monotonicity preserving method for stiff transport problems
Bangladesh	A Conceptual Approach to Agent-Based Modelling of Coping Mechanisms in Climate-Driven Flooding in Bangladesh
Baroreflex	Local sensitivity analysis of a closed-loop in silico model of the human baroregulation.
Battery	SOCXAI: Leveraging CNN and SHAP Analysis for Battery SOC Estimation and Anomaly Detection
Bayesian Methods	Uncertainty Quantification at the Exascale
Bayesian Network	Network Model with Application to Allergy Diseases
Beam search	Efficient Search Algorithms for the Restricted Longest Common Subsequence Problem
Bezier curve	Enhancing the realism of wildfire simulation using Composite Bézier curves
BiCGStab	Robustness and Accuracy in Pipelined Biconjugate Gradient Stabilized Method: A Comparative Study
big data	Big Data Assimilation Revolutionizing Numerical Weather Prediction Using Fugaku
Big Data Analytics	Combining Convolution and Involution for the Early Prediction of Chronic Kidney Disease
Binary mixtures	Capillary pressure of binary mixtures in porous media: a pore-scale simulation study
Binary Question Answering	Large Language Models for Binary Health-Related Question Answering: A Zero- and Few-Shot Evaluation
Bindings	MPI4All: Universal Binding Generation for MPI Parallel Programming
bio-inspired algorithms	Expedited Machine-Learning-Based Global Design Optimization of Antenna Systems Using Response Features and Multi-Fidelity EM Analysis
Biodegradation	Probing the Interface: Molecular Simulations of Protein-Material Interactions
Biofouling	Probing the Interface: Molecular Simulations of Protein-Material Interactions
Bioinformatics	Data augmentation to improve molecular subtype prognosis prediction in breast cancer A method for inferring candidate Disease-Disease Associations Exploiting medical-expert knowledge via a novel memetic algorithm for the inference of gene regulatory networks
Biological graphs	Fact-Checking Generative AI: Ontology-Driven Biological Graphs for Disease-Gene Link Verification
biomarkers	EnsembleFS: an R toolkit and a web-based tool for a filter ensemble feature selection of molecular omics data
Biomedical text mining	ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish
Biomedicine	Computational Biomedicine Exascale Engagement Overview of the CombBioMed Project
blackline width	Optimizing Prescribed Burn Risk Management: A Computational and Economic Modeling Approach Using QUIC FIRE Simulations
Blood flow simulation	Comparison of code coupling methodologies using HemeLB for blood flow simulations Preparing a Code for the Exascale - Porting HemeLB to GPU
Bluetooth	Unsafe mechanisms of Bluetooth, E0 stream cipher cryptanalysis with quantum annealing
boundary element method	A Comprehensive Approach to Multiscale Boundary Element Modelling of Damage in Polycrystalline Materials
Boundary-value Problems	GPU-Accelerated Finite-Difference Time-Domain Solver for Electromagnetic Differential Equations
brain	Determining of mouse behavior based on brain neuron activity data
Brain Network	A pipeline for the Analysis of Multilayer Brain Networks
Brain networks	Neural Dynamics in Parkinson's Disease: Integrating Machine Learning and Stochastic Modelling with Connectomic data
Brain Tumor Segmentation	Brain Tumor Segmentation Using Ensemble CNN-Transfer Learning Models: DeepLabV3plus and ResNet50 Approach
Brain-Inspired Neural Networks	From Complexity to Simplicity: Brain-Inspired Modularization of PINN Solvers
Breast Cancer	Data augmentation to improve molecular subtype prognosis prediction in breast cancer
Breast Cancer Detection	Enhancing Breast Cancer Diagnosis: a CNN-based Approach for Medical Image Segmentation and Classification
Bulk RNA	A Multi-Domain Multi-Task Approach for Feature Selection from Bulk RNA Datasets
Bézier Surfaces	Elimination of Computing Singular Surface Integrals in the PIES Method through Regularization for Three-Dimensional Potential Problems
C
calibration	Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making
call processing performance	Simulation Model for Application of the SDN Concept in IMS/NGN Network Transport Stratum
Capillary pressure	Capillary pressure of binary mixtures in porous media: a pore-scale simulation study
Carbon footprint	Sustainability in the Digital Age: Assessing the Carbon Footprint of E-Commerce Platforms
Carbon nanotubes	Unwinding DNA Strands by Single-Walled Carbon Nanotubes: Molecular docking and MD simulation approach
Cardiac heartbeat	Focal-based Deep Learning model for automatic arrhythmia diagnosis
Cascade of classifiers	Cascade training as a tree search with Dijkstra's algorithm
case-based complexity	Using case-based systems mapping for policy evaluation: A case study using policy data on urban planning
categorical data	PCA dimensionality reduction for categorical data
Cell	Segmentation of Cytology Images to Detect Cervical Cancer Using Deep Learning Techniques
Cell Type Classification	Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-offs
Cellular Automata	Operator entanglement growth quantifies complexity of cellular automata
Cellulose Nanofibrils	Time Series Predictions Based on PCA and LSTM Networks: a Framework for Predicting Brownian Rotary Diffusion of Cellulose Nanofibrils
Central Processing Units	Moving Beyond CPUs: The Power of Heterogeneous Computing - A Panel Discussion
CFD	Unleashing the Potential of Mixed Precision in AI-Accelerated CFD Simulation on Intel CPU/GPU Architectures Flow Field Analysis in Vortex Ring State using Small Diameter Rotor by Descent Simulation Effects of wind on forward and turning flight of flying cars using computational fluid dynamics
changing architecture	Dynamic Growing and Shrinking of Neural Networks with Monte Carlo Tree Search
Chaos Engineering	uChaos: Moving Chaos Engineering To IoT Devices
Chaotic flows	Adjoint Sensitivities of Chaotic Flows without Adjoint Solvers: A Data-Driven Approach
Characteristics Generated From Images	Fragmented Image Classification Using Local and Global Neural Networks: Investigating the Impact of the Quantity of Artificial Objects on Model Performance
Chat-GPT	Quantifying Similarity: Text-Mining Approaches to Evaluate ChatGPT and Google Bard Content in Relation to BioMedical Literature
ChatGPT	S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document
Chinese Spelling Correction	Local Attention Augmentation for Chinese Spelling Correction
Chronic Kidney Disease	Combining Convolution and Involution for the Early Prediction of Chronic Kidney Disease
classical algorithms	Hybrid approach to public-key algorithms in the near-quantum era
Classification	Focal-based Deep Learning model for automatic arrhythmia diagnosis From Sound to Map: Predicting Geographic Origin in Traditional Music Works Automatic kernel construction during the neural network learning by modified fast singular value decomposition PCA dimensionality reduction for categorical data
Classroom assessment	Evaluating Teacher’s Classroom Performance
Clifford algebras	Numerical precision errors in hyperbolic geometry
climate change	Automated prediction of air pollution conditions in environment monitoring systems A Conceptual Approach to Agent-Based Modelling of Coping Mechanisms in Climate-Driven Flooding in Bangladesh
Climate Dynamical System	Clustering dynamic climate models: A higher-order clustering approach
climate negotiations	Detecting negativity and dissensus in international talks Experiments with accounts of the Intergovernmental Panel on Climate Change sessions (2001-2022)
Clinical decision making	Modelling information perceiving within clinical decision support using inverse reinforcement learning
Clinical diagnosis	Development of a VTE prediction model based on automatically selected features in glioma patients
Clinical Monitoring	CARENET | A Clinical Analysis and Reporting Enhancement Network
cloud rendering	Single-Scattering and Multi-Scattering in Real-time Volumetric Rendering of Clouds
Cloud-Edge	Machine Learning Workflows in the Computing Continuum for Environmental Monitoring
Cloud-Fog-Edge	Energy- and Resource-Aware Graph-Based Microservices Placement in the Cloud-Fog-Edge Continuum.
Clustering	A cross-domain perspective to Clustering with Uncertainty A graph-theory based fMRI analysis Clustering dynamic climate models: A higher-order clustering approach Hypergraph Clustering With Path-Length Awareness
clustering algorithms	Inference algorithm for knowledge bases with rule cluster structure
Clustering Analysis	Threshold Optimization in Constructing Comparative Network Models: A Case Study on Enhancing Laparoscopic Surgical Skill Assessment with Edge Betweenness
CNN	Enhancing Breast Cancer Diagnosis: a CNN-based Approach for Medical Image Segmentation and Classification Evaluating R-CNN and YOLO V8 for Megalithic Monument Detection in Satellite Images
Code Analysis	S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document
Code coupling	Comparison of code coupling methodologies using HemeLB for blood flow simulations
Code porting	Preparing a Code for the Exascale - Porting HemeLB to GPU
Collaboration	CrimeSeen: An Interactive Visualization Environment for Scenario Testing on Criminal Cocaine Networks
Collective Adaptation	A Perspective on the Ubiquity of Interaction Streams in Human Realm
Collective Adoption of Sustainable Behaviors	Strategic Promotional Campaigns for Sustainable Behaviors: Maximizing Influence in Competitive Complex Contagions
Collective behavior	Solving Coverage Problem by Self-organizing Wireless Sensor Networks: (ϵ,h)-Learning Automata Collective Behavior Approach
Collective decision-making	How social contagions shape collective consensus in the presence of scale-free networks
Combinatorial Laplacian	BiWeighted Regular Grid Graphs - A New Class of Graphs for Which Graph Spectral Clustering is Applicable in Analytical Form
community behavior	Modelling of practice sharing in complex distributed healthcare system
Community Detection	A pipeline for the Analysis of Multilayer Brain Networks Graph Vertex Embeddings: Distance, Regularization and Community Detection
Comparison with experimental data	Modeling of Turbulent Flow over 2D Backward-Facing Step Using Generalized Hydrodynamic Equations
CompBioMedX	Overview of the CombBioMed Project
Complex Contagion	Strategic Promotional Campaigns for Sustainable Behaviors: Maximizing Influence in Competitive Complex Contagions
Complex materials and systems	Computational modelling of complex multiphase behavior of environmentally-friendly materials for sustainable technological solutions
complex networks	Modelling of practice sharing in complex distributed healthcare system
complex systems	Modelling of practice sharing in complex distributed healthcare system Operator entanglement growth quantifies complexity of cellular automata
Complex-Valued Integral Images	Rotationally invariant object detection on video using Zernike moments backed with integral images and frame skipping technique
Complexity	Operator entanglement growth quantifies complexity of cellular automata
complexity in evaluation	Using case-based systems mapping for policy evaluation: A case study using policy data on urban planning
compositional simulation	Computational Methods in Thermodynamics of Multicomponent Mixtures with Applications in Compositional Simulation
Compressible flow	Implementation of the QGD algorithm using AMR technology and GPU parallel computing
Compressible neo-Hookean	A three-dimensional fluid-structure interaction model for platelet aggregates based on porosity-dependent neo-Hookean material
Computational Creativity	Towards a Framework for Multimodal Creativity States Detection from Emotion, Arousal, and Valence
computational diplomacy	Disentangling Multilateral Diplomacy: Insights from an analyis citation pattern within UN Security Council Resolutions Using case-based systems mapping for policy evaluation: A case study using policy data on urban planning
Computational Efficiency	Optimizing Robust Variational Physics-Informed Neural Networks using Least Squares
Computational Electrophysiology	MonoWeb: cardiac electrophysiology web simulator
Computational Fluid Dynamics	Simulation of droplet dispersion from coughing with consideration of face mask motion Combining OpenFOAM and Deep Learning for Minimizing the Spatial Discretization Error on Coarse Meshes Velocity Temporal Shape Affects Simulated Flow in Left Coronary Arteries HarVI: Real-time intervention planning for coronary artery disease using machine learning
Computational Hydrology	Estimating soil hydraulic parameters for unsaturated flow using Physics-Informed Neural Networks
Computational Method	Active learning on ensemble machine-learning model to retrofit buildings under seismic mainshock-aftershock sequence
computational methods	Computational Methods in Thermodynamics of Multicomponent Mixtures with Applications in Compositional Simulation
Computational Modeling and Application	A rational logit dynamic for decision-making under uncertainty: well-posedness, vanishing-noise limit, and numerical approximation
Computational Modelling	CrimeSeen: An Interactive Visualization Environment for Scenario Testing on Criminal Cocaine Networks
computational optimization	Optimizing Prescribed Burn Risk Management: A Computational and Economic Modeling Approach Using QUIC FIRE Simulations
Computational performance	Comparison of code coupling methodologies using HemeLB for blood flow simulations
computational policy	Using case-based systems mapping for policy evaluation: A case study using policy data on urban planning
computational procedures	Computational aspects of homogeneous approximations of nonlinear systems
computational science	Trends in computational science: natural language processing and network analysis of 23 years of ICCS publications Translational Computer Science
Computational Science Education	Enhancing Computational Science Education Through Practical Applications: Leveraging Predictive Analytics in Box Meal Services
computational social science	Towards Modelling and Simulation of Organisational Routines
Computer graphics	Learning Mesh Geometry Prediction
Computer vision	Residential building semantic segmentation based on deep network architecture for the evaluation of the development of suburban areas
computer-aided design	Expedited Machine-Learning-Based Global Design Optimization of Antenna Systems Using Response Features and Multi-Fidelity EM Analysis
conceptual model	A Conceptual Approach to Agent-Based Modelling of Coping Mechanisms in Climate-Driven Flooding in Bangladesh
Constraint Acquisition	Deep Neural Network for Constraint Acquisition through Tailored Loss Function
Constraint Programming	Best of both worlds: solving the Cyclic Bandwidth problem by combining pre-existing knowledge and Constraint Programming techniques
consumption of data and artificial intelligence	Software: to green or not to green, that’s the question
Content Assessment	Quantifying Similarity: Text-Mining Approaches to Evaluate ChatGPT and Google Bard Content in Relation to BioMedical Literature
continuous domain	Enhancing a Hierarchical Evolutionary Strategy Using the Nearest-Better Clustering
Continuum	Machine Learning Workflows in the Computing Continuum for Environmental Monitoring
Contrastive learning	ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish
Convex hull	A New Highly Efficient Preprocessing Algorithm for Convex Hull, Maximum Distance and Minimal Bounding Circle in E2: Efficiency Analysis
Convex hull diameter	A New Highly Efficient Preprocessing Algorithm for Convex Hull, Maximum Distance and Minimal Bounding Circle in E2: Efficiency Analysis
Convolutional neural network	Architectural Modifications to Enhance Steganalysis with Convolutional Neural Networks Deep neural networks for assessing financial status of companies: Binary and Multi-class approach
Convolutional Neural Networks	Combining Convolution and Involution for the Early Prediction of Chronic Kidney Disease
coping mechanisms	A Conceptual Approach to Agent-Based Modelling of Coping Mechanisms in Climate-Driven Flooding in Bangladesh
CORDIC algorithm	Modified CORDIC Algorithm for Givens Rotator
Coronary Arteries	Velocity Temporal Shape Affects Simulated Flow in Left Coronary Arteries
coronary artery disease	HarVI: Real-time intervention planning for coronary artery disease using machine learning
correlation dimension	Human sex recognition based on dimensionality and uncertainty of gait motion capture data
Counterfactual Explanations	Understanding Survival Models through Counterfactual Explanations
Coupled Simulations	Linked Gaussian Process Emulation: Estimating Coupled Simulation Outputs Without Running Them
Coverage Path Planning	Multiobjective Optimization of Complete Coverage and Path Planning
COVID-19	Simulation of droplet dispersion from coughing with consideration of face mask motion Plasma-assisted air cleaning decreases COVID-19 infections in a primary school: Modelling and experimental data
COVID-19 models	Improving infectious disease transmission mechanisms in models
CPU	Energy Efficiency of Multithreaded WZ Factorization with the use of OpenMP and OpenACC on CPU and GPU
CPU/GPU	Unleashing the Potential of Mixed Precision in AI-Accelerated CFD Simulation on Intel CPU/GPU Architectures
Cramer Distance	Interpoint Inception Distance: Gaussian-Free Evaluation of Deep Generative Models
Creativity state detection	Towards a Framework for Multimodal Creativity States Detection from Emotion, Arousal, and Valence
Criminal Networks	CrimeSeen: An Interactive Visualization Environment for Scenario Testing on Criminal Cocaine Networks
cross-lingual	XLTU: A Cross-Lingual Model in Temporal Expression Extraction for Uyghur
Cryptanalysis	Unsafe mechanisms of Bluetooth, E0 stream cipher cryptanalysis with quantum annealing
CUDA	Teaching high-performance computing systems - a case study with parallel programming APIs: MPI, OpenMP and CUDA
Cybersecurity	Enhancing the Parallel UC2B Framework: Approach Validation and Scalability Study Towards an in-depth detection of malware using distributed QCNN
Cyclic Bandwidth	Best of both worlds: solving the Cyclic Bandwidth problem by combining pre-existing knowledge and Constraint Programming techniques
Cytoplasm	Segmentation of Cytology Images to Detect Cervical Cancer Using Deep Learning Techniques
D
Damage Assessment	Application of Neural Graphics Primitives Models for 3D Representation of Devastation Caused by Russian Aggression in Ukraine
DARIA-MARCOS	A Novel Multi-Criteria Temporal Decision Support Method - Sustainability Evaluation Case Study
Data Analysis	A cross-domain perspective to Clustering with Uncertainty
Data assimilation	Ensemble Kalman filter in latent space using a variational autoencoder pair
data enrichment	A method for inferring candidate Disease-Disease Associations
Data Generation	Simulation and Detection of Healthcare Fraud in German Inpatient Claims Data
data integration	A method for inferring candidate Disease-Disease Associations
Data Mining	SOCXAI: Leveraging CNN and SHAP Analysis for Battery SOC Estimation and Anomaly Detection A cross-domain perspective to Clustering with Uncertainty Data augmentation to improve molecular subtype prognosis prediction in breast cancer
data post-processing	Multitaper-Based Post-Processing of Compact Antenna Responses Obtained in Non-Anechoic Conditions Accurate Post-Processing of Spatially-Separated Antenna Measurements Realized in Non-Anechoic Environments
Data processing	Combining Convolution and Involution for the Early Prediction of Chronic Kidney Disease
data representation	Graph-Based Data Representation and Prediction in Medical Domain Tasks Using Graph Neural Networks
Data Sampling	DP-PINN: A Dual-Phase Training Scheme for Improving the Performance of Physics-Informed Neural Networks
data store	The Research Repository for Data and Diagnostics (R2D2): An Online Database Software System for High Performance Computing and Cloud-based Satellite Data Assimilation Workflows
Data structure	PGAS Data Structure for Unbalanced Tree-Based Algorithms at Scale
Data-driven methods	Data-driven 3D shape completion with product units
dataset augmentation	KetGPT - Dataset Augmentation of Quantum Circuits using Transformers
de Sitter spacetime	Simulating, Visualizing and Playing with de Sitter and anti de Sitter spacetime
decision rule	Automated Discovery of Concurrent Models of Decision-Making Systems from Data
Decision support	How to facilitate hybrid model development by rebuilding the demographic simulation model
decision support system	Healthcare Resilience Evaluation Using Novel Multi-Criteria Method A Novel Multi-Criteria Temporal Decision Support Method - Sustainability Evaluation Case Study
Decision Support systems	Modelling information perceiving within clinical decision support using inverse reinforcement learning
decision-making system	Automated Discovery of Concurrent Models of Decision-Making Systems from Data
Deep Fourier Residual Method	Adaptive Deep Fourier Residual method for solving PDEs on polygonal domains
Deep generative model	Interpoint Inception Distance: Gaussian-Free Evaluation of Deep Generative Models
Deep learning	Residential building semantic segmentation based on deep network architecture for the evaluation of the development of suburban areas State estimation of partially unknown dynamical systems with a Deep Kalman Filter Brain Tumor Segmentation Using Ensemble CNN-Transfer Learning Models: DeepLabV3plus and ResNet50 Approach Visual Explanations and Perturbation-Based Fidelity Metrics for Feature-Based Models Focal-based Deep Learning model for automatic arrhythmia diagnosis Segmentation of Cytology Images to Detect Cervical Cancer Using Deep Learning Techniques Combining OpenFOAM and Deep Learning for Minimizing the Spatial Discretization Error on Coarse Meshes On the numerical performance of a Discontinuous Deep Ritz Method for PDEs with discontinuities in the data and solution Towards efficient deep autoencoders for multivariate time series anomaly detection Investigating Guiding Information for Adaptive Collocation Point Sampling in PINNs On the Training Efficiency of Shallow Architectures for Physics Informed Neural Networks Generative modeling of Sparse Approximate Inverse Preconditioners Learning Mesh Geometry Prediction Architectural Modifications to Enhance Steganalysis with Convolutional Neural Networks
Deep Learning for damage detection	Damage detection using a Deep Autoencoder: exploring limits and confidence in diagnostics
Deep Neural Network	Deep Neural Network for Constraint Acquisition through Tailored Loss Function
Deep unfolding	State estimation of partially unknown dynamical systems with a Deep Kalman Filter
Defense timing selection	Cost-effective Defense Timing Selection for Moving Target Defense in Satellite Computing Systems
Depth-first search	PGAS Data Structure for Unbalanced Tree-Based Algorithms at Scale
design automation	Cost-Efficient Multi-Objective Design of Miniaturized Microwave Circuits Using Machine Learning and Artificial Neural Networks
Detection Time Reduction	Rotationally invariant object detection on video using Zernike moments backed with integral images and frame skipping technique
Diabetes mellitus	Modelling information perceiving within clinical decision support using inverse reinforcement learning
Diagnosis	Focal-based Deep Learning model for automatic arrhythmia diagnosis
diagnostic method preferences	Modelling of practice sharing in complex distributed healthcare system
Dictionary-based method	A Dictionary-Based with Stacked Ensemble Learning to Time Series Classification
Digital electronic circuit	Hypergraph Clustering With Path-Length Awareness
Digital Twin	Local sensitivity analysis of a closed-loop in silico model of the human baroregulation.
digital twin for healthcare	Advancing Towards Exascale: Creating Digital Twin Vascular Models with HemeLB for Human Hemodynamics
Digital Twin in Healthcare	Towards a generation of Digital Twins in Healthcare of Ischaemic and Haemorrhagic Stroke
digital twins	Towards Digital Twins in Healthcare (and some reflections on Computational Science)
Dijkstra's algorithm	Cascade training as a tree search with Dijkstra's algorithm
dimensionality reduction	PCA dimensionality reduction for categorical data
Direct numerical simulation	Unstructured flux-limiter convective schemes for simulation of transport phenomena in two-phase flows File I/O Cache Performance of Supercomputer Fugaku Using an Out-of-core Direct Numerical Simulation Code of Turbulence An Asymptotic Parallel Linear Solver and Its Application to Direct Numerical Simulation for Compressible Turbulence
Directed interval arithmetic	Solving multi-connected BVPs with uncertainly defined complex shapes
Discontinuous Galerkin method	On the numerical performance of a Discontinuous Deep Ritz Method for PDEs with discontinuities in the data and solution
Discrete Event Simulation	Advancing Organizational Performance: A Strategic Framework to Multiscale Modeling and Simulation
Discrete Event Simulators for Quantum Networks	Statistical Model Checking for Entanglement Swapping in Quantum Networks
Disease prediction	Combining Convolution and Involution for the Early Prediction of Chronic Kidney Disease
Disease Prognosis	Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-offs
Disease Transmission Mechanisms	Improving infectious disease transmission mechanisms in models
Distributed consensus	How social contagions shape collective consensus in the presence of scale-free networks
distributed learning	Kernel-based learning with guarantees for multi-agent applications
Distributed Quantum Computing	Noise robustness of a multiparty quantum summation protocol
DNA interaction	Unwinding DNA Strands by Single-Walled Carbon Nanotubes: Molecular docking and MD simulation approach
DNN	Unleashing the Potential of Mixed Precision in AI-Accelerated CFD Simulation on Intel CPU/GPU Architectures
Docking Surrogate	Accelerating Drug Discovery by Combining Machine-Learning and Physics-Based Methods
Drug Discovery​	Quantum annealing-based generative models for ligands design in drug discovery
DTH	Towards Digital Twins in Healthcare (and some reflections on Computational Science)
Dynamic Time Warping Barycenter Averaging	Visual Explanations and Perturbation-Based Fidelity Metrics for Feature-Based Models
Dynamical Social Systems	A Perspective on the Ubiquity of Interaction Streams in Human Realm
Dynamical Systems	Bridging Machine Learning, Dynamical Systems, and Algorithmic Information Theory: Insights from Sparse Kernel Flows and PDE Simplification
E
E-commerce	Sustainability in the Digital Age: Assessing the Carbon Footprint of E-Commerce Platforms
E-Health	Data augmentation to improve molecular subtype prognosis prediction in breast cancer
E0 cipher	Unsafe mechanisms of Bluetooth, E0 stream cipher cryptanalysis with quantum annealing
E3SM Land Model	S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document
earth observations	The Research Repository for Data and Diagnostics (R2D2): An Online Database Software System for High Performance Computing and Cloud-based Satellite Data Assimilation Workflows
earth system data assimilation	The Research Repository for Data and Diagnostics (R2D2): An Online Database Software System for High Performance Computing and Cloud-based Satellite Data Assimilation Workflows
earthquake and tsunami simulation	GPU Accelerated Shallow-Water Type Models for Tsunami Modelling
ECG	Visual Explanations and Perturbation-Based Fidelity Metrics for Feature-Based Models
Edge Betweenness	Threshold Optimization in Constructing Comparative Network Models: A Case Study on Enhancing Laparoscopic Surgical Skill Assessment with Edge Betweenness
Education Evaluation	Analyzing Grade Inflation in Engineering Education
Educational simulator for cardiologists	MonoWeb: cardiac electrophysiology web simulator
Effective connectivity	Simulation of Human Walking Avoiding Obstacles in an Individual with Motor Disability using a Deep Learning by Reinforcement Model
Eigenproblem	Direct Solver Aiming at Elimination of Systematic Errors in 3D Stellar Positions
Eighth-order compact difference scheme	An Asymptotic Parallel Linear Solver and Its Application to Direct Numerical Simulation for Compressible Turbulence
Elasticity	A highly efficient computational approach for wind-driven flows over deformable topography
Electrocardiogram	Focal-based Deep Learning model for automatic arrhythmia diagnosis
electronic health records	Graph-Based Data Representation and Prediction in Medical Domain Tasks Using Graph Neural Networks
Elliptic curve factorization	Elliptic-curve factorization and witnesses
Elliptic partial differential equations	Generative modeling of Sparse Approximate Inverse Preconditioners
Embedded Systems	From HPC to Edge Computing: A new Paradigm in Forest Fire Spread Simulation
Embeddings	Graph Vertex Embeddings: Distance, Regularization and Community Detection
Emotion detection	Towards a Framework for Multimodal Creativity States Detection from Emotion, Arousal, and Valence
Emulation	Emulating melt ponds on sea ice with neural networks
Encoder-based language models	ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish
Energy	Energy- and Resource-Aware Graph-Based Microservices Placement in the Cloud-Fog-Edge Continuum.
Energy crisis	Automated prediction of air pollution conditions in environment monitoring systems
energy efficiency	Energy Efficiency of Multithreaded WZ Factorization with the use of OpenMP and OpenACC on CPU and GPU
Energy transformation	Automated prediction of air pollution conditions in environment monitoring systems
Engagement	Computational Biomedicine Exascale Engagement
ensemble feature selection	EnsembleFS: an R toolkit and a web-based tool for a filter ensemble feature selection of molecular omics data
Ensemble forecasting	Stacking for Probabilistic Short-term Load Forecasting
Ensemble learning	Enhancing the Parallel UC2B Framework: Approach Validation and Scalability Study
ensemble machine learning	From Fine-grained to Refined: APT Malware Knowledge Graph Construction and Attribution Analysis Driven by Multi-stage Graph Computation
Ensemble Machine-Learning Model	Active learning on ensemble machine-learning model to retrofit buildings under seismic mainshock-aftershock sequence
Ensemble Methods	Brain Tumor Segmentation Using Ensemble CNN-Transfer Learning Models: DeepLabV3plus and ResNet50 Approach
ensemble of numerical solutions	On Estimation of Numerical Solution in Prager&Synge Sense
Entanglement Entropy	Operator entanglement growth quantifies complexity of cellular automata
Environmental simulation	Evaluating the Impact of Incorporating Natural Elements into Urban Environments Using PBP Methodology in Immersive Virtual Reality
equations of motion	Modeling the Dynamics of a Multi-Planetary System with Anisotropic Mass Variation
ESM-2	EsmTemp - Transfer Learning Approach for Predicting Protein Thermostability
Evaluation measure	Interpoint Inception Distance: Gaussian-Free Evaluation of Deep Generative Models
evolutionary algorithm	Enhancing a Hierarchical Evolutionary Strategy Using the Nearest-Better Clustering
evolutionary algorithms	TM-MSAligner: a tool for multiple sequence alignment of transmembrane proteins
evolutionary computation	Global induction of oblique survival trees
Evolutionary Neural Architecture Search	Evolutionary Neural Architecture Search for 2D and 3D Medical Image Classification
Exascale	Computational Biomedicine Exascale Engagement Overview of the CombBioMed Project Uncertainty Quantification at the Exascale
Exascale applications	Software Environment for Actionable and VVUQ-evaluated Exascale Applications toolkit
Exascale computing	Preparing a Code for the Exascale - Porting HemeLB to GPU Advancing Towards Exascale: Creating Digital Twin Vascular Models with HemeLB for Human Hemodynamics Towards exascale agent-based modelling for policy evaluation in real-time
Exascale Simulations	Uncertainty Quantification in Exascale Simulations: A Panel Discussion Linked Gaussian Process Emulation: Estimating Coupled Simulation Outputs Without Running Them
ExBLAS	Robustness and Accuracy in Pipelined Biconjugate Gradient Stabilized Method: A Comparative Study
eXcalibur	Welcome & Introduction to ExCALIBUR
Expanded Perlite	Integrated Multi-scale Model of Thermal Conductivity for Expanded Perlite Powder Vacuum Insulation Panels
Experiential Learning	Enhancing Computational Science Education Through Practical Applications: Leveraging Predictive Analytics in Box Meal Services
Experimental psychology	Evaluating the Impact of Incorporating Natural Elements into Urban Environments Using PBP Methodology in Immersive Virtual Reality
Explainability	SOCXAI: Leveraging CNN and SHAP Analysis for Battery SOC Estimation and Anomaly Detection
Explainable AI	Explainable hybrid semi-parametric model for prediction of power generated by wind turbines
Explainable Artificial Intelligence	Assessment of Explainable Anomaly Detection for Monitoring of Cold Rolling Process Understanding Survival Models through Counterfactual Explanations
Explicit Wave Propagation Analysis	Low-ordered Orthogonal Voxel Finite Element with int8-Tensor Core for GPU-based Explicit Elastic Wave Propagation Analysis
extrapolation and generalization	Logical functions on a single product unit}
Extreme Learning Machine	Exploring Apple Silicon's Potential from Simulation and Optimization Perspective
F
Face Mask	Simulation of droplet dispersion from coughing with consideration of face mask motion
Fact-checking	Fact-Checking Generative AI: Ontology-Driven Biological Graphs for Disease-Gene Link Verification
Factor bases	Elliptic-curve factorization and witnesses
fair principles	The Research Repository for Data and Diagnostics (R2D2): An Online Database Software System for High Performance Computing and Cloud-based Satellite Data Assimilation Workflows
fault injection	uChaos: Moving Chaos Engineering To IoT Devices
Feature Importance	Visual Explanations and Perturbation-Based Fidelity Metrics for Feature-Based Models
feature selection	EnsembleFS: an R toolkit and a web-based tool for a filter ensemble feature selection of molecular omics data
Federated Learning	Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-offs
feed-forward control	A Numerical Feed-Forward scheme for the Augmented Kalman Filter
Fermat factoring	Elliptic-curve factorization and witnesses
fetal brain	Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation
Field-based uncertainty	Adaptive Sampling for Non-intrusive Reduced Order Models Using Multi-Task Variance
finite difference method	Fast simulations in augmented reality An Asymptotic Parallel Linear Solver and Its Application to Direct Numerical Simulation for Compressible Turbulence
Finite Element	Low-ordered Orthogonal Voxel Finite Element with int8-Tensor Core for GPU-based Explicit Elastic Wave Propagation Analysis
Finite element method	A highly efficient computational approach for wind-driven flows over deformable topography A Comprehensive Approach to Multiscale Boundary Element Modelling of Damage in Polycrystalline Materials Development of an Estimation Method for the Seismic Motion Reproducibility of a Three-dimensional Ground Structure Model by combining Surface-observed Seismic Motion and Three-dimensional Seismic Motion Analysis
Finite element methods	GraphMesh: Geometrically Generalized Mesh Refinement using GNNs Generative modeling of Sparse Approximate Inverse Preconditioners
Finite Elements	Numerical Studies on Coupled Stokes-Transport Systems for Mantle Convection
Finite volume method	A highly efficient computational approach for wind-driven flows over deformable topography Combining OpenFOAM and Deep Learning for Minimizing the Spatial Discretization Error on Coarse Meshes
Finite-Difference Time-Domain Solver	GPU-Accelerated Finite-Difference Time-Domain Solver for Electromagnetic Differential Equations
finite-differences	TR-Based Antenna Design with Forward FD: the Effects of Step Size on the Optimization Performance
Finite-state machine(FSM)	A "Virtual Clinical Trial” for evaluation of intelligent monitoring of exacerbation level for COPD patients
Finite-Volume Method	Unstructured flux-limiter convective schemes for simulation of transport phenomena in two-phase flows
Firefly Algorithm	Parameter Tuning of the Firefly Algorithm by Standard Monte Carlo and Quasi-Monte Carlo Methods
Flame	NeRFlame: Flame-based conditioning of NeRF for 3D face rendering
Flight simulation	Analysis of Marker and SLAM-based Tracking for Advanced Augmented Reality (AR)-based Flight Simulation
flooding	A Conceptual Approach to Agent-Based Modelling of Coping Mechanisms in Climate-Driven Flooding in Bangladesh
Flow transport	A backward-characteristics monotonicity preserving method for stiff transport problems
Fluid-structure interaction	A three-dimensional fluid-structure interaction model for platelet aggregates based on porosity-dependent neo-Hookean material
Flying Car	Effects of wind on forward and turning flight of flying cars using computational fluid dynamics
Forced Displacement	Integrating Health Facility Density into Route Pruning Algorithms: A Case Study in South Sudan
forced migration	A Conceptual Approach to Agent-Based Modelling of Coping Mechanisms in Climate-Driven Flooding in Bangladesh
Forced Migration Prediction	Predicting Forced Migration Movements: A Sensitivity Analysis Approach
forcing term estimation	A Numerical Feed-Forward scheme for the Augmented Kalman Filter
Forecasting	The Past Helps The Future: Coupling Differential Equations with Machine Learning Methods to Model Epidemic Outbreaks
Forecasting Models	Automated prediction of air pollution conditions in environment monitoring systems
Forest Fire perimeter	Enhancing the realism of wildfire simulation using Composite Bézier curves
Forest Fire Spread Simulator	From HPC to Edge Computing: A new Paradigm in Forest Fire Spread Simulation
Forward Error Correction	A Novel Iterative Decoding for Iterated Codes Using Classical and Convolutional Neural Networks
FPGA	Modified CORDIC Algorithm for Givens Rotator Calculation of the Sigmoid Activation Function in FPGA Using Rational Fractions
Fragmented Image Classification	Fragmented Image Classification Using Local and Global Neural Networks: Investigating the Impact of the Quantity of Artificial Objects on Model Performance
Fraud Detection	Simulation and Detection of Healthcare Fraud in German Inpatient Claims Data
Frechet Inception Distance (FID)	Interpoint Inception Distance: Gaussian-Free Evaluation of Deep Generative Models
Fugaku	File I/O Cache Performance of Supercomputer Fugaku Using an Out-of-core Direct Numerical Simulation Code of Turbulence Big Data Assimilation Revolutionizing Numerical Weather Prediction Using Fugaku
Functional Magnetic Resonance Imaging	A graph-theory based fMRI analysis
fuzzy set	Automated Discovery of Concurrent Models of Decision-Making Systems from Data
G
gait analysis	Human sex recognition based on dimensionality and uncertainty of gait motion capture data
Galerkin projection	Rapid and Rigorous Learning Simulation Methodology with High Accuracy for Electronic and Optical Superlattices
Gaussian Attention	Local Attention Augmentation for Chinese Spelling Correction
Gaussian Process Emulation	Linked Gaussian Process Emulation: Estimating Coupled Simulation Outputs Without Running Them
Gaussian Process Emulators	Uncertainty Quantification at the Exascale
Gaussian Process Regression	Uncertainty Quantification and Machine Learning for High-Performance-Computing Plasma Physics Simulations
gel domains	A Supervised Machine Learning Approach to Determine Domain Phases in Selected Lipid Membrane Compositions
Gene Regulatory Networks	Exploiting medical-expert knowledge via a novel memetic algorithm for the inference of gene regulatory networks
Generalized Hydrodynamic Equations	Modeling of Turbulent Flow over 2D Backward-Facing Step Using Generalized Hydrodynamic Equations
generative AI	KetGPT - Dataset Augmentation of Quantum Circuits using Transformers Quantum annealing-based generative models for ligands design in drug discovery Quantifying Similarity: Text-Mining Approaches to Evaluate ChatGPT and Google Bard Content in Relation to BioMedical Literature Fact-Checking Generative AI: Ontology-Driven Biological Graphs for Disease-Gene Link Verification
Generative Artificial Intelligence	CARENET | A Clinical Analysis and Reporting Enhancement Network
Generative methods	Accelerating Drug Discovery by Combining Machine-Learning and Physics-Based Methods
Geometric Discretization	GPU-Accelerated Finite-Difference Time-Domain Solver for Electromagnetic Differential Equations
GHG Monitoring	Evaluating the impact of atmospheric CO2 emissions via super resolution of remote sensing data
Givens rotator	Modified CORDIC Algorithm for Givens Rotator
Global Network alignment	A graph-theory based fMRI analysis
global optimization	Expedited Machine-Learning-Based Global Design Optimization of Antenna Systems Using Response Features and Multi-Fidelity EM Analysis Enhancing a Hierarchical Evolutionary Strategy Using the Nearest-Better Clustering
Go	MPI4All: Universal Binding Generation for MPI Parallel Programming
Goal-oriented Adaptivity	Goal-Oriented Adaptivity Using Artificial Neural Networks
Goertzel and Reinsch algorithms	Parallel Vectorized Algorithms for Computing Trigonometric Sums Using AVX-512 Extensions
Google Bard	Quantifying Similarity: Text-Mining Approaches to Evaluate ChatGPT and Google Bard Content in Relation to BioMedical Literature
GPU	Low-ordered Orthogonal Voxel Finite Element with int8-Tensor Core for GPU-based Explicit Elastic Wave Propagation Analysis Energy Efficiency of Multithreaded WZ Factorization with the use of OpenMP and OpenACC on CPU and GPU Parallelism in particle-based simulations in the PAX-HPC project
GPU Accelerators	GPU-Accelerated Finite-Difference Time-Domain Solver for Electromagnetic Differential Equations
GPU computing	Preparing a Code for the Exascale - Porting HemeLB to GPU
GPU Offloading	Optimizing BIT1, a Particle-in-Cell Monte Carlo Code, with OpenMP/OpenACC and GPU Acceleration
grad-cam	A Framework for Intelligent Generation of Intrusion Detection Rules Based on Grad-CAM
Grade inflation	Analyzing Grade Inflation in Engineering Education
gradient descent	Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making
gradient method	Gradient method for solving singular optimal control problems
graph algorithms	A Robust Network Model for Studying Microbiomes in Precision Agriculture Applications
graph clustering	From Fine-grained to Refined: APT Malware Knowledge Graph Construction and Attribution Analysis Driven by Multi-stage Graph Computation
graph embedding	From Fine-grained to Refined: APT Malware Knowledge Graph Construction and Attribution Analysis Driven by Multi-stage Graph Computation
Graph Labeling	Best of both worlds: solving the Cyclic Bandwidth problem by combining pre-existing knowledge and Constraint Programming techniques
graph neural networks	Representation learning in multiplex graphs: Where and how to fuse information? GraphMesh: Geometrically Generalized Mesh Refinement using GNNs Graph-Based Data Representation and Prediction in Medical Domain Tasks Using Graph Neural Networks Solving Sparse Linear Systems on Large Unstructured Grids with Graph Neural Networks: Application to solve the Poisson's equation in Hall-Effect Thrusters simulations
Graph partitioning	Energy- and Resource-Aware Graph-Based Microservices Placement in the Cloud-Fog-Edge Continuum.
Graph representation learning	Beneath the Facade of IP Leasing: Graph-Based Approach for Identifying Malicious IP Blocks
Graph spectral clustering \and	BiWeighted Regular Grid Graphs - A New Class of Graphs for Which Graph Spectral Clustering is Applicable in Analytical Form
graph theory	A graph-theory based fMRI analysis Trends in computational science: natural language processing and network analysis of 23 years of ICCS publications
Graph transformation rules	Modeling Tsunami Waves at the Coastline of Valparaiso Area of Chile with Physics Informed Neural Networks
Graph Visualization	CrimeSeen: An Interactive Visualization Environment for Scenario Testing on Criminal Cocaine Networks
Graphical Processing Units	Moving Beyond CPUs: The Power of Heterogeneous Computing - A Panel Discussion
Graphs	Graph Vertex Embeddings: Distance, Regularization and Community Detection
green learning	Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation
gridlock	A data science approach to measure gridlock within the UN Security Council from 1946 to 2023
H
Haemorrhagic Stroke	Towards a generation of Digital Twins in Healthcare of Ischaemic and Haemorrhagic Stroke
Hamming metric	PCA dimensionality reduction for categorical data
Health	Large Language Models for Binary Health-Related Question Answering: A Zero- and Few-Shot Evaluation
Health Facilities	Integrating Health Facility Density into Route Pruning Algorithms: A Case Study in South Sudan
Healthcare	Simulation and Detection of Healthcare Fraud in German Inpatient Claims Data
Healthcare Analytics	Visual Explanations and Perturbation-Based Fidelity Metrics for Feature-Based Models
Healthcare assessment	Healthcare Resilience Evaluation Using Novel Multi-Criteria Method
Healthcare Fraud	Simulation and Detection of Healthcare Fraud in German Inpatient Claims Data
Healthcare sustainability	Focal-based Deep Learning model for automatic arrhythmia diagnosis
Heat Transfer	Integrated Multi-scale Model of Thermal Conductivity for Expanded Perlite Powder Vacuum Insulation Panels
HemeLB	Preparing a Code for the Exascale - Porting HemeLB to GPU
Hemodynamics	Advancing Towards Exascale: Creating Digital Twin Vascular Models with HemeLB for Human Hemodynamics
Heterogeneous HPCs	Moving Beyond CPUs: The Power of Heterogeneous Computing - A Panel Discussion
Heuristic algorithms	A novel bandwidth occupancy forecasting method for optical networks
Heuristic Optimization	Multiobjective Optimization of Complete Coverage and Path Planning
Hierarchical Matrices	Accelerating training of Physics Informed Neural Network for 1D PDEs with Hierarchical Matrices
Hierarchical Modeling	Uncertainty Quantification at the Exascale
hierarchical network	Modelling of practice sharing in complex distributed healthcare system
High dimensional parameter spaces	Uncertainty quantification for high dimensional parameter spaces: physics-based versus AI models
High performance computing	Enhancing the Parallel UC2B Framework: Approach Validation and Scalability Study The Research Repository for Data and Diagnostics (R2D2): An Online Database Software System for High Performance Computing and Cloud-based Satellite Data Assimilation Workflows Software Environment for Actionable and VVUQ-evaluated Exascale Applications toolkit
High Performance Computing Application	S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document
High-energy physics	Reduced Simulations for High-Energy Physics, a Middle Ground for Data-Driven Physics Research
High-Performance Computing	Direct Solver Aiming at Elimination of Systematic Errors in 3D Stellar Positions Unstructured flux-limiter convective schemes for simulation of transport phenomena in two-phase flows Fast Layout-Oblivious Tensor-Matrix Multiplication with BLAS Preparing a Code for the Exascale - Porting HemeLB to GPU Uncertainty Quantification and Machine Learning for High-Performance-Computing Plasma Physics Simulations
high-probablility guarantees	Kernel-based learning with guarantees for multi-agent applications
homogeneous approximation	Computational aspects of homogeneous approximations of nonlinear systems
HPC	Unleashing the Potential of Mixed Precision in AI-Accelerated CFD Simulation on Intel CPU/GPU Architectures Robustness and Accuracy in Pipelined Biconjugate Gradient Stabilized Method: A Comparative Study
HPC applications and systems	DAI: How pre-computation speeds up data analysis
HPC education	Teaching high-performance computing systems - a case study with parallel programming APIs: MPI, OpenMP and CUDA
HPC I/O System	Agent Based Simulation as an effective way for HPC I/O system tuning
human sex/gender recognition	Human sex recognition based on dimensionality and uncertainty of gait motion capture data
Human-computer interaction	CrimeSeen: An Interactive Visualization Environment for Scenario Testing on Criminal Cocaine Networks Evaluating the Impact of Incorporating Natural Elements into Urban Environments Using PBP Methodology in Immersive Virtual Reality
Human-computer interfaces	Computational modelling of complex multiphase behavior of environmentally-friendly materials for sustainable technological solutions
Hybrid Parallelism	Direct Solver Aiming at Elimination of Systematic Errors in 3D Stellar Positions
Hybrid Programming	Optimizing BIT1, a Particle-in-Cell Monte Carlo Code, with OpenMP/OpenACC and GPU Acceleration
Hybrid quantization	Towards efficient deep autoencoders for multivariate time series anomaly detection
Hybrid semi-parametric models	Explainable hybrid semi-parametric model for prediction of power generated by wind turbines
Hybrid Solver	Optimizing Robust Variational Physics-Informed Neural Networks using Least Squares
Hydrogen	Non-equilibrium molecular dynamics investigation on the permeation characteristics of hydrogen in amorphous polyethylene
hyperbolic geometry	Numerical precision errors in hyperbolic geometry
Hypergraph	Hypergraph Clustering With Path-Length Awareness
Hypernetwork	Modeling 3D Surfaces with a Locally Conditioned Atlas
Hyperparameter optimization	Adaptive Hyperparameter Tuning within Neural Network-based Efficient Global Optimization
I
I/O cache	File I/O Cache Performance of Supercomputer Fugaku Using an Out-of-core Direct Numerical Simulation Code of Turbulence
I/O Libraries	DAI: How pre-computation speeds up data analysis
ICCS	Trends in computational science: natural language processing and network analysis of 23 years of ICCS publications
Image Classification	Enhancing Breast Cancer Diagnosis: a CNN-based Approach for Medical Image Segmentation and Classification
Image enhancement	Brain Tumor Segmentation Using Ensemble CNN-Transfer Learning Models: DeepLabV3plus and ResNet50 Approach
image hashing	Toward Real-time Solar Content-based Image Retrieval
Image Segmentation	Enhancing Breast Cancer Diagnosis: a CNN-based Approach for Medical Image Segmentation and Classification
Immune Checkpoint Inhibitors	CARENET | A Clinical Analysis and Reporting Enhancement Network
Immune-Related Adverse Events	CARENET | A Clinical Analysis and Reporting Enhancement Network
Improving the simulation performance	How to facilitate hybrid model development by rebuilding the demographic simulation model
IMS	Simulation Model for Application of the SDN Concept in IMS/NGN Network Transport Stratum
in-door localization	Miniaturization-Oriented Design of Spline-Parameterized UWB Antenna for In-Door Positioning Applications
Industry Relevance	Enhancing Computational Science Education Through Practical Applications: Leveraging Predictive Analytics in Box Meal Services
Inf-Sup stable element	Numerical Results and Convergence of Some Inf-Sup Stable Elements for the Stokes Problem with Pressure Dirichlet Boundary Condition
Infectious Disease Modeling	Improving infectious disease transmission mechanisms in models
inference algorithm	Inference algorithm for knowledge bases with rule cluster structure
Influence Maximization	Strategic Promotional Campaigns for Sustainable Behaviors: Maximizing Influence in Competitive Complex Contagions
information theory	Enhancing out-of-distribution detection through stochastic embeddings in self-supervised learning
Inpatient Claims	Simulation and Detection of Healthcare Fraud in German Inpatient Claims Data
Inpatient Claims Simulation	Simulation and Detection of Healthcare Fraud in German Inpatient Claims Data
Input data Uncertainty	From HPC to Edge Computing: A new Paradigm in Forest Fire Spread Simulation
Instant Neural Graphics Primitives	Application of Neural Graphics Primitives Models for 3D Representation of Devastation Caused by Russian Aggression in Ukraine
Intel architectures	Unleashing the Potential of Mixed Precision in AI-Accelerated CFD Simulation on Intel CPU/GPU Architectures
Interaction	CrimeSeen: An Interactive Visualization Environment for Scenario Testing on Criminal Cocaine Networks
Interdisciplinary Collaboration	Enhancing Computational Science Education Through Practical Applications: Leveraging Predictive Analytics in Box Meal Services
interface for observation data access	The Research Repository for Data and Diagnostics (R2D2): An Online Database Software System for High Performance Computing and Cloud-based Satellite Data Assimilation Workflows
Interior Point Methods	Krylov Solvers for Interior Point Methods with Applications in Radiation Therapy and Support Vector Machines
internally displaced people	A Conceptual Approach to Agent-Based Modelling of Coping Mechanisms in Climate-Driven Flooding in Bangladesh
Internet of Things	Automated prediction of air pollution conditions in environment monitoring systems
Interpolation	Enhancing the realism of wildfire simulation using Composite Bézier curves
Interval fast parametric integral equations system	Solving multi-connected BVPs with uncertainly defined complex shapes
Interval numbers	Solving multi-connected BVPs with uncertainly defined complex shapes
Intrinsics	Parallel Vectorized Algorithms for Computing Trigonometric Sums Using AVX-512 Extensions
introduction	Welcome & Introduction to ExCALIBUR
intrusion detection	A Framework for Intelligent Generation of Intrusion Detection Rules Based on Grad-CAM
inverse heat transfer problems	A Numerical Feed-Forward scheme for the Augmented Kalman Filter
Inverse Reinforcement Learning	Modelling information perceiving within clinical decision support using inverse reinforcement learning
Involutional Neural Networks	Combining Convolution and Involution for the Early Prediction of Chronic Kidney Disease
ioda	The Research Repository for Data and Diagnostics (R2D2): An Online Database Software System for High Performance Computing and Cloud-based Satellite Data Assimilation Workflows
IoT	uChaos: Moving Chaos Engineering To IoT Devices LoRaWAN Infrastructure Design and Implementation for Soil Moisture Monitoring: A Real-World Practical Case
IP blocks detection	Beneath the Facade of IP Leasing: Graph-Based Approach for Identifying Malicious IP Blocks
IP Leasing	Beneath the Facade of IP Leasing: Graph-Based Approach for Identifying Malicious IP Blocks
IPCC	Detecting negativity and dissensus in international talks Experiments with accounts of the Intergovernmental Panel on Climate Change sessions (2001-2022)
Ischaemic Stroke	Towards a generation of Digital Twins in Healthcare of Ischaemic and Haemorrhagic Stroke
Ising chain strength	Quantum Annealers Chain Strengths: A Simple Heuristic to Set Them All
Iterated Codes	A Novel Iterative Decoding for Iterated Codes Using Classical and Convolutional Neural Networks
J
Java	MPI4All: Universal Binding Generation for MPI Parallel Programming
jedi	The Research Repository for Data and Diagnostics (R2D2): An Online Database Software System for High Performance Computing and Cloud-based Satellite Data Assimilation Workflows
joint effort for data assimilation integration	The Research Repository for Data and Diagnostics (R2D2): An Online Database Software System for High Performance Computing and Cloud-based Satellite Data Assimilation Workflows
K
Kalman Filter	A Numerical Feed-Forward scheme for the Augmented Kalman Filter State estimation of partially unknown dynamical systems with a Deep Kalman Filter
Kaplan-Meier survival estimation	Plasma-assisted air cleaning decreases COVID-19 infections in a primary school: Modelling and experimental data
kernels	Automatic kernel construction during the neural network learning by modified fast singular value decomposition
keywords extraction	Assessing the Stability of Text-to-Text Models for Keyword Generation Tasks
Knowledge distillation	Data-Efficient Knowledge Distillation with Teacher Assistant-Based Dynamic Objective Alignment
Knowledge Representation	CARENET | A Clinical Analysis and Reporting Enhancement Network
Krylov Solvers	Krylov Solvers for Interior Point Methods with Applications in Radiation Therapy and Support Vector Machines
Krylov subspace methods	Robustness and Accuracy in Pipelined Biconjugate Gradient Stabilized Method: A Comparative Study
L
Large Language Models	Stylometric Analysis of Large Language Model-Generated Commentaries in the context of Medical Neuroscience Large Language Models for Binary Health-Related Question Answering: A Zero- and Few-Shot Evaluation Detecting negativity and dissensus in international talks Experiments with accounts of the Intergovernmental Panel on Climate Change sessions (2001-2022) S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document
Large-eddy simulations	The lattice-Boltzmann-based large eddy simulations for the stenosis of the aorta
Large-Scale PIC Simulations	Optimizing BIT1, a Particle-in-Cell Monte Carlo Code, with OpenMP/OpenACC and GPU Acceleration
Large-Scale Scientific Software	S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document
Large-Scale Scientific Software (S3)	S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document
lattice Boltzmann method	The lattice-Boltzmann-based large eddy simulations for the stenosis of the aorta Advancing Towards Exascale: Creating Digital Twin Vascular Models with HemeLB for Human Hemodynamics
Lead-free haptic devices	Computational modelling of complex multiphase behavior of environmentally-friendly materials for sustainable technological solutions
Learning automata	Enhancing Lifetime Coverage in Wireless Sensor Networks: A Learning Automata Approach Solving Coverage Problem by Self-organizing Wireless Sensor Networks: (ϵ,h)-Learning Automata Collective Behavior Approach
learning of logical functions	Logical functions on a single product unit}
lens studio	Fast simulations in augmented reality
Ligand pose optimisation	Accelerating Drug Discovery by Combining Machine-Learning and Physics-Based Methods
LIME	Visual Explanations and Perturbation-Based Fidelity Metrics for Feature-Based Models
Limit Evolution Equation	A rational logit dynamic for decision-making under uncertainty: well-posedness, vanishing-noise limit, and numerical approximation
limited labels	Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognition
Linear Algebra	Enhancing the Parallel UC2B Framework: Approach Validation and Scalability Study
Linear system of equations	Towards Obtaining A Quantum Advantage In Practice
lipid membranes	A Supervised Machine Learning Approach to Determine Domain Phases in Selected Lipid Membrane Compositions
Llama	S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document
LLM	Quantifying Similarity: Text-Mining Approaches to Evaluate ChatGPT and Google Bard Content in Relation to BioMedical Literature S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document
Load balancing	PGAS Data Structure for Unbalanced Tree-Based Algorithms at Scale Towards Obtaining A Quantum Advantage In Practice
Logistic Regression	Network Model with Application to Allergy Diseases
Long Short-Term Memory	Time Series Predictions Based on PCA and LSTM Networks: a Framework for Predicting Brownian Rotary Diffusion of Cellulose Nanofibrils
long-term evolution	Modeling the Dynamics of a Multi-Planetary System with Anisotropic Mass Variation
Longest Common Subsequence Problem	Efficient Search Algorithms for the Restricted Longest Common Subsequence Problem
Longest-edge refinement algorithm	Modeling Tsunami Waves at the Coastline of Valparaiso Area of Chile with Physics Informed Neural Networks
LoRaWAN	LoRaWAN Infrastructure Design and Implementation for Soil Moisture Monitoring: A Real-World Practical Case
Low Consumption GPUs	From HPC to Edge Computing: A new Paradigm in Forest Fire Spread Simulation
Lower Bounds	Best of both worlds: solving the Cyclic Bandwidth problem by combining pre-existing knowledge and Constraint Programming techniques
M
Machine Learning	Enhancing Computational Science Education Through Practical Applications: Leveraging Predictive Analytics in Box Meal Services Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Data SOCXAI: Leveraging CNN and SHAP Analysis for Battery SOC Estimation and Anomaly Detection Enhancing the Parallel UC2B Framework: Approach Validation and Scalability Study A graph-theory based fMRI analysis Bridging Machine Learning, Dynamical Systems, and Algorithmic Information Theory: Insights from Sparse Kernel Flows and PDE Simplification Clustering dynamic climate models: A higher-order clustering approach Emulating melt ponds on sea ice with neural networks Machine Learning Workflows in the Computing Continuum for Environmental Monitoring Assessment of Explainable Anomaly Detection for Monitoring of Cold Rolling Process Quantum annealing-based generative models for ligands design in drug discovery CARENET | A Clinical Analysis and Reporting Enhancement Network Cost-Efficient Multi-Objective Design of Miniaturized Microwave Circuits Using Machine Learning and Artificial Neural Networks Exploring Apple Silicon's Potential from Simulation and Optimization Perspective Development of a VTE prediction model based on automatically selected features in glioma patients Combining Convolution and Involution for the Early Prediction of Chronic Kidney Disease EnsembleFS: an R toolkit and a web-based tool for a filter ensemble feature selection of molecular omics data A Supervised Machine Learning Approach to Determine Domain Phases in Selected Lipid Membrane Compositions Neural Dynamics in Parkinson's Disease: Integrating Machine Learning and Stochastic Modelling with Connectomic data HarVI: Real-time intervention planning for coronary artery disease using machine learning From Sound to Map: Predicting Geographic Origin in Traditional Music Works Accelerating Drug Discovery by Combining Machine-Learning and Physics-Based Methods
Machine Learning \and	BiWeighted Regular Grid Graphs - A New Class of Graphs for Which Graph Spectral Clustering is Applicable in Analytical Form
Mainshock-Aftershock Sequence	Active learning on ensemble machine-learning model to retrofit buildings under seismic mainshock-aftershock sequence
Malicious domain detection	Semi-supervised Malicious Domain Detection Based on Meta Pseudo Labeling
Malware analysis	Towards an in-depth detection of malware using distributed QCNN
Mantle Convection	Numerical Studies on Coupled Stokes-Transport Systems for Mantle Convection
Manufacturing	Deep neural networks for assessing financial status of companies: Binary and Multi-class approach
Mapping	Neural Network as Transformation Function in Data Assimilation
Marker-based Tracking	Analysis of Marker and SLAM-based Tracking for Advanced Augmented Reality (AR)-based Flight Simulation
Markov chain	A novel bandwidth occupancy forecasting method for optical networks
Markov Decision processes	Modelling information perceiving within clinical decision support using inverse reinforcement learning
Mass transfer	Unstructured flux-limiter convective schemes for simulation of transport phenomena in two-phase flows
materials and molecular modelling	Parallelism in particle-based simulations in the PAX-HPC project
materials science	A Comprehensive Approach to Multiscale Boundary Element Modelling of Damage in Polycrystalline Materials
Mathematical Epidemiology	The Past Helps The Future: Coupling Differential Equations with Machine Learning Methods to Model Epidemic Outbreaks
mathematical modelling	Gradient method for solving singular optimal control problems
Matrix-Free Methods	Numerical Studies on Coupled Stokes-Transport Systems for Mantle Convection
Maximum distance	A New Highly Efficient Preprocessing Algorithm for Convex Hull, Maximum Distance and Minimal Bounding Circle in E2: Efficiency Analysis
Maximum lifetime coverage problem	Enhancing Lifetime Coverage in Wireless Sensor Networks: A Learning Automata Approach
MCDA	SESP-SPOTIS: advancing stochastic approach for re-identifying MCDA models
MD simulation	Probing the Interface: Molecular Simulations of Protein-Material Interactions
Medical entity linking	ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish
Medical field	Invited Talk by Chiara Zucco: Negation detection in medical texts
Medical Image Analysis	Enhancing Breast Cancer Diagnosis: a CNN-based Approach for Medical Image Segmentation and Classification
Medical Image Classification	Evolutionary Neural Architecture Search for 2D and 3D Medical Image Classification
medical image recognition	Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognition
Medical Imaging	Brain Tumor Segmentation Using Ensemble CNN-Transfer Learning Models: DeepLabV3plus and ResNet50 Approach Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation
megalithic monuments	Evaluating R-CNN and YOLO V8 for Megalithic Monument Detection in Satellite Images
Melt Ponds	Emulating melt ponds on sea ice with neural networks
Memetic Algorithm	Exploiting medical-expert knowledge via a novel memetic algorithm for the inference of gene regulatory networks
Memory component	Simulation of Human Walking Avoiding Obstacles in an Individual with Motor Disability using a Deep Learning by Reinforcement Model
Mental health	Evaluating the Impact of Incorporating Natural Elements into Urban Environments Using PBP Methodology in Immersive Virtual Reality
Merton jump diffusion	Multivariate Time Series Modelling with Neural SDE driven by Jump Diffusion
Mesh	Modeling 3D Surfaces with a Locally Conditioned Atlas
Mesh compression	Learning Mesh Geometry Prediction
Mesh Refinement	GraphMesh: Geometrically Generalized Mesh Refinement using GNNs
Meta Pseudo Labels	Semi-supervised Malicious Domain Detection Based on Meta Pseudo Labeling
Meta-learning	Stacking for Probabilistic Short-term Load Forecasting
microdomains	A Supervised Machine Learning Approach to Determine Domain Phases in Selected Lipid Membrane Compositions
Microservices placement	Energy- and Resource-Aware Graph-Based Microservices Placement in the Cloud-Fog-Edge Continuum.
Microsoft HoloLens 2	Analysis of Marker and SLAM-based Tracking for Advanced Augmented Reality (AR)-based Flight Simulation
microwave design	Cost-Efficient Multi-Objective Design of Miniaturized Microwave Circuits Using Machine Learning and Artificial Neural Networks
Migration Modelling and Simulation	Integrating Health Facility Density into Route Pruning Algorithms: A Case Study in South Sudan
Minimum bounding circle	A New Highly Efficient Preprocessing Algorithm for Convex Hull, Maximum Distance and Minimal Bounding Circle in E2: Efficiency Analysis
minor embedding	Quantum Annealers Chain Strengths: A Simple Heuristic to Set Them All
mixed precision	Unleashing the Potential of Mixed Precision in AI-Accelerated CFD Simulation on Intel CPU/GPU Architectures
Model	Integrated Multi-scale Model of Thermal Conductivity for Expanded Perlite Powder Vacuum Insulation Panels
Model compression	Data-Efficient Knowledge Distillation with Teacher Assistant-Based Dynamic Objective Alignment
Model Interpretability	Visual Explanations and Perturbation-Based Fidelity Metrics for Feature-Based Models
Model order reduction	Rapid and Rigorous Learning Simulation Methodology with High Accuracy for Electronic and Optical Superlattices
model stability	Assessing the Stability of Text-to-Text Models for Keyword Generation Tasks
Model Training	DP-PINN: A Dual-Phase Training Scheme for Improving the Performance of Physics-Informed Neural Networks
Modeling	A novel bandwidth occupancy forecasting method for optical networks
modelling and simulation	Towards Modelling and Simulation of Organisational Routines
Modularity	A pipeline for the Analysis of Multilayer Brain Networks Threshold Optimization in Constructing Comparative Network Models: A Case Study on Enhancing Laparoscopic Surgical Skill Assessment with Edge Betweenness
Molecular Design	Quantum annealing-based generative models for ligands design in drug discovery
Molecular docking	Unwinding DNA Strands by Single-Walled Carbon Nanotubes: Molecular docking and MD simulation approach
molecular dynamics	Unwinding DNA Strands by Single-Walled Carbon Nanotubes: Molecular docking and MD simulation approach A Supervised Machine Learning Approach to Determine Domain Phases in Selected Lipid Membrane Compositions
Monte Carlo Methods	Uncertainty Quantification at the Exascale
Monte Carlo simulation	Adaptive Sampling for Non-intrusive Reduced Order Models Using Multi-Task Variance
Monte Carlo tree search	Dynamic Growing and Shrinking of Neural Networks with Monte Carlo Tree Search
motion capture	Human sex recognition based on dimensionality and uncertainty of gait motion capture data
Motor neuron disorders	Simulation of Human Walking Avoiding Obstacles in an Individual with Motor Disability using a Deep Learning by Reinforcement Model
Moving target defense	Cost-effective Defense Timing Selection for Moving Target Defense in Satellite Computing Systems
MPI	Teaching high-performance computing systems - a case study with parallel programming APIs: MPI, OpenMP and CUDA MPI4All: Universal Binding Generation for MPI Parallel Programming
mulilateralism	Disentangling Multilateral Diplomacy: Insights from an analyis citation pattern within UN Security Council Resolutions
Multi-agent systems	Kernel-based learning with guarantees for multi-agent applications
Multi-class classification	Deep neural networks for assessing financial status of companies: Binary and Multi-class approach
multi-criteria temporal assessment	A Novel Multi-Criteria Temporal Decision Support Method - Sustainability Evaluation Case Study
Multi-Domain Learning	A Multi-Domain Multi-Task Approach for Feature Selection from Bulk RNA Datasets
multi-domain simulation	Towards a Next Generation Simulation Platform for Vehicle Electrification Planning
multi-GPU framework	GPU Accelerated Shallow-Water Type Models for Tsunami Modelling
Multi-layer shallow water	A highly efficient computational approach for wind-driven flows over deformable topography
multi-objective optimization	Cost-Efficient Multi-Objective Design of Miniaturized Microwave Circuits Using Machine Learning and Artificial Neural Networks TM-MSAligner: a tool for multiple sequence alignment of transmembrane proteins
Multi-Party Computation	Noise robustness of a multiparty quantum summation protocol
Multi-planetary system	Modeling the Dynamics of a Multi-Planetary System with Anisotropic Mass Variation
multi-scattering	Single-Scattering and Multi-Scattering in Real-time Volumetric Rendering of Clouds
Multi-task Gaussian process	Adaptive Sampling for Non-intrusive Reduced Order Models Using Multi-Task Variance
multi-task learni	XLTU: A Cross-Lingual Model in Temporal Expression Extraction for Uyghur
Multi-Task Learning	A Multi-Domain Multi-Task Approach for Feature Selection from Bulk RNA Datasets
Multilayer Network	A pipeline for the Analysis of Multilayer Brain Networks
multilayer shallow-water models	GPU Accelerated Shallow-Water Type Models for Tsunami Modelling
Multilinear algebra	Fast Layout-Oblivious Tensor-Matrix Multiplication with BLAS
Multimodal	Towards a Framework for Multimodal Creativity States Detection from Emotion, Arousal, and Valence
Multiobjective Optimization	Multiobjective Optimization of Complete Coverage and Path Planning
Multiphase co-existence	Computational modelling of complex multiphase behavior of environmentally-friendly materials for sustainable technological solutions
multiple sequence alignment	TM-MSAligner: a tool for multiple sequence alignment of transmembrane proteins
multiplex graphs	Representation learning in multiplex graphs: Where and how to fuse information?
Multiscale Modeling and Simulation	Advancing Organizational Performance: A Strategic Framework to Multiscale Modeling and Simulation
Multiscale modelling	A Comprehensive Approach to Multiscale Boundary Element Modelling of Damage in Polycrystalline Materials Comparison of code coupling methodologies using HemeLB for blood flow simulations Uncertainty Quantification and Machine Learning for High-Performance-Computing Plasma Physics Simulations
multitaper	Multitaper-Based Post-Processing of Compact Antenna Responses Obtained in Non-Anechoic Conditions
multivariate time series modelling	Multivariate Time Series Modelling with Neural SDE driven by Jump Diffusion
Music Information Retrieval	From Sound to Map: Predicting Geographic Origin in Traditional Music Works
N
Nanotoxicity	Unwinding DNA Strands by Single-Walled Carbon Nanotubes: Molecular docking and MD simulation approach
natural language processing	A data science approach to measure gridlock within the UN Security Council from 1946 to 2023 Disentangling Multilateral Diplomacy: Insights from an analyis citation pattern within UN Security Council Resolutions Trends in computational science: natural language processing and network analysis of 23 years of ICCS publications
Natural Language Processing Application	S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document
Natural Language Processing(NLP)	CARENET | A Clinical Analysis and Reporting Enhancement Network
Nearest-Better Clustering	Enhancing a Hierarchical Evolutionary Strategy Using the Nearest-Better Clustering
Negation detection	Invited Talk by Chiara Zucco: Negation detection in medical texts
NeRF	NeRFlame: Flame-based conditioning of NeRF for 3D face rendering
network analysis	A data science approach to measure gridlock within the UN Security Council from 1946 to 2023 Trends in computational science: natural language processing and network analysis of 23 years of ICCS publications
network anaysis	Disentangling Multilateral Diplomacy: Insights from an analyis citation pattern within UN Security Council Resolutions
Network congestion	A novel bandwidth occupancy forecasting method for optical networks
Network coverage problem	Solving Coverage Problem by Self-organizing Wireless Sensor Networks: (ϵ,h)-Learning Automata Collective Behavior Approach
Network medicine	Fact-Checking Generative AI: Ontology-Driven Biological Graphs for Disease-Gene Link Verification
Network Model	Network Model with Application to Allergy Diseases
network models	A Robust Network Model for Studying Microbiomes in Precision Agriculture Applications Threshold Optimization in Constructing Comparative Network Models: A Case Study on Enhancing Laparoscopic Surgical Skill Assessment with Edge Betweenness
Network scanning	Cost-effective Defense Timing Selection for Moving Target Defense in Satellite Computing Systems
Neural Dynamics	Neural Dynamics in Parkinson's Disease: Integrating Machine Learning and Stochastic Modelling with Connectomic data
neural impulses	Determining of mouse behavior based on brain neuron activity data
Neural network	Neural Network as Transformation Function in Data Assimilation Dynamic Growing and Shrinking of Neural Networks with Monte Carlo Tree Search
Neural networks	Fragmented Image Classification Using Local and Global Neural Networks: Investigating the Impact of the Quantity of Artificial Objects on Model Performance Adaptive Hyperparameter Tuning within Neural Network-based Efficient Global Optimization Cost-Efficient Multi-Objective Design of Miniaturized Microwave Circuits Using Machine Learning and Artificial Neural Networks Optimizing Robust Variational Physics-Informed Neural Networks using Least Squares On the numerical performance of a Discontinuous Deep Ritz Method for PDEs with discontinuities in the data and solution Data-driven 3D shape completion with product units Automatic kernel construction during the neural network learning by modified fast singular value decomposition A Novel Iterative Decoding for Iterated Codes Using Classical and Convolutional Neural Networks
Neural Radiance Fields	Application of Neural Graphics Primitives Models for 3D Representation of Devastation Caused by Russian Aggression in Ukraine
neural stochastic differential equations	Multivariate Time Series Modelling with Neural SDE driven by Jump Diffusion
Neurodegenerative Disorders	Neural Dynamics in Parkinson's Disease: Integrating Machine Learning and Stochastic Modelling with Connectomic data
Newton's method	Adaptive multi-level algorithm for nonlinear problems
NGN	Simulation Model for Application of the SDN Concept in IMS/NGN Network Transport Stratum
NISQ devices	Adaptive Sampling Noise Mitigation Technique for Feedback-based Quantum Algorithms
NLP	Invited Talk by Chiara Zucco: Negation detection in medical texts
Noisy Quantum Communication	Noise robustness of a multiparty quantum summation protocol
Noisy quantum computing	The significance of the Quantum Volume for other algorithms: a case study for Quantum Amplitude Estimation
non-anechoic experiments	Accurate Post-Processing of Spatially-Separated Antenna Measurements Realized in Non-Anechoic Environments
non-anechoic measurements	Multitaper-Based Post-Processing of Compact Antenna Responses Obtained in Non-Anechoic Conditions
Non-equilibrium molecular dynamics	Non-equilibrium molecular dynamics investigation on the permeation characteristics of hydrogen in amorphous polyethylene
non-Euclidean geometry	Simulating, Visualizing and Playing with de Sitter and anti de Sitter spacetime
Non-H1 singular solution	Numerical Results and Convergence of Some Inf-Sup Stable Elements for the Stokes Problem with Pressure Dirichlet Boundary Condition
nonlinear approximation	Computational aspects of homogeneous approximations of nonlinear systems
nonlinear problems	Adaptive multi-level algorithm for nonlinear problems
nonlinear system	Computational aspects of homogeneous approximations of nonlinear systems
normalising flows	Multivariate Time Series Modelling with Neural SDE driven by Jump Diffusion
Nuclei	Segmentation of Cytology Images to Detect Cervical Cancer Using Deep Learning Techniques
Numerical Computational Electromagnetics	GPU-Accelerated Finite-Difference Time-Domain Solver for Electromagnetic Differential Equations
numerical optimization	Specification-Oriented Automatic Design of Topologically Agnostic Antenna Structure TR-Based Antenna Design with Forward FD: the Effects of Step Size on the Optimization Performance
numerical precision	Numerical precision errors in hyperbolic geometry
Numerical reliability	Robustness and Accuracy in Pipelined Biconjugate Gradient Stabilized Method: A Comparative Study
Numerical solution	Modeling of Turbulent Flow over 2D Backward-Facing Step Using Generalized Hydrodynamic Equations
numerical weather prediction	Big Data Assimilation Revolutionizing Numerical Weather Prediction Using Fugaku
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Object Detection	Evaluating R-CNN and YOLO V8 for Megalithic Monument Detection in Satellite Images Rotationally invariant object detection on video using Zernike moments backed with integral images and frame skipping technique
oblique tree	Global induction of oblique survival trees
omics	EnsembleFS: an R toolkit and a web-based tool for a filter ensemble feature selection of molecular omics data
ontologies	A method for inferring candidate Disease-Disease Associations
Ontology	Fact-Checking Generative AI: Ontology-Driven Biological Graphs for Disease-Gene Link Verification
OpenACC	Optimizing BIT1, a Particle-in-Cell Monte Carlo Code, with OpenMP/OpenACC and GPU Acceleration Energy Efficiency of Multithreaded WZ Factorization with the use of OpenMP and OpenACC on CPU and GPU
OpenFOAM	Implementation of the QGD algorithm using AMR technology and GPU parallel computing
OpenMP	Teaching high-performance computing systems - a case study with parallel programming APIs: MPI, OpenMP and CUDA Parallel Vectorized Algorithms for Computing Trigonometric Sums Using AVX-512 Extensions Optimizing BIT1, a Particle-in-Cell Monte Carlo Code, with OpenMP/OpenACC and GPU Acceleration Energy Efficiency of Multithreaded WZ Factorization with the use of OpenMP and OpenACC on CPU and GPU
Operations research	How to facilitate hybrid model development by rebuilding the demographic simulation model
Optical network	A novel bandwidth occupancy forecasting method for optical networks
optimal control	Gradient method for solving singular optimal control problems
Optimization	Implementing 3-SAT Gadgets for Quantum Annealers with random instances Adaptive Sampling Noise Mitigation Technique for Feedback-based Quantum Algorithms Parameter Tuning of the Firefly Algorithm by Standard Monte Carlo and Quasi-Monte Carlo Methods A novel bandwidth occupancy forecasting method for optical networks Exploring Apple Silicon's Potential from Simulation and Optimization Perspective Exploiting medical-expert knowledge via a novel memetic algorithm for the inference of gene regulatory networks Optimizing Robust Variational Physics-Informed Neural Networks using Least Squares Energy- and Resource-Aware Graph-Based Microservices Placement in the Cloud-Fog-Edge Continuum. Krylov Solvers for Interior Point Methods with Applications in Radiation Therapy and Support Vector Machines
organisational routines	Towards Modelling and Simulation of Organisational Routines
Organizational Performance	Advancing Organizational Performance: A Strategic Framework to Multiscale Modeling and Simulation
Out-of-core implementation	File I/O Cache Performance of Supercomputer Fugaku Using an Out-of-core Direct Numerical Simulation Code of Turbulence
out-of-distribution detection	Enhancing out-of-distribution detection through stochastic embeddings in self-supervised learning
overview	Welcome & Introduction to ExCALIBUR
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Panel Discussion	Uncertainty Quantification in Exascale Simulations: A Panel Discussion
Parallel Computing	Teaching high-performance computing systems - a case study with parallel programming APIs: MPI, OpenMP and CUDA MPI4All: Universal Binding Generation for MPI Parallel Programming
Parallel File System	Agent Based Simulation as an effective way for HPC I/O system tuning
parallelism	Parallelism in particle-based simulations in the PAX-HPC project
parameter synthesis	Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making
Parameter Tuning	Parameter Tuning of the Firefly Algorithm by Standard Monte Carlo and Quasi-Monte Carlo Methods
Parametric Integral Equation System (PIES)	Coupling PIES and PINN for Solving Two-Dimensional Boundary Value Problems via Domain Decomposition
Parametrisation	Emulating melt ponds on sea ice with neural networks
Pareto optimality	Cost-Efficient Multi-Objective Design of Miniaturized Microwave Circuits Using Machine Learning and Artificial Neural Networks
parity problem	Logical functions on a single product unit}
Partial Differential Equations	Adaptive Deep Fourier Residual method for solving PDEs on polygonal domains Goal-Oriented Adaptivity Using Artificial Neural Networks On the numerical performance of a Discontinuous Deep Ritz Method for PDEs with discontinuities in the data and solution Accelerating training of Physics Informed Neural Network for 1D PDEs with Hierarchical Matrices Investigating Guiding Information for Adaptive Collocation Point Sampling in PINNs Solving Sparse Linear Systems on Large Unstructured Grids with Graph Neural Networks: Application to solve the Poisson's equation in Hall-Effect Thrusters simulations On the Training Efficiency of Shallow Architectures for Physics Informed Neural Networks DP-PINN: A Dual-Phase Training Scheme for Improving the Performance of Physics-Informed Neural Networks GPU-Accelerated Finite-Difference Time-Domain Solver for Electromagnetic Differential Equations
particle hydrodynamics	Parallelism in particle-based simulations in the PAX-HPC project
Partitioning	Solving Sparse Linear Systems on Large Unstructured Grids with Graph Neural Networks: Application to solve the Poisson's equation in Hall-Effect Thrusters simulations
path signature	Multivariate Time Series Modelling with Neural SDE driven by Jump Diffusion
PDE Simplification	Bridging Machine Learning, Dynamical Systems, and Algorithmic Information Theory: Insights from Sparse Kernel Flows and PDE Simplification
PDE Solvers	From Complexity to Simplicity: Brain-Inspired Modularization of PINN Solvers
Pegasus	Machine Learning Workflows in the Computing Continuum for Environmental Monitoring
Permeation	Non-equilibrium molecular dynamics investigation on the permeation characteristics of hydrogen in amorphous polyethylene
perturbation size	TR-Based Antenna Design with Forward FD: the Effects of Step Size on the Optimization Performance
Petri net	Automated Discovery of Concurrent Models of Decision-Making Systems from Data
Petrov-Galerkin finite volume method	A backward-characteristics monotonicity preserving method for stiff transport problems
PGAS programming	PGAS Data Structure for Unbalanced Tree-Based Algorithms at Scale
Phase-field modelling	Computational modelling of complex multiphase behavior of environmentally-friendly materials for sustainable technological solutions
Physics Informed Neural Networks	Accelerating training of Physics Informed Neural Network for 1D PDEs with Hierarchical Matrices Modeling Tsunami Waves at the Coastline of Valparaiso Area of Chile with Physics Informed Neural Networks
Physics-based methods	Accelerating Drug Discovery by Combining Machine-Learning and Physics-Based Methods
Physics-based models	Uncertainty quantification for high dimensional parameter spaces: physics-based versus AI models
Physics-Informed Neural Networks	The Past Helps The Future: Coupling Differential Equations with Machine Learning Methods to Model Epidemic Outbreaks Investigating Guiding Information for Adaptive Collocation Point Sampling in PINNs Estimating soil hydraulic parameters for unsaturated flow using Physics-Informed Neural Networks Physics-Informed Neural Network with Adaptive Mesh Refinement DP-PINN: A Dual-Phase Training Scheme for Improving the Performance of Physics-Informed Neural Networks From Complexity to Simplicity: Brain-Inspired Modularization of PINN Solvers
Physics-Informmed Neural Network (PINN)	Coupling PIES and PINN for Solving Two-Dimensional Boundary Value Problems via Domain Decomposition
PIES-PINN coupling	Coupling PIES and PINN for Solving Two-Dimensional Boundary Value Problems via Domain Decomposition
PINNs	On the Training Efficiency of Shallow Architectures for Physics Informed Neural Networks
plant microbiomes	A Robust Network Model for Studying Microbiomes in Precision Agriculture Applications
Plasma Physics	Solving Sparse Linear Systems on Large Unstructured Grids with Graph Neural Networks: Application to solve the Poisson's equation in Hall-Effect Thrusters simulations Uncertainty Quantification and Machine Learning for High-Performance-Computing Plasma Physics Simulations
Platelet aggregate	A three-dimensional fluid-structure interaction model for platelet aggregates based on porosity-dependent neo-Hookean material
Point cloud	Modeling 3D Surfaces with a Locally Conditioned Atlas
Policy evaluation	Towards exascale agent-based modelling for policy evaluation in real-time
polycrystalline microstructures	A Comprehensive Approach to Multiscale Boundary Element Modelling of Damage in Polycrystalline Materials
Polyethylene	Non-equilibrium molecular dynamics investigation on the permeation characteristics of hydrogen in amorphous polyethylene
Pore-scale simulation	Capillary pressure of binary mixtures in porous media: a pore-scale simulation study
Porosity	A three-dimensional fluid-structure interaction model for platelet aggregates based on porosity-dependent neo-Hookean material
Portability	Preparing a Code for the Exascale - Porting HemeLB to GPU
post-quantum algorithms	Hybrid approach to public-key algorithms in the near-quantum era
practice sharing	Modelling of practice sharing in complex distributed healthcare system
Prager&Synge method	On Estimation of Numerical Solution in Prager&Synge Sense
Pre-trained language model	Data-Efficient Knowledge Distillation with Teacher Assistant-Based Dynamic Objective Alignment
precision agriculture	A Robust Network Model for Studying Microbiomes in Precision Agriculture Applications
Preconditioning	Generative modeling of Sparse Approximate Inverse Preconditioners
Predictive Analytics	Enhancing Computational Science Education Through Practical Applications: Leveraging Predictive Analytics in Box Meal Services
predictive maintenance	Assessment of Explainable Anomaly Detection for Monitoring of Cold Rolling Process
Predictive Modeling	Development of a VTE prediction model based on automatically selected features in glioma patients
Preprocessing	A New Highly Efficient Preprocessing Algorithm for Convex Hull, Maximum Distance and Minimal Bounding Circle in E2: Efficiency Analysis
Prescribed burns	Optimizing Prescribed Burn Risk Management: A Computational and Economic Modeling Approach Using QUIC FIRE Simulations
Pressure Dirichlet boundary condition	Numerical Results and Convergence of Some Inf-Sup Stable Elements for the Stokes Problem with Pressure Dirichlet Boundary Condition
prevention	Plasma-assisted air cleaning decreases COVID-19 infections in a primary school: Modelling and experimental data
Principal Component Analysis	Time Series Predictions Based on PCA and LSTM Networks: a Framework for Predicting Brownian Rotary Diffusion of Cellulose Nanofibrils
Probabilistic forecasting	Stacking for Probabilistic Short-term Load Forecasting
Product units	Logical functions on a single product unit} Data-driven 3D shape completion with product units
prompt based learning for transformers	Target-phrase Zero-shot Stance Detection: Where Do We Stand?
Proper orthogonal decomposition	Rapid and Rigorous Learning Simulation Methodology with High Accuracy for Electronic and Optical Superlattices
protein language models	EsmTemp - Transfer Learning Approach for Predicting Protein Thermostability
protein thermostability	EsmTemp - Transfer Learning Approach for Predicting Protein Thermostability
Protein-material interaction	Probing the Interface: Molecular Simulations of Protein-Material Interactions
Provoking Questions	Quantifying Similarity: Text-Mining Approaches to Evaluate ChatGPT and Google Bard Content in Relation to BioMedical Literature
Pruning	Towards efficient deep autoencoders for multivariate time series anomaly detection
Pseudo-Inverse Matrix	Direct Solver Aiming at Elimination of Systematic Errors in 3D Stellar Positions
PSO	SESP-SPOTIS: advancing stochastic approach for re-identifying MCDA models
public healthcare	Plasma-assisted air cleaning decreases COVID-19 infections in a primary school: Modelling and experimental data
public transport	Analysing Urban Transport Using Synthetic Journeys
Python	The Past Helps The Future: Coupling Differential Equations with Machine Learning Methods to Model Epidemic Outbreaks
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quadcopter	Flow Field Analysis in Vortex Ring State using Small Diameter Rotor by Descent Simulation
Quantile regression forest	Stacking for Probabilistic Short-term Load Forecasting
Quantum Alternating Operator Ansatz	Quantum variational algorithms for the aircraft deconfliction problem
Quantum amplitude estimation	The significance of the Quantum Volume for other algorithms: a case study for Quantum Amplitude Estimation
Quantum annealing	Quantum Annealers Chain Strengths: A Simple Heuristic to Set Them All Implementing 3-SAT Gadgets for Quantum Annealers with random instances Unsafe mechanisms of Bluetooth, E0 stream cipher cryptanalysis with quantum annealing Quantum annealing-based generative models for ligands design in drug discovery Elliptic-curve factorization and witnesses
Quantum Approximate Optimization Algorithm	Quantum variational algorithms for the aircraft deconfliction problem
Quantum Assembly	KetGPT - Dataset Augmentation of Quantum Circuits using Transformers
Quantum circuit optimization	Optimizing Quantum Circuits using Algebraic Expressions
quantum circuits	KetGPT - Dataset Augmentation of Quantum Circuits using Transformers
Quantum Communication Networks	Towards Federated Learning on the Quantum Internet
quantum compilation	KetGPT - Dataset Augmentation of Quantum Circuits using Transformers
Quantum computing	Optimizing Quantum Circuits using Algebraic Expressions Hybrid approach to public-key algorithms in the near-quantum era General Quantum Image Representation Model and Framework Towards Obtaining A Quantum Advantage In Practice
Quantum Convolutional neural networks	Towards an in-depth detection of malware using distributed QCNN
Quantum encoding	Design Considerations for Denoising Quantum Time-Series Autoencoder
Quantum error correction	Optimizing Quantum Circuits using Algebraic Expressions
Quantum Federated Learning	Towards Federated Learning on the Quantum Internet
Quantum Generative Modeling	Quantum annealing-based generative models for ligands design in drug discovery
Quantum image representation	General Quantum Image Representation Model and Framework
Quantum images	General Quantum Image Representation Model and Framework
Quantum Information Theory	Operator entanglement growth quantifies complexity of cellular automata
Quantum Internet	Towards Federated Learning on the Quantum Internet
Quantum Machine Learning	Design Considerations for Denoising Quantum Time-Series Autoencoder Towards Federated Learning on the Quantum Internet Towards an in-depth detection of malware using distributed QCNN
Quantum measurement	Design Considerations for Denoising Quantum Time-Series Autoencoder
Quantum Networks	Statistical Model Checking for Entanglement Swapping in Quantum Networks
Quantum Processing Units	Moving Beyond CPUs: The Power of Heterogeneous Computing - A Panel Discussion
Quantum volume	The significance of the Quantum Volume for other algorithms: a case study for Quantum Amplitude Estimation
Quasi-gas dynamic equations	Implementation of the QGD algorithm using AMR technology and GPU parallel computing
QUIC FIRE simulation	Optimizing Prescribed Burn Risk Management: A Computational and Economic Modeling Approach Using QUIC FIRE Simulations
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r2d2	The Research Repository for Data and Diagnostics (R2D2): An Online Database Software System for High Performance Computing and Cloud-based Satellite Data Assimilation Workflows
radiation pattern	Multitaper-Based Post-Processing of Compact Antenna Responses Obtained in Non-Anechoic Conditions
rational fraction	Calculation of the Sigmoid Activation Function in FPGA Using Rational Fractions
Rational Logit Function	A rational logit dynamic for decision-making under uncertainty: well-posedness, vanishing-noise limit, and numerical approximation
ray marching	Single-Scattering and Multi-Scattering in Real-time Volumetric Rendering of Clouds
Re-identification	SESP-SPOTIS: advancing stochastic approach for re-identifying MCDA models
reactive forces	Modeling the Dynamics of a Multi-Planetary System with Anisotropic Mass Variation
real time simulations	Fast simulations in augmented reality
Reconstruction Loss	Visual Explanations and Perturbation-Based Fidelity Metrics for Feature-Based Models
Reduced order modeling	Adaptive Sampling for Non-intrusive Reduced Order Models Using Multi-Task Variance
Reduced-order modelling	Reduced Simulations for High-Energy Physics, a Middle Ground for Data-Driven Physics Research
Reference point	SESP-SPOTIS: advancing stochastic approach for re-identifying MCDA models
Regularized PIES	Elimination of Computing Singular Surface Integrals in the PIES Method through Regularization for Three-Dimensional Potential Problems
Reinforcement learning	Simulation of Human Walking Avoiding Obstacles in an Individual with Motor Disability using a Deep Learning by Reinforcement Model
Relational Graph Aggregation	BotRGA: Neighborhood-Aware Twitter Bot Detection with Relational Graph Aggregation
relativity	Simulating, Visualizing and Playing with de Sitter and anti de Sitter spacetime
Reliability in diagnostics	Damage detection using a Deep Autoencoder: exploring limits and confidence in diagnostics
Remnant polarization	Computational modelling of complex multiphase behavior of environmentally-friendly materials for sustainable technological solutions
Remote sensing	Evaluating the impact of atmospheric CO2 emissions via super resolution of remote sensing data
representation learning	Representation learning in multiplex graphs: Where and how to fuse information?
research repository for data and diagnostics	The Research Repository for Data and Diagnostics (R2D2): An Online Database Software System for High Performance Computing and Cloud-based Satellite Data Assimilation Workflows
Research Software Analysis	S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document
Reservoir computing	Adjoint Sensitivities of Chaotic Flows without Adjoint Solvers: A Data-Driven Approach
Residual replacement	Robustness and Accuracy in Pipelined Biconjugate Gradient Stabilized Method: A Comparative Study
Residual-based Adaptive Sampling	Physics-Informed Neural Network with Adaptive Mesh Refinement
response features	Expedited Machine-Learning-Based Global Design Optimization of Antenna Systems Using Response Features and Multi-Fidelity EM Analysis Specification-Oriented Automatic Design of Topologically Agnostic Antenna Structure
Restricted Patterns	Efficient Search Algorithms for the Restricted Longest Common Subsequence Problem
Retrieval Augmented Generation (RAG)	S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document
Retrofitting Structures	Active learning on ensemble machine-learning model to retrofit buildings under seismic mainshock-aftershock sequence
Richardson-Richards equation	Estimating soil hydraulic parameters for unsaturated flow using Physics-Informed Neural Networks
Ritz Method	On the numerical performance of a Discontinuous Deep Ritz Method for PDEs with discontinuities in the data and solution
RNN-autoencoder	Visual Explanations and Perturbation-Based Fidelity Metrics for Feature-Based Models
robust analysis	A Robust Network Model for Studying Microbiomes in Precision Agriculture Applications
rough set	Automated Discovery of Concurrent Models of Decision-Making Systems from Data
Route Pruning Algorithm	Integrating Health Facility Density into Route Pruning Algorithms: A Case Study in South Sudan
routine dynamics	Towards Modelling and Simulation of Organisational Routines
rule generation	A Framework for Intelligent Generation of Intrusion Detection Rules Based on Grad-CAM
rule-based knowledge bases	Inference algorithm for knowledge bases with rule cluster structure
RVPINNs	Optimizing Robust Variational Physics-Informed Neural Networks using Least Squares
S
saas	The Research Repository for Data and Diagnostics (R2D2): An Online Database Software System for High Performance Computing and Cloud-based Satellite Data Assimilation Workflows
sample entropy	Human sex recognition based on dimensionality and uncertainty of gait motion capture data
Sampling Noise Mitigation	Adaptive Sampling Noise Mitigation Technique for Feedback-based Quantum Algorithms
SARS-CoV-2	Plasma-assisted air cleaning decreases COVID-19 infections in a primary school: Modelling and experimental data
Satellite computing system	Cost-effective Defense Timing Selection for Moving Target Defense in Satellite Computing Systems
satellite images	Evaluating R-CNN and YOLO V8 for Megalithic Monument Detection in Satellite Images
Satisfiability	Implementing 3-SAT Gadgets for Quantum Annealers with random instances
science game	Simulating, Visualizing and Playing with de Sitter and anti de Sitter spacetime
scientific computing	Translational Computer Science
Scientific data management	DAI: How pre-computation speeds up data analysis
Scientific machine learning	State estimation of partially unknown dynamical systems with a Deep Kalman Filter
scientometrics	Trends in computational science: natural language processing and network analysis of 23 years of ICCS publications
SDN	Simulation Model for Application of the SDN Concept in IMS/NGN Network Transport Stratum
Sea Ice	Ensemble Kalman filter in latent space using a variational autoencoder pair Emulating melt ponds on sea ice with neural networks
Security Council	Disentangling Multilateral Diplomacy: Insights from an analyis citation pattern within UN Security Council Resolutions
security level	Hybrid approach to public-key algorithms in the near-quantum era
SegFormer	Residential building semantic segmentation based on deep network architecture for the evaluation of the development of suburban areas
Segmentation	Segmentation of Cytology Images to Detect Cervical Cancer Using Deep Learning Techniques Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation
Self-describing data formats	DAI: How pre-computation speeds up data analysis
Self-management COPD patient	A "Virtual Clinical Trial” for evaluation of intelligent monitoring of exacerbation level for COPD patients
Self-organization	Enhancing Lifetime Coverage in Wireless Sensor Networks: A Learning Automata Approach Solving Coverage Problem by Self-organizing Wireless Sensor Networks: (ϵ,h)-Learning Automata Collective Behavior Approach
self-supervised learning	Enhancing out-of-distribution detection through stochastic embeddings in self-supervised learning Representation learning in multiplex graphs: Where and how to fuse information? Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognition
Semantic Representation Learning	BotRGA: Neighborhood-Aware Twitter Bot Detection with Relational Graph Aggregation
Semantic segmentation	Residential building semantic segmentation based on deep network architecture for the evaluation of the development of suburban areas
semi-supervised learning	Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognition Semi-supervised Malicious Domain Detection Based on Meta Pseudo Labeling
Sensitivity	Adjoint Sensitivities of Chaotic Flows without Adjoint Solvers: A Data-Driven Approach
Sensitivity Analysis	Predicting Forced Migration Movements: A Sensitivity Analysis Approach Emulating melt ponds on sea ice with neural networks Local sensitivity analysis of a closed-loop in silico model of the human baroregulation. Plasma-assisted air cleaning decreases COVID-19 infections in a primary school: Modelling and experimental data Uncertainty Quantification and Machine Learning for High-Performance-Computing Plasma Physics Simulations
Sensor Networks	Automated prediction of air pollution conditions in environment monitoring systems Solving Coverage Problem by Self-organizing Wireless Sensor Networks: (ϵ,h)-Learning Automata Collective Behavior Approach
sentiment analysis	Detecting negativity and dissensus in international talks Experiments with accounts of the Intergovernmental Panel on Climate Change sessions (2001-2022)
Sequential sampling	Adaptive Hyperparameter Tuning within Neural Network-based Efficient Global Optimization
Severe environmental conditions	Automated prediction of air pollution conditions in environment monitoring systems
Shamir Secret Sharing	Noise robustness of a multiparty quantum summation protocol
SHAP	Visual Explanations and Perturbation-Based Fidelity Metrics for Feature-Based Models
Shockwave	Implementation of the QGD algorithm using AMR technology and GPU parallel computing
Short-term load forecasting	Stacking for Probabilistic Short-term Load Forecasting
shrinking and growing neural networks	Dynamic Growing and Shrinking of Neural Networks with Monte Carlo Tree Search
sigmoid function	Calculation of the Sigmoid Activation Function in FPGA Using Rational Fractions
Signal Processing	Focal-based Deep Learning model for automatic arrhythmia diagnosis
Simulation	Exploring Apple Silicon's Potential from Simulation and Optimization Perspective A working week simulation approach to forecast personal well-being CrimeSeen: An Interactive Visualization Environment for Scenario Testing on Criminal Cocaine Networks Reduced Simulations for High-Energy Physics, a Middle Ground for Data-Driven Physics Research
simulation development approach	A working week simulation approach to forecast personal well-being
simulation model	Simulation Model for Application of the SDN Concept in IMS/NGN Network Transport Stratum
Single neurons	Logical functions on a single product unit}
single-scattering	Single-Scattering and Multi-Scattering in Real-time Volumetric Rendering of Clouds
singular control	Gradient method for solving singular optimal control problems
Singular Integrals	Elimination of Computing Singular Surface Integrals in the PIES Method through Regularization for Three-Dimensional Potential Problems
singular value decomposition	Automatic kernel construction during the neural network learning by modified fast singular value decomposition
SIR model	Plasma-assisted air cleaning decreases COVID-19 infections in a primary school: Modelling and experimental data
SIRD Models	The Past Helps The Future: Coupling Differential Equations with Machine Learning Methods to Model Epidemic Outbreaks
skylab	The Research Repository for Data and Diagnostics (R2D2): An Online Database Software System for High Performance Computing and Cloud-based Satellite Data Assimilation Workflows
SLAM-based tracking	Analysis of Marker and SLAM-based Tracking for Advanced Augmented Reality (AR)-based Flight Simulation
small propeller	Flow Field Analysis in Vortex Ring State using Small Diameter Rotor by Descent Simulation
Smart Farming	LoRaWAN Infrastructure Design and Implementation for Soil Moisture Monitoring: A Real-World Practical Case
SNOMED-CT	ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish
SOC estimation	SOCXAI: Leveraging CNN and SHAP Analysis for Battery SOC Estimation and Anomaly Detection
Social contagion	How social contagions shape collective consensus in the presence of scale-free networks
social force	Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making
Social Interactions	A Perspective on the Ubiquity of Interaction Streams in Human Realm
Social Learning	A Perspective on the Ubiquity of Interaction Streams in Human Realm
Social Networks	Strategic Promotional Campaigns for Sustainable Behaviors: Maximizing Influence in Competitive Complex Contagions
Software Analysis	S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document
software consumption measurements	Software: to green or not to green, that’s the question
software framework	TM-MSAligner: a tool for multiple sequence alignment of transmembrane proteins
software sustainability	Software: to green or not to green, that’s the question
Soil Moisture Monitoring	LoRaWAN Infrastructure Design and Implementation for Soil Moisture Monitoring: A Real-World Practical Case
solar image analysis	Toward Real-time Solar Content-based Image Retrieval
solar image retrieval	Toward Real-time Solar Content-based Image Retrieval
Solver	Best of both worlds: solving the Cyclic Bandwidth problem by combining pre-existing knowledge and Constraint Programming techniques
Sparse Feature Selection	A Multi-Domain Multi-Task Approach for Feature Selection from Bulk RNA Datasets
Sparse Kernel Flows	Bridging Machine Learning, Dynamical Systems, and Algorithmic Information Theory: Insights from Sparse Kernel Flows and PDE Simplification
Sparse Linear systems	Solving Sparse Linear Systems on Large Unstructured Grids with Graph Neural Networks: Application to solve the Poisson's equation in Hall-Effect Thrusters simulations
Sparse matrices	Generative modeling of Sparse Approximate Inverse Preconditioners
Spatial discretization error	Combining OpenFOAM and Deep Learning for Minimizing the Spatial Discretization Error on Coarse Meshes
Spatial Prisoner’s Dilemma	Solving Coverage Problem by Self-organizing Wireless Sensor Networks: (ϵ,h)-Learning Automata Collective Behavior Approach
Spelling Check	Local Attention Augmentation for Chinese Spelling Correction
SPOTIS	SESP-SPOTIS: advancing stochastic approach for re-identifying MCDA models
sql data model	The Research Repository for Data and Diagnostics (R2D2): An Online Database Software System for High Performance Computing and Cloud-based Satellite Data Assimilation Workflows
Stacked ensemble learning	A Dictionary-Based with Stacked Ensemble Learning to Time Series Classification
Stacking	Stacking for Probabilistic Short-term Load Forecasting
stance detection	Target-phrase Zero-shot Stance Detection: Where Do We Stand?
Statistical Model Checking	Statistical Model Checking for Entanglement Swapping in Quantum Networks
Steganalysis	Architectural Modifications to Enhance Steganalysis with Convolutional Neural Networks
Steganography	Architectural Modifications to Enhance Steganalysis with Convolutional Neural Networks
Stellar Parameters	Direct Solver Aiming at Elimination of Systematic Errors in 3D Stellar Positions
stenosis of the aorta	The lattice-Boltzmann-based large eddy simulations for the stenosis of the aorta
stochastic embeddings	Enhancing out-of-distribution detection through stochastic embeddings in self-supervised learning
Stochastic Gradient Descent	Dynamic Growing and Shrinking of Neural Networks with Monte Carlo Tree Search
Stokes problem	Numerical Results and Convergence of Some Inf-Sup Stable Elements for the Stokes Problem with Pressure Dirichlet Boundary Condition
Strategic Roadmap	Advancing Organizational Performance: A Strategic Framework to Multiscale Modeling and Simulation
stratified optimization	Miniaturization-Oriented Design of Spline-Parameterized UWB Antenna for In-Door Positioning Applications
Stream cipher	Unsafe mechanisms of Bluetooth, E0 stream cipher cryptanalysis with quantum annealing
Stream Data Mining	A Perspective on the Ubiquity of Interaction Streams in Human Realm
Strong sustainability paradigm	Healthcare Resilience Evaluation Using Novel Multi-Criteria Method
Structural Health Monitoring	Damage detection using a Deep Autoencoder: exploring limits and confidence in diagnostics
Structure prediction	Accelerating Drug Discovery by Combining Machine-Learning and Physics-Based Methods
Student feedback	Evaluating Teacher’s Classroom Performance
Stylometry	Stylometric Analysis of Large Language Model-Generated Commentaries in the context of Medical Neuroscience
Super Resolution	Evaluating the impact of atmospheric CO2 emissions via super resolution of remote sensing data
Super-resolution	Combining OpenFOAM and Deep Learning for Minimizing the Spatial Discretization Error on Coarse Meshes
Superlattice	Rapid and Rigorous Learning Simulation Methodology with High Accuracy for Electronic and Optical Superlattices
SuperMUC-NG	Comparison of code coupling methodologies using HemeLB for blood flow simulations
surrogate modeling	Cost-Efficient Multi-Objective Design of Miniaturized Microwave Circuits Using Machine Learning and Artificial Neural Networks
Surrogate Modelling	Uncertainty Quantification and Machine Learning for High-Performance-Computing Plasma Physics Simulations
Surrogate models	Uncertainty Quantification at the Exascale
Surrogate-based optimization	Adaptive Hyperparameter Tuning within Neural Network-based Efficient Global Optimization
survival analysis	Understanding Survival Models through Counterfactual Explanations Global induction of oblique survival trees
Survival Patterns	Understanding Survival Models through Counterfactual Explanations
Sustainability	Healthcare Resilience Evaluation Using Novel Multi-Criteria Method Sustainability in the Digital Age: Assessing the Carbon Footprint of E-Commerce Platforms Energy- and Resource-Aware Graph-Based Microservices Placement in the Cloud-Fog-Edge Continuum.
sustainability assessment	A Novel Multi-Criteria Temporal Decision Support Method - Sustainability Evaluation Case Study
sustainable AI	Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation
sustainable society	A Novel Multi-Criteria Temporal Decision Support Method - Sustainability Evaluation Case Study
Sustainable technologies	Computational modelling of complex multiphase behavior of environmentally-friendly materials for sustainable technological solutions
SX-Aurora TSUBASA	An Asymptotic Parallel Linear Solver and Its Application to Direct Numerical Simulation for Compressible Turbulence
Symbolic Regression	Deep Neural Network for Constraint Acquisition through Tailored Loss Function
Synthetic and experimental data validation	Damage detection using a Deep Autoencoder: exploring limits and confidence in diagnostics
Synthetic data	Reduced Simulations for High-Energy Physics, a Middle Ground for Data-Driven Physics Research
synthetic journeys	Analysing Urban Transport Using Synthetic Journeys
T
T5	Assessing the Stability of Text-to-Text Models for Keyword Generation Tasks
Tactical Aircraft Deconfliction	Quantum variational algorithms for the aircraft deconfliction problem
task management	A working week simulation approach to forecast personal well-being
Task-Based Parallelism	Optimizing BIT1, a Particle-in-Cell Monte Carlo Code, with OpenMP/OpenACC and GPU Acceleration
Teacher evaluation	Evaluating Teacher’s Classroom Performance
teaching HPC	Teaching high-performance computing systems - a case study with parallel programming APIs: MPI, OpenMP and CUDA
Teaching standards	Analyzing Grade Inflation in Engineering Education
telemetry anomaly detection	Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Data
temporal expression extraction	XLTU: A Cross-Lingual Model in Temporal Expression Extraction for Uyghur
Temporal Velocity Profile	Velocity Temporal Shape Affects Simulated Flow in Left Coronary Arteries
tensor calculus	Fast Layout-Oblivious Tensor-Matrix Multiplication with BLAS
tensor contraction	Fast Layout-Oblivious Tensor-Matrix Multiplication with BLAS
Tensor Core	Low-ordered Orthogonal Voxel Finite Element with int8-Tensor Core for GPU-based Explicit Elastic Wave Propagation Analysis
Tensor decomposition	Clustering dynamic climate models: A higher-order clustering approach
Tensor methods	Clustering dynamic climate models: A higher-order clustering approach
Tensor Networks	Operator entanglement growth quantifies complexity of cellular automata
Terrain Coverage	Multiobjective Optimization of Complete Coverage and Path Planning
Text generation	Stylometric Analysis of Large Language Model-Generated Commentaries in the context of Medical Neuroscience
Text Mining	Quantifying Similarity: Text-Mining Approaches to Evaluate ChatGPT and Google Bard Content in Relation to BioMedical Literature
Thermal Conductivity	Integrated Multi-scale Model of Thermal Conductivity for Expanded Perlite Powder Vacuum Insulation Panels
thermodynamics of multicomponent mixtures	Computational Methods in Thermodynamics of Multicomponent Mixtures with Applications in Compositional Simulation
three-dimensional advection-diffusion equations	Fast simulations in augmented reality
Three-Dimensional Boundary Value Problems	Elimination of Computing Singular Surface Integrals in the PIES Method through Regularization for Three-Dimensional Potential Problems
Three-dimensional Ground Structure Model	Development of an Estimation Method for the Seismic Motion Reproducibility of a Three-dimensional Ground Structure Model by combining Surface-observed Seismic Motion and Three-dimensional Seismic Motion Analysis
Three-dimensional Seismic Motion Analysis	Development of an Estimation Method for the Seismic Motion Reproducibility of a Three-dimensional Ground Structure Model by combining Surface-observed Seismic Motion and Three-dimensional Seismic Motion Analysis
Threshold Optimization	Threshold Optimization in Constructing Comparative Network Models: A Case Study on Enhancing Laparoscopic Surgical Skill Assessment with Edge Betweenness
Time Series	Automated prediction of air pollution conditions in environment monitoring systems Visual Explanations and Perturbation-Based Fidelity Metrics for Feature-Based Models Human sex recognition based on dimensionality and uncertainty of gait motion capture data Time Series Predictions Based on PCA and LSTM Networks: a Framework for Predicting Brownian Rotary Diffusion of Cellulose Nanofibrils
Time Series Classification	Visual Explanations and Perturbation-Based Fidelity Metrics for Feature-Based Models A Dictionary-Based with Stacked Ensemble Learning to Time Series Classification
time-domain analysis	Accurate Post-Processing of Spatially-Separated Antenna Measurements Realized in Non-Anechoic Environments
topic modeling	Detecting negativity and dissensus in international talks Experiments with accounts of the Intergovernmental Panel on Climate Change sessions (2001-2022)
topic modelling	Trends in computational science: natural language processing and network analysis of 23 years of ICCS publications
Topography deformation	A highly efficient computational approach for wind-driven flows over deformable topography
Topologically-flexible antennas	Miniaturization-Oriented Design of Spline-Parameterized UWB Antenna for In-Door Positioning Applications
topology-agnostic antenna	Specification-Oriented Automatic Design of Topologically Agnostic Antenna Structure
Traditional Music	From Sound to Map: Predicting Geographic Origin in Traditional Music Works
traffic classification	A Framework for Intelligent Generation of Intrusion Detection Rules Based on Grad-CAM
training	Dynamic Growing and Shrinking of Neural Networks with Monte Carlo Tree Search
Training Assessment	Threshold Optimization in Constructing Comparative Network Models: A Case Study on Enhancing Laparoscopic Surgical Skill Assessment with Edge Betweenness
Training Time Reduction	Cascade training as a tree search with Dijkstra's algorithm
trans-mission	Plasma-assisted air cleaning decreases COVID-19 infections in a primary school: Modelling and experimental data
Transfer entropy	Simulation of Human Walking Avoiding Obstacles in an Individual with Motor Disability using a Deep Learning by Reinforcement Model
transfer learning	EsmTemp - Transfer Learning Approach for Predicting Protein Thermostability
Transformers	Residential building semantic segmentation based on deep network architecture for the evaluation of the development of suburban areas
translational computer science	Translational Computer Science
transmembrane proteins	TM-MSAligner: a tool for multiple sequence alignment of transmembrane proteins
Transportation	Non-equilibrium molecular dynamics investigation on the permeation characteristics of hydrogen in amorphous polyethylene
travel mode choice	Analysing Urban Transport Using Synthetic Journeys
Tree search	Cascade training as a tree search with Dijkstra's algorithm
Tree-search	PGAS Data Structure for Unbalanced Tree-Based Algorithms at Scale
Trigonometric sums	Parallel Vectorized Algorithms for Computing Trigonometric Sums Using AVX-512 Extensions
trust-region	Specification-Oriented Automatic Design of Topologically Agnostic Antenna Structure
Trust-region methods	Miniaturization-Oriented Design of Spline-Parameterized UWB Antenna for In-Door Positioning Applications TR-Based Antenna Design with Forward FD: the Effects of Step Size on the Optimization Performance
Tsunami simulations	Modeling Tsunami Waves at the Coastline of Valparaiso Area of Chile with Physics Informed Neural Networks
Turbulent flow	Modeling of Turbulent Flow over 2D Backward-Facing Step Using Generalized Hydrodynamic Equations The lattice-Boltzmann-based large eddy simulations for the stenosis of the aorta
Turbulent flows	File I/O Cache Performance of Supercomputer Fugaku Using an Out-of-core Direct Numerical Simulation Code of Turbulence
Turn flight	Effects of wind on forward and turning flight of flying cars using computational fluid dynamics
Twitter Bot Detection	BotRGA: Neighborhood-Aware Twitter Bot Detection with Relational Graph Aggregation
two-dimensional wave equations	Fast simulations in augmented reality
two-grid algorithm	Adaptive multi-level algorithm for nonlinear problems
U
Ukraine	Application of Neural Graphics Primitives Models for 3D Representation of Devastation Caused by Russian Aggression in Ukraine
Ultraweak Formulation	Optimizing Robust Variational Physics-Informed Neural Networks using Least Squares
Uncertainties	Enhancing the Parallel UC2B Framework: Approach Validation and Scalability Study
Uncertainty	Solving multi-connected BVPs with uncertainly defined complex shapes
uncertainty estimation	Enhancing out-of-distribution detection through stochastic embeddings in self-supervised learning
Uncertainty Management	A cross-domain perspective to Clustering with Uncertainty
Uncertainty Modelling	A cross-domain perspective to Clustering with Uncertainty
Uncertainty Quantification	Uncertainty quantification for high dimensional parameter spaces: physics-based versus AI models Predicting Forced Migration Movements: A Sensitivity Analysis Approach Uncertainty Quantification and Machine Learning for High-Performance-Computing Plasma Physics Simulations Uncertainty Quantification at the Exascale Uncertainty Quantification in Exascale Simulations: A Panel Discussion Software Environment for Actionable and VVUQ-evaluated Exascale Applications toolkit
Unet	Segmentation of Cytology Images to Detect Cervical Cancer Using Deep Learning Techniques
uninorm	Automated Discovery of Concurrent Models of Decision-Making Systems from Data
Unite and Conquer Approach	Enhancing the Parallel UC2B Framework: Approach Validation and Scalability Study
United Nations	Disentangling Multilateral Diplomacy: Insights from an analyis citation pattern within UN Security Council Resolutions
United Nations Security Council	A data science approach to measure gridlock within the UN Security Council from 1946 to 2023
Unmanned Aerial Vehicles	Multiobjective Optimization of Complete Coverage and Path Planning
Unstructured Conservative Level-Set Method	Unstructured flux-limiter convective schemes for simulation of transport phenomena in two-phase flows
Unstructured Flux-Limiters	Unstructured flux-limiter convective schemes for simulation of transport phenomena in two-phase flows
Unstructured Meshes	Unstructured flux-limiter convective schemes for simulation of transport phenomena in two-phase flows
Unsupervised Learning	A cross-domain perspective to Clustering with Uncertainty Representation learning in multiplex graphs: Where and how to fuse information? Clustering dynamic climate models: A higher-order clustering approach
Upper Bounds	Best of both worlds: solving the Cyclic Bandwidth problem by combining pre-existing knowledge and Constraint Programming techniques
Usability Testing	CrimeSeen: An Interactive Visualization Environment for Scenario Testing on Criminal Cocaine Networks
User interface	Sustainability in the Digital Age: Assessing the Carbon Footprint of E-Commerce Platforms
Uyghur	XLTU: A Cross-Lingual Model in Temporal Expression Extraction for Uyghur
V
Vacuum Insulation Panel	Integrated Multi-scale Model of Thermal Conductivity for Expanded Perlite Powder Vacuum Insulation Panels
VAE	A Multi-Domain Multi-Task Approach for Feature Selection from Bulk RNA Datasets
Validation	Software Environment for Actionable and VVUQ-evaluated Exascale Applications toolkit
variable mass	Modeling the Dynamics of a Multi-Planetary System with Anisotropic Mass Variation
variable-fidelity EM analysis	Expedited Machine-Learning-Based Global Design Optimization of Antenna Systems Using Response Features and Multi-Fidelity EM Analysis
Variational autoencoder	Ensemble Kalman filter in latent space using a variational autoencoder pair
Variational data assimilation	Neural Network as Transformation Function in Data Assimilation
Variational Physics-informed Neural Networks	Adaptive Deep Fourier Residual method for solving PDEs on polygonal domains
Variational Quantum Algorithms	Adaptive Sampling Noise Mitigation Technique for Feedback-based Quantum Algorithms
Vector system	An Asymptotic Parallel Linear Solver and Its Application to Direct Numerical Simulation for Compressible Turbulence
Vectorization	Parallel Vectorized Algorithms for Computing Trigonometric Sums Using AVX-512 Extensions
vehicle electrification	Towards a Next Generation Simulation Platform for Vehicle Electrification Planning
Verification	Software Environment for Actionable and VVUQ-evaluated Exascale Applications toolkit
VHDL	Calculation of the Sigmoid Activation Function in FPGA Using Rational Fractions
Virtual clinical trial	A "Virtual Clinical Trial” for evaluation of intelligent monitoring of exacerbation level for COPD patients
virtual reality	HarVI: Real-time intervention planning for coronary artery disease using machine learning
Virtual reality (VR)	Evaluating the Impact of Incorporating Natural Elements into Urban Environments Using PBP Methodology in Immersive Virtual Reality
Visegrad Group	Deep neural networks for assessing financial status of companies: Binary and Multi-class approach
Visualizations	Visual Explanations and Perturbation-Based Fidelity Metrics for Feature-Based Models
Vortex	Implementation of the QGD algorithm using AMR technology and GPU parallel computing
VRS (Vortex Ring State)	Flow Field Analysis in Vortex Ring State using Small Diameter Rotor by Descent Simulation
VTE	Development of a VTE prediction model based on automatically selected features in glioma patients
W
Wave eigenvalue problems	Rapid and Rigorous Learning Simulation Methodology with High Accuracy for Electronic and Optical Superlattices
Wave equations	Modeling Tsunami Waves at the Coastline of Valparaiso Area of Chile with Physics Informed Neural Networks
Web Simulator	MonoWeb: cardiac electrophysiology web simulator
weighted Hamming metric	PCA dimensionality reduction for categorical data
Well-being	Evaluating the Impact of Incorporating Natural Elements into Urban Environments Using PBP Methodology in Immersive Virtual Reality
Wiener Process	Neural Dynamics in Parkinson's Disease: Integrating Machine Learning and Stochastic Modelling with Connectomic data
wildfire management	Optimizing Prescribed Burn Risk Management: A Computational and Economic Modeling Approach Using QUIC FIRE Simulations
Wind Turbines	Explainable hybrid semi-parametric model for prediction of power generated by wind turbines
Wind-driven flows	A highly efficient computational approach for wind-driven flows over deformable topography
Wireless sensor networks	Enhancing Lifetime Coverage in Wireless Sensor Networks: A Learning Automata Approach
Wolfram Mathematica	Modeling the Dynamics of a Multi-Planetary System with Anisotropic Mass Variation
Worfklow	Machine Learning Workflows in the Computing Continuum for Environmental Monitoring
working week	A working week simulation approach to forecast personal well-being
Wrong convergence	Numerical Results and Convergence of Some Inf-Sup Stable Elements for the Stokes Problem with Pressure Dirichlet Boundary Condition
WZ factorization	Energy Efficiency of Multithreaded WZ Factorization with the use of OpenMP and OpenACC on CPU and GPU
X
XAI	Visual Explanations and Perturbation-Based Fidelity Metrics for Feature-Based Models
XOR problem	Logical functions on a single product unit}
Z
Zephyr-OS	uChaos: Moving Chaos Engineering To IoT Devices
Zernike moments	Rotationally invariant object detection on video using Zernike moments backed with integral images and frame skipping technique
zero-shot learning	Target-phrase Zero-shot Stance Detection: Where Do We Stand?