ICCS 2026: 26TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE

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

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3D clay printing	Non-destructive characterization of clay-printed components using mobile CT imaging in sustainable additive manufacturing
3D Gaussian Splatting	HuSc3D: Human Sculpture dataset for 3D object reconstruction
3D medical imaging	PyRadiomics-cuda: 3D features extraction from medical images for HPC using GPU acceleration
3D modeling	A personalized brain atlas for everyone: unlocking new frontiers for individuals, humanity, science, and artificial intelligence
3D problems	Enhanced Near-Boundary Accuracy in the PIES Method Using a Regularized Integral Identity for Three-Dimensional Potential Problems
3D reconstruction	What Do Neural Radiance Fields Offer for 3D Human Reconstruction?
3D segmentation	3D Segmentation of Coronary Arteries in Computer Tomography Angiography
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6LoWPAN	Throughput and Reliability Trade-Offs of 6LoWPAN in Low-Power IoT and Smart Systems
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AAV	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Abdominal aneurysms	Anatomy-Informed Deep Learning for Abdominal Aortic Aneurysm Segmentation
accelerators	ACTS: Cross-experiment charged particle reconstruction toolkit
Access control	An Efficient User-Kernel Access Control Scheme for Lightweight Data Connectors
ACO	Constrained graph generation: Preserving diameter and clustering coefficient simultaneously
adaptive graph exploration	Decision--Centric Network Sensing: Topology-Aware Control of Adaptive Graph Exploration
adaptive modulation	Glial Gating: Biologically Inspired Channel Modulation and Pruning for Convolutional Networks
Adaptive resolution	Adaptive Resolution Scheme for Non-additive Molecular Three-Body Potentials
adaptive simulation	Controlling Structure Under Uncertainty: Decision-Theoretic Topology for Extreme-Scale Scientific Simulation
Additive manufacturing	Computational Microstructure Analysis of Sintered Ceramics
Adhesive dynamics	Multiscale Modeling of Shear-Dependent Tumor Cell Adhesion
adult learning	Computational Andragogy: Designing Accountable Practice in Computational Science
Advection-diffusion problem	Three-dimensional Collocation-based Robust Variational Physics Informed Neural Networks
Agent Based Model	An Agent Based Model of Effects of Sleep Deprivation on Suicidality
Agent Based Modeling	From Formal Specifications to Executable Simulations: A Computation-Driven Metasystem for Agent-Based Modeling
Agent-Based Model	Beyond Black-Box Agents: Explainable and Validatable Generative ABMs
agent-based modeling	Individual Decision-Making in Coupled Agent-Environment Systems Transport Network Topology as a Determinant of Forced Displacement Dynamics: Case Study of Rail-Based Evacuation from Ukraine Credible Agent-Based Modeling of Crisis Evacuation: A Dual-Process Cognitive Architecture
Agent-Based Modelling	Methodological Evolution and Knowledge Management in a Displacement Modelling Project: From Research Prototype to UNHCR Policy Tool The Road to Flee 4: Food Security Coupling Revisited Studying the Effects of Climate Factors on Forced Migration Models: The Case of South Sudan
Agricultural robotics	Vision-Guided Agricultural Robot for Crop Detection Using Edge Computing on Embedded Hardware
Agricultural sustainability	Quantifying Sustainability Transitions in European Agriculture: A Reproducible Workflow for Socioecological Indicator Calculation
AI	A personalized brain atlas for everyone: unlocking new frontiers for individuals, humanity, science, and artificial intelligence Emergent Spatial Traps in the Coevolutionary Commons: Human-AI Cooperation under Environmental Feedback
AI education	Computational Andragogy: Designing Accountable Practice in Computational Science
AI hallucinations	Trustworthy Molecular AI: Multi-Dimensional Validation of LLM Generated Chemical Descriptions
AI weather models	Mechanistic Interpretability Tool for AI Weather Models
AI workloads	Containers Are (Almost) Free: Energy and Performance Analysis of AI Workloads under CPU Virtualization and GPU Power Capping
AIN	Computing Wasserstein Distances Between Asymmetric Interval Numbers Exponentiation Operators for Asymmetric Interval Numbers and Their Properties
Air pollution	A Two-Stream CNN Framework for Spatiotemporally Resolved NO2 Estimates Using TEMPO and Sentinel-2 Satellite Data
Alert Noise Reduction	From Alert Flood to Actionable Intelligence: Reconstructing Attack Chains via TTP Sequences Using LLMs and RAG
Algorithm configuration	Parameter Prediction Under Ambiguity: Single-Target vs. Multi-Choice Models for IEA Configuration on QAP
alignment	Emergent Spatial Traps in the Coevolutionary Commons: Human-AI Cooperation under Environmental Feedback Think Like a Researcher: A Dataset for Scientific Ideation with Large Language Models
Alternating direction solver	Isogeometric alternating-directions CO2 sequestration simulator
anisotropic flow	A Novel Tensor Resistance-Based Pore-Network Model for Pore-Scale Fluid Flow in Porous Media
annotator heterogeneity	Modeling Multi-Rater Behavior with Bayesian Nonparametric MIRT: Inferring Latent Traits and Group Structure
Antenna Design Evaluation	Convolutional Neural Network-Based Prediction of Reflection Response for Free-Form Antenna Designs
Antenna Design Generation	Automated Machine Learning Framework for Generating Pseudorandom Antenna Designs Conditioned on Operational Frequency Range
Antenna engineering	Multi-Fidelity Model Management Strategy for Accelerated Antenna Optimization Fast Multi-Objective Antenna Design by ANN-Based Machine Learning with Gradient-Based Design Enhancement
antenna reconstruction	Accurate Image-Based Reconstruction of Non-Parametric Antenna EM-Simulation Models
Anxiety	Machine learning in the prediction of treatment response for emotional disorders: A systematic review and meta-analysis
application of game theory	A Case for Decentralized Model-Based Multi-Agent Reinforcement Learning
architecture search	Simulation based structural Optimization for Neural Network
ARIMA	Prediction and Causality of functional MRI and synthetic signal using a Zero-Shot Time-Series Foundation Model
Artificial intelligence	Initial Study on Cancer Diagnosis using AI/NLP and Expert System Integration PISC: Physics-Informed Scene Constraints Method for Markerless 3D Human Localization for Safe Human-Robot Collaboration Fourier Neural Operators for Rayleigh–Bénard Convection
Artificial Intelligence (AI)	Enhancing Critical Thinking with Multimodal Generative AI
Artificial Intelligence in Scientific Computing	TrustChain-RAG: A Blockchain-Anchored Context Graph Framework for Auditable Knowledge Mining in a Gated Environment
Assistive robotics	A distributed ROS2 architecture for low-cost navigation based on virtual boundary logic
Asymmetric Interval Numbers	Computing Wasserstein Distances Between Asymmetric Interval Numbers Exponentiation Operators for Asymmetric Interval Numbers and Their Properties
Atmospheric simulations	Time-slices based training of Physics Informed Neural Networks for 3D Non-Stationary Thermal Inversion Simulations Three-dimensional Collocation-based Robust Variational Physics Informed Neural Networks
Attention Mechanism	Multi-Stream CNN with Attention for Single-Image Face Spoofing Detection
Attribute importance	Attribute Importance in Conflict Models: Using Clustering Metrics and Bi‑Coalitions for Issue Evaluation
Audit Trail	TrustChain-RAG: A Blockchain-Anchored Context Graph Framework for Auditable Knowledge Mining in a Gated Environment
Authenticated Group Key Agreement	GroupTEE: Efficient Group-Oriented Secure Channel Establishment for TEEs
auto quantum machine learning	Auto Quantum Machine Learning for Multisource Classification
autoencoder	Scalable Hierarchical Graph Autoencoders for Latent 3D-Variational Assimilation in a Coupled Earth-system Model Comparison of Epistemic Uncertainty Quantification Methods for Out-of-Distribution Detection in Autoencoder–RNN Surrogate Model of Molecular-Continuum Flow Simulations
Autoencoders	Learning Latent Economic Dynamics of Floods
Automated Antenna Engineering	Automated Machine Learning Framework for Generating Pseudorandom Antenna Designs Conditioned on Operational Frequency Range
Automatic Differentiation	Pore-Scale Modeling Framework with Embedded Boundaries and Automatic Jacobian Construction Infusing Computational Science into Computer Science: A Nifty SIMD Assignment Dynamic Matrix Compression: A New Perspective on Two-Phase Flows
autonomous agents	A Case for Decentralized Model-Based Multi-Agent Reinforcement Learning
Autonomous multi-agents	Data-Driven Structural Optimization of Descriptive Norms: Bridging Micro and Macro Dynamics in Medical Contexts
Autonomous navigation	A distributed ROS2 architecture for low-cost navigation based on virtual boundary logic
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Basket Recommendation	Personalized Next-Basket Recommendation with Interpretable Cycle-Aware Purchase Modeling
Bat algorithm	Analysis of Parameter Settings for the Bat Algorithm Using Variance Evolution
Bayesian MIRT	Modeling Multi-Rater Behavior with Bayesian Nonparametric MIRT: Inferring Latent Traits and Group Structure
Bayesian Optimization	Bayesian-optimized Neural Network for Evaluating the Operational Range of Freeform Microstrip Antennas
bead-spring model	Coarse-grained bead-spring model and machine-learning for in-silico rheology
Behavioral Consistency Modeling	Host Behavioral Consistency Modeling for Causal and Interpretable Intrusion Detection
behavioral modeling	Design-Ready Microwave Modeling by Spatial and Dimensional Domain Restriction
Behaviour Oriented Concurrency	When One Becomes n: Realizing Distributed Concurrency with ARBOC
benchmark and dataset	HuSc3D: Human Sculpture dataset for 3D object reconstruction
Benchmarking	An Empirical Evaluation of HPC Processors for a Coupled Scientific Simulation
BERTopic	A Per-Cluster Multi-Scale Topic Modeling Framework with Unstructured and Heterogeneous Text Corpora
Bi-coalitions	Attribute Importance in Conflict Models: Using Clustering Metrics and Bi‑Coalitions for Issue Evaluation
Bifurcating Vessels	A Scalable Numerical Framework for Predicting Particle Transport in Bifurcating Vascular Networks
Big Data	RACCOONS: Data Management Library for High-Performance Astrometric Reduction Pipelines
Bioinformatics	A Parallel and Vectorized Implementation of the McCaskill Algorithm for x86-64 and RISC-V Architectures
Biological Network	Network Curvature as a Geometric Biomarker for Identifying Disease-related Subnetworks
Biomechanics	Investigating the Influence of Red Blood Cell Heterogeneity on Cell Transport and Blood Flow Hemodynamics
Biomedical Data	Rule-Based Federated Learning for Healthcare
Biot model	On a Class of Higher-Order Fully Decoupled Schemes for the Biot Model
Blockchain	TrustChain-RAG: A Blockchain-Anchored Context Graph Framework for Auditable Knowledge Mining in a Gated Environment
brain atlas	A personalized brain atlas for everyone: unlocking new frontiers for individuals, humanity, science, and artificial intelligence
Brain connectome	Network Curvature as a Geometric Biomarker for Identifying Disease-related Subnetworks
bulk lightning model	Multigrid Solver for a Bulk Lightning Model Coupled with a Meteorological Model with Terrain-Following Coordinates
BVP	Acceleration of computing domain solutions by the IFPIES
Bézier Curves	Asymptotics in Curve Estimation Based on Partial Fitting with Piecewise Bézier Cubics
C
C++	ACTS: Cross-experiment charged particle reconstruction toolkit
Cache replacement	An Efficient User-Kernel Access Control Scheme for Lightweight Data Connectors
Calorimeter Simulation	Generative ML for Future Calorimeter Simulation Improving the efficiency and precision of data-driven surrogates for Monte-Carlo particle transport in the ALICE experiment
CaMa-Flood model	Deep Data Assimilation for Operational AI-Based Flood Forecasting Using Multi-Source Earth Observations
Cancer Diagnosis supporting systems	Initial Study on Cancer Diagnosis using AI/NLP and Expert System Integration
Capacity Control	Progressive Representation Merging for Data-Scarce Polymer Property Modeling
Causal Loop Diagram	Graph-Theoretical Analysis of the Gut-Microbiome-Brain Axis: Identifying Mediators of Suicidal Ideation
Centerline	3D Segmentation of Coronary Arteries in Computer Tomography Angiography
CER	Reframing Cybersecurity Education through Technical, Organisational, and Regulatory Integration: Google Grant Implementation Case Study at WUT
Cervical cancer	Uncertainty-Aware Multi-Task Deep Learning Framework for Cervical Lesion Segmentation and Classification
CFD	Mechanistic Modeling of Vorticity-Facilitated Platelet Aggregation in Stenotic Expansions Comparative Study of Numerical Analysis and Wind Tunnel Experiments on the Flight Behavior of a Quadcopter Drone under Disturbance Winds
chromatic aberration	ViT-SpSH: A Hybrid Transformer-Spectral Head Architecture for Chromatic Aberration Detection and Localization
Chronophysiomics
CineECG	Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution
Class imbalance	Handling Class Imbalance in Coalition-Based Distributed Classification with Decision Rule Induction
Classification	Uncertainty-Aware Multi-Task Deep Learning Framework for Cervical Lesion Segmentation and Classification Detecting Feature Drift by Monitoring Feature-Rank Stability in Data Streams Employing Neo-Psychometric Natural Language Processing in Classification of Anti-Trans Social Media Posts
Clickbait detection	Clickbait detection: quick inference with maximum impact
Climate decision-making	Individual Decision-Making in Coupled Agent-Environment Systems
Climate Variability	Studying the Effects of Climate Factors on Forced Migration Models: The Case of South Sudan
closed-loop acquisition	Generative Control of k-Space: \\A Foundation-Model Approach to Self-Optimizing MRI with Transformers, Diffusion Priors, and Adversarial Consistency
Cloud Computing	CNASIM: A Customizable Simulation Library for Cloud-Native Application Performance Modeling
cloud-edge continuum	Data Management and I/O Provisioning Across Cloud-Edge Continuum for High-performance Computational Data Pipelines
Cluster file systems	Aggregating Columnar Data on Cluster File Systems
CNN	The Spatial and Temporal Resolution of Motor Intention in Multi-Target Prediction
Co-design	Methodological Evolution and Knowledge Management in a Displacement Modelling Project: From Research Prototype to UNHCR Policy Tool
CO2 Leakage	Numerical Modeling of Electromigration Effects for Subsurface Geological Carbon Sequestration
CO2 sequestration	Isogeometric alternating-directions CO2 sequestration simulator
Coalition-based modeling	Handling Class Imbalance in Coalition-Based Distributed Classification with Decision Rule Induction
coarse-grained networks	Coarse-grained bead-spring model and machine-learning for in-silico rheology
Code optimization	A Parallel and Vectorized Implementation of the McCaskill Algorithm for x86-64 and RISC-V Architectures
Collaborative Software	Key4hep - The Common Software Stack for Future Particle Physics Experiments
Collatz Conjecture	Student Research Achievements through Computational HPC Course Sequences
collective decision making	A Case for Decentralized Model-Based Multi-Agent Reinforcement Learning
Collocation method	Three-dimensional Collocation-based Robust Variational Physics Informed Neural Networks
Columnar data format	Aggregating Columnar Data on Cluster File Systems
Combinatorial Optimization	Parameter Prediction Under Ambiguity: Single-Target vs. Multi-Choice Models for IEA Configuration on QAP
complex systems	Data-Driven Structural Optimization of Descriptive Norms: Bridging Micro and Macro Dynamics in Medical Contexts Benchmarking Delft3D FM on HPC systems for real-life problems in surface water
Complex Systems Simulation	From Formal Specifications to Executable Simulations: A Computation-Driven Metasystem for Agent-Based Modeling
Complex-valued product-unit neural networks	Product units in gated recurrent units improve nuclear-mass prediction
computational andragogy	Computational Andragogy: Designing Accountable Practice in Computational Science
Computational Biometrics	Open-Set Vein Biometric Recognition with Deep Metric Learning
computational finance	Technical Indicators on Warsaw Stock Exchange: A Computational Study
Computational fluid dynamics	Topology-Aware Communication Optimization for CFD Simulations in OpenFOAM A Computational Framework for Evaluating Dynamic Motion Performance of Diversified eVTOLs using Fluid-Rigid Body Coupled Simulation with Route Tracking
Computational Fluid Dynamics (CFD)	A Scalable Numerical Framework for Predicting Particle Transport in Bifurcating Vascular Networks
computational hydraulics	A Novel Tensor Resistance-Based Pore-Network Model for Pore-Scale Fluid Flow in Porous Media
computational imaging	Generative Control of k-Space: \\A Foundation-Model Approach to Self-Optimizing MRI with Transformers, Diffusion Priors, and Adversarial Consistency
computational materials science	VirtMat Tools: Towards FAIR-Compliant Virtual Research Environments for Materials Modeling
Computational modeling	Mechanistic Modeling of Vorticity-Facilitated Platelet Aggregation in Stenotic Expansions
computational oncology	The Rise of Conversational Modeling in Predictive Oncology
Computational Optimization	Optimizing the Performance and Efficiency of a Hybrid Video Encoder in Java
Computational Pathology	Spatially refined transformer embeddings for accurate histopathology tissue classification
Computational Physics	PINNs for Electromagnetic Wave Propagation
Computational Psychology	Machine learning to predict mental health problems in early childhood using behavioral screening questionnaires
Computational Science	Infusing Computational Science into Computer Science: A Nifty SIMD Assignment
computational thinking	Computational Andragogy: Designing Accountable Practice in Computational Science
Computational Trust	TrustChain-RAG: A Blockchain-Anchored Context Graph Framework for Auditable Knowledge Mining in a Gated Environment
Computed Tomography	MAGGNet: Guided Volumetric Metal Artefact Synthesis for Computed Tomography Scans
computer graphics	A personalized brain atlas for everyone: unlocking new frontiers for individuals, humanity, science, and artificial intelligence
Computer Graphics and Modelling	Asymptotics in Curve Estimation Based on Partial Fitting with Piecewise Bézier Cubics
Computer Vision	Text-to-Conditioned Abdominal CT Image Generation with ControlNet View-Independent 3D Gait Recognition Using Sequence-Based Siamese Networks PISC: Physics-Informed Scene Constraints Method for Markerless 3D Human Localization for Safe Human-Robot Collaboration Vision-Guided Agricultural Robot for Crop Detection Using Edge Computing on Embedded Hardware Proactive Detection of Pedestrian Crossing Occlusions: Transforming Dashcams into Mobile Smart City Sensors Plausible Visual Counterfactual Explanations in Latent Space with Normalizing Flows An Ensemble CNN Transfer Learning Model for Wheat Grain Classification
computer-aided design	Accurate Image-Based Reconstruction of Non-Parametric Antenna EM-Simulation Models
Concurrency	When One Becomes n: Realizing Distributed Concurrency with ARBOC
Conditional Variational Autoencoder	Automated Machine Learning Framework for Generating Pseudorandom Antenna Designs Conditioned on Operational Frequency Range
Confidential Computing	GroupTEE: Efficient Group-Oriented Secure Channel Establishment for TEEs
Conflict analysis	Attribute Importance in Conflict Models: Using Clustering Metrics and Bi‑Coalitions for Issue Evaluation Handling Class Imbalance in Coalition-Based Distributed Classification with Decision Rule Induction
Conformal Prediction	Conformal Prediction for Quantifying Uncertainty in Idealized Atmospheric Models
Consensus	Attribute Importance in Conflict Models: Using Clustering Metrics and Bi‑Coalitions for Issue Evaluation
constraint programming	From Table Constraints to QUBO Models for Quantum Annealing
Containers	Containers Are (Almost) Free: Energy and Performance Analysis of AI Workloads under CPU Virtualization and GPU Power Capping
Context Graphs	TrustChain-RAG: A Blockchain-Anchored Context Graph Framework for Auditable Knowledge Mining in a Gated Environment
Continuous data assimilation	Continuous Data Assimilation Enhanced Nonlinear Solvers for the p-Laplace Equation
continuous forward model	Integrated Continuous-to-Continuous Forward Modelling and Rebinning Strategies for Low-Dose CT with Flying Focal Spot
Continuous Sign Language Recognition	Geometry-aware Recognition of Mouth Articulations for Sign Language Understanding
ControlNet	Text-to-Conditioned Abdominal CT Image Generation with ControlNet
Conversational Modeling	The Rise of Conversational Modeling in Predictive Oncology
Conversational Query Reformulation	Could You Elaborate? A Multi-Perspective Evaluation of Query Reformulation in Retrieval-Augmented Generation
Convolutional Neural Network	Investigating Ensemble Reliability with CNN Post-Processing through Variance Decomposition Multi-Stream CNN with Attention for Single-Image Face Spoofing Detection
Convolutional Neural Networks	Convolutional Neural Network-Based Prediction of Reflection Response for Free-Form Antenna Designs Glial Gating: Biologically Inspired Channel Modulation and Pruning for Convolutional Networks An Ensemble CNN Transfer Learning Model for Wheat Grain Classification
cooperation	A Case for Decentralized Model-Based Multi-Agent Reinforcement Learning Emergent Spatial Traps in the Coevolutionary Commons: Human-AI Cooperation under Environmental Feedback
Copernicus	Quantifying Sustainability Transitions in European Agriculture: A Reproducible Workflow for Socioecological Indicator Calculation
CORDIC integer-only	Efficient Integer-Only Implementation of Tanh and Sigmoid for Embedded AI on RISC-V
Coronary arteries	3D Segmentation of Coronary Arteries in Computer Tomography Angiography
COSMO-RS	Multiscale modeling of solvent responsive gels: bridging COSMO-RS model with dissipative particle dynamics simulations
cost-efficient development	Accurate Image-Based Reconstruction of Non-Parametric Antenna EM-Simulation Models
Counterfactual explanations	Counterfactual User Guidance for Improving Transparent Hyperparameter Tuning Plausible Visual Counterfactual Explanations in Latent Space with Normalizing Flows
coupled earth-system model	Scalable Hierarchical Graph Autoencoders for Latent 3D-Variational Assimilation in a Coupled Earth-system Model
Coupled human–environment systems	Individual Decision-Making in Coupled Agent-Environment Systems
Coupled Simulations	An Empirical Evaluation of HPC Processors for a Coupled Scientific Simulation
Covariate adjustment	A Data-Driven Framework for Optimal Covariate Clustering in Genome-wide Association Interaction Studies
COVID-19	How to Enhance Classification Results of the Trained Models using Invariant Dataset Augmentation
crisis evacuation	Credible Agent-Based Modeling of Crisis Evacuation: A Dual-Process Cognitive Architecture
Critical Thinking	Enhancing Critical Thinking with Multimodal Generative AI
cross-attention	Mask Cross-Attention Transformer for Robust Exercise Recognition Under Execution-Speed Domain Shift
Cross-sensor	Mind the Gap: Quantifying the Domain Gap in Cross-Sensor Diffusion Super-Resolution
CT angiography	3D Segmentation of Coronary Arteries in Computer Tomography Angiography Anatomy-Informed Deep Learning for Abdominal Aortic Aneurysm Segmentation
CUDA	PyRadiomics-cuda: 3D features extraction from medical images for HPC using GPU acceleration GPU-Accelerated Number Theoretic Transform-Based Privacy Amplification for Quantum Key Distribution
Curriculum Development	Student Research Achievements through Computational HPC Course Sequences
Curriculum Learning	Scheduled Temporal Loss Weighting for Neural Operators
Cyber Threat Intelligence	From Alert Flood to Actionable Intelligence: Reconstructing Attack Chains via TTP Sequences Using LLMs and RAG
cybersecurity	Towards quantum machine learning for assessing the resilience of post-quantum cryptography
cybersecurity education	Reframing Cybersecurity Education through Technical, Organisational, and Regulatory Integration: Google Grant Implementation Case Study at WUT
cycle-dominators	A new concept of partial domination and algorithms for the directed feedback vertex set problem
D
Damage Detection	Satellite-based Conflict Damage Detection: Siamese CNNs for Forced Displacement Planning in Ukraine
Darcy flow	Quantum-Classical Hybrid Algorithms for Darcy Flow
Darcy/Darcy-Forchheimer Flow	Petrov-Galerkin Immersed Finite Element Approximation of Darcy/Darcy-Forchheimer Flow in Fractured Porous Media with Nonconforming Mesh
Dashcam footage	Proactive Detection of Pedestrian Crossing Occlusions: Transforming Dashcams into Mobile Smart City Sensors
Data	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Data access	Bridging Grid and HPC Computing for Data-Intensive Science: Scaling dCache for Modern Workflows
Data Assimilation	Aligning and Assimilating Multi-source Data for Flood Forecasting Conformal Prediction for Quantifying Uncertainty in Idealized Atmospheric Models Balancing Accuracy and Speed: A Multi-Fidelity Ensemble Kalman Filter with a Machine Learning Surrogate Model
Data connectors	An Efficient User-Kernel Access Control Scheme for Lightweight Data Connectors
data fusion	AI for Wildfire: Detection and Spread Forecasting via multi-source and multi-modal data-driven models Metric Learning Approach to Mineral Mapping Using Multi-Sensor Satellite Data
data I/O distributed filesystems	Data Management and I/O Provisioning Across Cloud-Edge Continuum for High-performance Computational Data Pipelines
Data Integration	Studying the Effects of Climate Factors on Forced Migration Models: The Case of South Sudan
data management	Data Management and I/O Provisioning Across Cloud-Edge Continuum for High-performance Computational Data Pipelines
data pipelines	Data Management and I/O Provisioning Across Cloud-Edge Continuum for High-performance Computational Data Pipelines
Data Policy	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
data processing pipeline	Asapo: a data streaming platform for high performance data processing pipelines
Data Quality	What properties of reasoning supervision are associated with improved downstream model quality?
Data quality assurance	Trustworthy Data Foundations for AI-Driven Analytics in Distributed IoT: A Validation-First Methodology
data reduction rules	Domination data reduction rules for the directed feedback vertex set problem A new concept of partial domination and algorithms for the directed feedback vertex set problem
Data Scarcity	Progressive Representation Merging for Data-Scarce Polymer Property Modeling
Data Sovereignty	TrustChain-RAG: A Blockchain-Anchored Context Graph Framework for Auditable Knowledge Mining in a Gated Environment
data streaming	Asapo: a data streaming platform for high performance data processing pipelines
Data Unpacking	Bit Level Data Unpacking Using Heterogeneous Architecture Setups
Data-driven epidemiological models	A Fractional Physics-Informed Neural Network with Ensemble Learning for Dengue Forecasting
Data-Driven Weather Forecasting	PINN-Cast: Exploring the Role of Continuous-Depth NODE in Transformers and Physics Informed Loss as Soft Physical Constraints in Short-term Weather Forecasting
Dataset distillation	Feature extractor comparison for distribution matching framework in dataset distillation
Dataset Evaluation	What properties of reasoning supervision are associated with improved downstream model quality?
dCache	Bridging Grid and HPC Computing for Data-Intensive Science: Scaling dCache for Modern Workflows
DDS	A distributed ROS2 architecture for low-cost navigation based on virtual boundary logic
decentralized methods	A Case for Decentralized Model-Based Multi-Agent Reinforcement Learning
Decision making	Proactive Forecasting with a Digital Twin in Emergency Departments: Preserving Key Performance Indicators Values
decision support system	Navigating Uncertainty: A Framework for Benchmarking Decision Quality in Fuzzy Petri Nets
decision support systems	Modelling Human Optimal Seeking Behaviour During Evaluation of Process Models With Subjective Complexity
Decision Transformer	From Offline Trajectories to Steering Decisions: Decision Transformers for Probabilistic Geosteering
Decision Trees	When Decisions Are Blocked: Inhibitory Rules Induced from Tree Ensembles
decision-centric computation	Controlling Structure Under Uncertainty: Decision-Theoretic Topology for Extreme-Scale Scientific Simulation
decision-centric computing	Decision--Centric Network Sensing: Topology-Aware Control of Adaptive Graph Exploration
decision-centric imaging	Generative Control of k-Space: \\A Foundation-Model Approach to Self-Optimizing MRI with Transformers, Diffusion Priors, and Adversarial Consistency
Deep Data Assimilation	Deep Data Assimilation for Operational AI-Based Flood Forecasting Using Multi-Source Earth Observations
Deep Learning	Text-to-Conditioned Abdominal CT Image Generation with ControlNet MAGGNet: Guided Volumetric Metal Artefact Synthesis for Computed Tomography Scans Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution Rapid Identification of Soil Contamination by Pathogenic Fungi Using Single-Instance Driven Convolutional Neural Networks ViT-SpSH: A Hybrid Transformer-Spectral Head Architecture for Chromatic Aberration Detection and Localization Comparative study of Linear Attention Architectures for Geopotential Height Forecasting A Two-Stream CNN Framework for Spatiotemporally Resolved NO2 Estimates Using TEMPO and Sentinel-2 Satellite Data How to Enhance Classification Results of the Trained Models using Invariant Dataset Augmentation
Deep Learning Fusion	Proactive Detection of Pedestrian Crossing Occlusions: Transforming Dashcams into Mobile Smart City Sensors
Deep Metric Learning	Open-Set Vein Biometric Recognition with Deep Metric Learning
Deep Neural Operators
Deep unfolding	Data Assimilation with surrogate measurement equations
Delayed Reaching Task	The Spatial and Temporal Resolution of Motor Intention in Multi-Target Prediction
Dengue forecasting	A Fractional Physics-Informed Neural Network with Ensemble Learning for Dengue Forecasting
density distribution	Non-destructive characterization of clay-printed components using mobile CT imaging in sustainable additive manufacturing
Depression	Machine learning in the prediction of treatment response for emotional disorders: A systematic review and meta-analysis
Depression Contagion	A Generative Multi-Agent Framework for Modeling Depressive Language Entrainment
Dermoscopic images	How to Enhance Classification Results of the Trained Models using Invariant Dataset Augmentation
Descriptive norm	Data-Driven Structural Optimization of Descriptive Norms: Bridging Micro and Macro Dynamics in Medical Contexts
Detector Simulation	Generative ML for Future Calorimeter Simulation
Diameter estimation	3D Segmentation of Coronary Arteries in Computer Tomography Angiography
Differentiable Design	An Implicitly Differentiable Framework for Physics-Informed Wind Turbine Blade Design Optimization
Diffusion	Mind the Gap: Quantifying the Domain Gap in Cross-Sensor Diffusion Super-Resolution
Diffusion Model	SG-DiT: Semantic-Guided Sign Language Anonymization Balancing Privacy and Linguistic Fidelity
Diffusion models	Text-to-Conditioned Abdominal CT Image Generation with ControlNet A Unified Autoregressive-Diffusion Framework for Stable Long-Horizon and High-Resolution Multiscale Flow Modeling
Digital twin	Proactive Forecasting with a Digital Twin in Emergency Departments: Preserving Key Performance Indicators Values
Digital Twins	Generative ML for Future Calorimeter Simulation From Formal Specifications to Executable Simulations: A Computation-Driven Metasystem for Agent-Based Modeling Instrumenting Lightweight, Modular Machine Learning Training and Inference in Parallel Solvers
Dimensionality Reduction	Design-Ready Microwave Modeling by Spatial and Dimensional Domain Restriction Spatially refined transformer embeddings for accurate histopathology tissue classification
DINO	Hybrid Privacy-preserving Histopathological Image Classification Using Fully Homomorphic Encryption Hyper-DINO: Efficient Hyperbolic Embeddings for Histopathological Content-Based Image Retrieval
directed feedback vertex set	Domination data reduction rules for the directed feedback vertex set problem A new concept of partial domination and algorithms for the directed feedback vertex set problem
Dirichlet process	Modeling Multi-Rater Behavior with Bayesian Nonparametric MIRT: Inferring Latent Traits and Group Structure
Discrete Event Simulation	CNASIM: A Customizable Simulation Library for Cloud-Native Application Performance Modeling
Dispersed Data Classification	Cross-Validation-Based Hierarchical Decision Tree Framework for Dispersed Data Classification
Distance	Computing Wasserstein Distances Between Asymmetric Interval Numbers
Distributed classification	Handling Class Imbalance in Coalition-Based Distributed Classification with Decision Rule Induction
distributed computing	Topology-Agnostic Antennas: Surrogate-Assisted Optimization of Fabrication Yield in a Distributed Setup A distributed ROS2 architecture for low-cost navigation based on virtual boundary logic
Distributed Data	When Decisions Are Blocked: Inhibitory Rules Induced from Tree Ensembles Greedy Algorithm for Modeling Approximate Decision Trees for Distributed Decision Tables
Distributed Decision Table	Greedy Algorithm for Modeling Approximate Decision Trees for Distributed Decision Tables
Distributed IoT systems	Trustworthy Data Foundations for AI-Driven Analytics in Distributed IoT: A Validation-First Methodology
Distributed parallel writing	Aggregating Columnar Data on Cluster File Systems
Distributed Systems	When One Becomes n: Realizing Distributed Concurrency with ARBOC
Distribution matching	Feature extractor comparison for distribution matching framework in dataset distillation
diurnal NO2	A Two-Stream CNN Framework for Spatiotemporally Resolved NO2 Estimates Using TEMPO and Sentinel-2 Satellite Data
DNA storage	Scaling Encodings to Larger Alphabets for Peptide-Based Data Storage
domain confinement	Design-Ready Microwave Modeling by Spatial and Dimensional Domain Restriction
domain decomposition	A Novel Tensor Resistance-Based Pore-Network Model for Pore-Scale Fluid Flow in Porous Media
Domain Shift Analysis	Open-Set Vein Biometric Recognition with Deep Metric Learning
domain-specific language	Reducing unnecessary computations in materials modeling VirtMat Tools: Towards FAIR-Compliant Virtual Research Environments for Materials Modeling
domination in graphs	A new concept of partial domination and algorithms for the directed feedback vertex set problem
domination rules	Domination data reduction rules for the directed feedback vertex set problem
dominators in graphs	A new concept of partial domination and algorithms for the directed feedback vertex set problem
DORA	Reframing Cybersecurity Education through Technical, Organisational, and Regulatory Integration: Google Grant Implementation Case Study at WUT
DPD	Multiscale modeling of solvent responsive gels: bridging COSMO-RS model with dissipative particle dynamics simulations
drift detection	Detecting Feature Drift by Monitoring Feature-Rank Stability in Data Streams
Drug discovery	Trustworthy Molecular AI: Multi-Dimensional Validation of LLM Generated Chemical Descriptions
dual-process theory	Credible Agent-Based Modeling of Crisis Evacuation: A Dual-Process Cognitive Architecture
Dynamic risk perception	Individual Decision-Making in Coupled Agent-Environment Systems
E
E-Graphs	Viability of Parallelization of Saturation and Extraction Algorithms for E-Graphs
Early Child Development	Machine learning to predict mental health problems in early childhood using behavioral screening questionnaires
Earth Observation	Deep Data Assimilation for Operational AI-Based Flood Forecasting Using Multi-Source Earth Observations
eBPF	An Efficient User-Kernel Access Control Scheme for Lightweight Data Connectors
Edge computing	Vision-Guided Agricultural Robot for Crop Detection Using Edge Computing on Embedded Hardware
Education	Infusing Computational Science into Computer Science: A Nifty SIMD Assignment Enhancing Critical Thinking with Multimodal Generative AI
Electrical double layer	Numerical Modeling of Electromigration Effects for Subsurface Geological Carbon Sequestration
Electrocardiogram	Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution
Electroencephalogram (EEG)	A Comparative Analysis of EEG Network Construction Strategies for Discriminating PNES
Electromagnetic Wave Propagation	PINNs for Electromagnetic Wave Propagation
Electromigration	Numerical Modeling of Electromigration Effects for Subsurface Geological Carbon Sequestration
Elementary School Students	Enhancing Critical Thinking with Multimodal Generative AI
EM simulations	Accurate Image-Based Reconstruction of Non-Parametric Antenna EM-Simulation Models
Embedded boundary	Pore-Scale Modeling Framework with Embedded Boundaries and Automatic Jacobian Construction
Embedded systems	Vision-Guided Agricultural Robot for Crop Detection Using Edge Computing on Embedded Hardware A distributed ROS2 architecture for low-cost navigation based on virtual boundary logic
embedding	Embedding-based Methods for Linear Solver Performance Prediction
Embedding Methods	Recommendation system for education - an approach to suggesting learning sequences
Embedding-Based Topic Modeling	A Per-Cluster Multi-Scale Topic Modeling Framework with Unstructured and Heterogeneous Text Corpora
Embeddings	Clickbait detection: quick inference with maximum impact
Emergency department	Proactive Forecasting with a Digital Twin in Emergency Departments: Preserving Key Performance Indicators Values
emergency imaging	Integrated Continuous-to-Continuous Forward Modelling and Rebinning Strategies for Low-Dose CT with Flying Focal Spot
Emergency Recovery Parachute	Fluid–Structure Interaction Simulation of an Emergency Recovery Parachute for a Flying Car
EMG	The Spatial and Temporal Resolution of Motor Intention in Multi-Target Prediction
emulsion templating	Phase Morphology of Ternary Mixtures under Shear
Encrypted images	Reversible Data Hiding in Encrypted Images using Kernel-based Prediction and Delta-Huffman Coding
Endothelial barrier integrity	A Multiscale Modelling Framework for Endothelial Cells Monolayers: From RhoGTPase Network Dynamics to Barrier Integrity
energy and resources management	Balancing Energy, Resource Utilization, and Performance in HPC System Operations
energy efficiency	Reducing unnecessary computations in materials modeling
Energy Efficiency	A Computational Framework for Evaluating Dynamic Motion Performance of Diversified eVTOLs using Fluid-Rigid Body Coupled Simulation with Route Tracking
Energy stability	On a Class of Higher-Order Fully Decoupled Schemes for the Biot Model
Energy-aware computing	Containers Are (Almost) Free: Energy and Performance Analysis of AI Workloads under CPU Virtualization and GPU Power Capping
Ensemble	A Grand Ensemble Integrating Ensemble Predictions by Multiple MLWP Weather Models Using JMA Initial Conditions
Ensemble Forecasting	Investigating Ensemble Reliability with CNN Post-Processing through Variance Decomposition
ensemble kalman filter	Balancing Accuracy and Speed: A Multi-Fidelity Ensemble Kalman Filter with a Machine Learning Surrogate Model Learning Latent Economic Dynamics of Floods
Ensemble Learning	A Fractional Physics-Informed Neural Network with Ensemble Learning for Dengue Forecasting Cross-Validation-Based Hierarchical Decision Tree Framework for Dispersed Data Classification An Ensemble CNN Transfer Learning Model for Wheat Grain Classification
entropy computation for quantum systems	QFredDet –- Software Library for Computing Entropy of Continuous Variable Quantum Systems Using Fredholm Determinants
environmental feedback	Emergent Spatial Traps in the Coevolutionary Commons: Human-AI Cooperation under Environmental Feedback
Epistasis detection	A Data-Driven Framework for Optimal Covariate Clustering in Genome-wide Association Interaction Studies
Epistemic Uncertainty	Comparison of Epistemic Uncertainty Quantification Methods for Out-of-Distribution Detection in Autoencoder–RNN Surrogate Model of Molecular-Continuum Flow Simulations Quantifying and Mitigating Epistemic Uncertainty in Local Rule‑Based Explanations
Equality Saturation	Viability of Parallelization of Saturation and Extraction Algorithms for E-Graphs
Error-correcting codes	Scaling Encodings to Larger Alphabets for Peptide-Based Data Storage
Escape Theory	An Agent Based Model of Effects of Sleep Deprivation on Suicidality
Eurostat	Quantifying Sustainability Transitions in European Agriculture: A Reproducible Workflow for Socioecological Indicator Calculation
evacuation dynamics	Transport Network Topology as a Determinant of Forced Displacement Dynamics: Case Study of Rail-Based Evacuation from Ukraine
Evaluation metrics	Trustworthy Molecular AI: Multi-Dimensional Validation of LLM Generated Chemical Descriptions
event-driven monitoring	AI for Wildfire: Detection and Spread Forecasting via multi-source and multi-modal data-driven models
Evidential deep learning	Uncertainty-Aware Multi-Task Deep Learning Framework for Cervical Lesion Segmentation and Classification Comparison of Epistemic Uncertainty Quantification Methods for Out-of-Distribution Detection in Autoencoder–RNN Surrogate Model of Molecular-Continuum Flow Simulations
Evolutionary Algorithms	Parameter Prediction Under Ambiguity: Single-Target vs. Multi-Choice Models for IEA Configuration on QAP
Evolutionary game theory	Modelling Traffic Policy with Drivers and Government Behavior using Evolutionary Game Theory
eVTOL	Fluid–Structure Interaction Simulation of an Emergency Recovery Parachute for a Flying Car A Computational Framework for Evaluating Dynamic Motion Performance of Diversified eVTOLs using Fluid-Rigid Body Coupled Simulation with Route Tracking
Exascale applications	SEAVEAtk: Building VVUQ Competency for Exascale Computational Science
Exascale simulations	Computing and FAIR data in Lattice QCD
exercise recognition	Mask Cross-Attention Transformer for Robust Exercise Recognition Under Execution-Speed Domain Shift
experimental evaluation	Navigating Uncertainty: A Framework for Benchmarking Decision Quality in Fuzzy Petri Nets
Expert-Informed Knowledge Repository (EIKR)	Methodological Evolution and Knowledge Management in a Displacement Modelling Project: From Research Prototype to UNHCR Policy Tool
Explainable AI	Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution Rapid Identification of Soil Contamination by Pathogenic Fungi Using Single-Instance Driven Convolutional Neural Networks Counterfactual User Guidance for Improving Transparent Hyperparameter Tuning Quantifying and Mitigating Epistemic Uncertainty in Local Rule‑Based Explanations
Explainable Artificial Intelligence	Plausible Visual Counterfactual Explanations in Latent Space with Normalizing Flows
exploration-exploitation	Modelling Human Optimal Seeking Behaviour During Evaluation of Process Models With Subjective Complexity
F
Face Anti-Spoofing	Multi-Stream CNN with Attention for Single-Image Face Spoofing Detection
FAIR data	Computing and FAIR data in Lattice QCD
FAIR research data	VirtMat Tools: Towards FAIR-Compliant Virtual Research Environments for Materials Modeling
fast feedback	Fast data processing for X-ray crystallography
fast image reconstruction	Integrated Continuous-to-Continuous Forward Modelling and Rebinning Strategies for Low-Dose CT with Flying Focal Spot
Fast Multipole Method	Acceleration of computing domain solutions by the IFPIES
Fast Simulation	Improving the efficiency and precision of data-driven surrogates for Monte-Carlo particle transport in the ALICE experiment
FE simulations	AVS-FE Simulations of Hard Magnetic Soft Materials subject to Steady State Electromagnetic Fields
Feature Attribution	Validating the Clinical Utility of CineECG 3D Reconstructions through Cross-Modal Feature Attribution
feature drift	Detecting Feature Drift by Monitoring Feature-Rank Stability in Data Streams
feature ranking	Detecting Feature Drift by Monitoring Feature-Rank Stability in Data Streams
feature selection	Technical Indicators on Warsaw Stock Exchange: A Computational Study
Federated Learning	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning Rule-Based Federated Learning for Healthcare
few-shot	Cross-Domain Few-Shot Segmentation of Histopathology Images with Mamba
Filtering Algorithms	Graph-Based Modeling of Alignment Relations and Pattern Detection
Finite difference method	Pore-Scale Modeling Framework with Embedded Boundaries and Automatic Jacobian Construction
Finite element methods	Continuous Data Assimilation Enhanced Nonlinear Solvers for the p-Laplace Equation
Finite volume method	Topology-Aware Communication Optimization for CFD Simulations in OpenFOAM
Flash calculation	A fast combined momentumed Newton-SSI solver for multicomponent phase equilibrium PT flash calculation
Floating-Point Arithmetic	Mixed-Precision Quantum Machine Learning on Photonic Quantum and Hybrid HPC Systems
Flood forecasting	Aligning and Assimilating Multi-source Data for Flood Forecasting Deep Data Assimilation for Operational AI-Based Flood Forecasting Using Multi-Source Earth Observations
flow prediction	Comparison of Epistemic Uncertainty Quantification Methods for Out-of-Distribution Detection in Autoencoder–RNN Surrogate Model of Molecular-Continuum Flow Simulations
Fluid-Rigid Body Coupling	A Computational Framework for Evaluating Dynamic Motion Performance of Diversified eVTOLs using Fluid-Rigid Body Coupled Simulation with Route Tracking
Fluid-structure interaction	Investigating the Influence of Red Blood Cell Heterogeneity on Cell Transport and Blood Flow Hemodynamics
Fluid–Structure Interaction	Fluid–Structure Interaction Simulation of an Emergency Recovery Parachute for a Flying Car
Flying Car	Comparative Study of Numerical Analysis and Wind Tunnel Experiments on the Flight Behavior of a Quadcopter Drone under Disturbance Winds
flying focal spot	Integrated Continuous-to-Continuous Forward Modelling and Rebinning Strategies for Low-Dose CT with Flying Focal Spot
fMRI	Prediction and Causality of functional MRI and synthetic signal using a Zero-Shot Time-Series Foundation Model
forced displacement	Transport Network Topology as a Determinant of Forced Displacement Dynamics: Case Study of Rail-Based Evacuation from Ukraine
Forced Migration	Studying the Effects of Climate Factors on Forced Migration Models: The Case of South Sudan
Formal Theory Construction	Formal Theory Construction of Gender Dysphoria
Foundation models	Prediction and Causality of functional MRI and synthetic signal using a Zero-Shot Time-Series Foundation Model
Fourier Neural Operator	Fourier Neural Operators for Rayleigh–Bénard Convection
Fractured porous media	Petrov-Galerkin Immersed Finite Element Approximation of Darcy/Darcy-Forchheimer Flow in Fractured Porous Media with Nonconforming Mesh
Fredholm determinants	QFredDet –- Software Library for Computing Entropy of Continuous Variable Quantum Systems Using Fredholm Determinants
Functional connectivity	A Comparative Analysis of EEG Network Construction Strategies for Discriminating PNES
Fusion Engineering	Uncertainty Quantification for Multiscale Model of Tritium Breeding Materials
Future Experiments	Key4hep - The Common Software Stack for Future Particle Physics Experiments
fuzzy Petri net	Navigating Uncertainty: A Framework for Benchmarking Decision Quality in Fuzzy Petri Nets
G
Gait recognition	View-Independent 3D Gait Recognition Using Sequence-Based Siamese Networks
Gated recurrent units	Product units in gated recurrent units improve nuclear-mass prediction
Gaussian mixture models	A Data-Driven Framework for Optimal Covariate Clustering in Genome-wide Association Interaction Studies
gaussian processes	Comparison of Epistemic Uncertainty Quantification Methods for Out-of-Distribution Detection in Autoencoder–RNN Surrogate Model of Molecular-Continuum Flow Simulations
Gaussian Splatting (GS)	MeshSplats: Mesh-Based Rendering with Gaussian Splatting Initialization
gels	Multiscale modeling of solvent responsive gels: bridging COSMO-RS model with dissipative particle dynamics simulations
Gender Dysphoria	Formal Theory Construction of Gender Dysphoria
Gene co-expression networks	Network Curvature as a Geometric Biomarker for Identifying Disease-related Subnetworks
Gene Expression	Stability-Aware Relational kNN for Gene Expression Using Within-Sample Orderings
General Rules	When Decisions Are Blocked: Inhibitory Rules Induced from Tree Ensembles
Generalized BDF	On a Class of Higher-Order Fully Decoupled Schemes for the Biot Model
Generative Agent-Based Model	Beyond Black-Box Agents: Explainable and Validatable Generative ABMs
Generative Agent-Based Modeling	A Generative Multi-Agent Framework for Modeling Depressive Language Entrainment
Generative AI	A Unified Autoregressive-Diffusion Framework for Stable Long-Horizon and High-Resolution Multiscale Flow Modeling
Generative Deep Learning	Improving the efficiency and precision of data-driven surrogates for Monte-Carlo particle transport in the ALICE experiment
Generative Machine Learning	Generative ML for Future Calorimeter Simulation
Geological carbon storage	Numerical Modeling of Electromigration Effects for Subsurface Geological Carbon Sequestration
Geometry-Aware Modeling	Geometry-aware Recognition of Mouth Articulations for Sign Language Understanding
Geopotential Height	Comparative study of Linear Attention Architectures for Geopotential Height Forecasting
Geosteering	From Offline Trajectories to Steering Decisions: Decision Transformers for Probabilistic Geosteering
glial cells	Glial Gating: Biologically Inspired Channel Modulation and Pruning for Convolutional Networks
GOP-level Parallelism	Optimizing the Performance and Efficiency of a Hybrid Video Encoder in Java
governance	A Unified Review of LLM Investment Agents: Autonomy, Multimodality, Human–AI Collaboration, and Risk Governance
government regulation	Modelling Traffic Policy with Drivers and Government Behavior using Evolutionary Game Theory
government spendings	Modelling Traffic Policy with Drivers and Government Behavior using Evolutionary Game Theory
GPU	ACTS: Cross-experiment charged particle reconstruction toolkit GPU-Accelerated Number Theoretic Transform-Based Privacy Amplification for Quantum Key Distribution
GPU acceleration	PyRadiomics-cuda: 3D features extraction from medical images for HPC using GPU acceleration
GPU Accelerator	Efficient Accelerated Graph Edit Distance Computation on GPU
Gradient Variance	Mixed-Precision Quantum Machine Learning on Photonic Quantum and Hybrid HPC Systems
gradient-based tuning	Fast Multi-Objective Antenna Design by ANN-Based Machine Learning with Gradient-Based Design Enhancement
Granger causality	Prediction and Causality of functional MRI and synthetic signal using a Zero-Shot Time-Series Foundation Model
Graph Algorithms	Efficient Accelerated Graph Edit Distance Computation on GPU
Graph Edit Distance computation	Efficient Accelerated Graph Edit Distance Computation on GPU
Graph generation	Constrained graph generation: Preserving diameter and clustering coefficient simultaneously
graph grammar	Graph grammar model for mesh refinements for high-order polygonal discontinuous Petrov-Galerkin method
Graph Neural Networks	Host Behavioral Consistency Modeling for Causal and Interpretable Intrusion Detection Graph Neural Networks for Misinformation Detection: Performance–Efficiency Trade-offs
Graph theory	A Comparative Analysis of EEG Network Construction Strategies for Discriminating PNES Qubit Routing via swap Network: a Minimum Dominating Path Approach
graph-based learning	Clickbait detection: quick inference with maximum impact
Graphs	Constrained graph generation: Preserving diameter and clustering coefficient simultaneously
Greedy Algorithm	Greedy Algorithm for Modeling Approximate Decision Trees for Distributed Decision Tables
Greedy Algorithms	Optimization of Inhibitory Rules
Grover's Search	Benchmarking the Lights Out Problem on Real Quantum Hardware
Gut Microbiome	Graph-Theoretical Analysis of the Gut-Microbiome-Brain Axis: Identifying Mediators of Suicidal Ideation
Gut-Brain Axis	Graph-Theoretical Analysis of the Gut-Microbiome-Brain Axis: Identifying Mediators of Suicidal Ideation
H
hard magnetic soft materials	AVS-FE Simulations of Hard Magnetic Soft Materials subject to Steady State Electromagnetic Fields
Hardware counters	An Empirical Evaluation of HPC Processors for a Coupled Scientific Simulation
Hardware Portable Libraries	Bit Level Data Unpacking Using Heterogeneous Architecture Setups
Hate Speech	Employing Neo-Psychometric Natural Language Processing in Classification of Anti-Trans Social Media Posts
hazard detection	Patch Memory Bank k-NN for Semi-supervised Visual Hazard Detection in Indoor Mobile Robots
HCBIR	Hyper-DINO: Efficient Hyperbolic Embeddings for Histopathological Content-Based Image Retrieval
Healthcare Computing	From Formal Specifications to Executable Simulations: A Computation-Driven Metasystem for Agent-Based Modeling
Heavy-tailed distributions	Modelling Extreme Uncertainty: Estimating Maximum Queue Size of Systems with Pareto Inter-Arrival Times and Pareto Service Times
HEDGES	Scaling Encodings to Larger Alphabets for Peptide-Based Data Storage
Hemodynamics	A Unified Autoregressive-Diffusion Framework for Stable Long-Horizon and High-Resolution Multiscale Flow Modeling
Heterogeneous HPC	Bit Level Data Unpacking Using Heterogeneous Architecture Setups
Heterogeneous Memory Management	Accelerating Nonlinear Time-History Analysis with Complex Constitutive Laws via Heterogeneous Memory Management: From 3D Seismic Simulation to Neural Network Training
Heterogeneous Text Corpora	A Per-Cluster Multi-Scale Topic Modeling Framework with Unstructured and Heterogeneous Text Corpora
Hierarchical framework	Handling Class Imbalance in Coalition-Based Distributed Classification with Decision Rule Induction
High Energy Physics	Generative ML for Future Calorimeter Simulation Aggregating Columnar Data on Cluster File Systems Improving the efficiency and precision of data-driven surrogates for Monte-Carlo particle transport in the ALICE experiment
high performance computing	The Road to Flee 4: Food Security Coupling Revisited Student Research Achievements through Computational HPC Course Sequences SEAVEAtk: Building VVUQ Competency for Exascale Computational Science Instrumenting Lightweight, Modular Machine Learning Training and Inference in Parallel Solvers Benchmarking Delft3D FM on HPC systems for real-life problems in surface water
High Resolution Data	Hybrid Two-Dimensional Wildfire Growth Model for High Resolution Environments
High Throughput Computing	Key4hep - The Common Software Stack for Future Particle Physics Experiments
high-energy particle physics	ACTS: Cross-experiment charged particle reconstruction toolkit
high-order polygonal discontinuous Petrov-Galerkin method	Graph grammar model for mesh refinements for high-order polygonal discontinuous Petrov-Galerkin method
High-performance	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
High-Performance Computing	RACCOONS: Data Management Library for High-Performance Astrometric Reduction Pipelines Reducing unnecessary computations in materials modeling GPU-Accelerated Number Theoretic Transform-Based Privacy Amplification for Quantum Key Distribution
high-throughput	Asapo: a data streaming platform for high performance data processing pipelines
Histopathological image classification	Hybrid Privacy-preserving Histopathological Image Classification Using Fully Homomorphic Encryption
histopathology image segmentation	Cross-Domain Few-Shot Segmentation of Histopathology Images with Mamba
Homomorphic encryption	Hybrid Privacy-preserving Histopathological Image Classification Using Fully Homomorphic Encryption
Hospital resource optimization · Operating room scheduling · Bed	Quantum-Inspired Simulated Annealing with Neural Guidance for Hospital Scheduling
Host-based intrusion detection	Host Behavioral Consistency Modeling for Causal and Interpretable Intrusion Detection
HPA Axis	Mechanistic Modeling of Stress-Induced Glucose Dysregulation: Calibrating a Coupled HPA-Metabolic Framework to the UK Biobank
HPC	Balancing Energy, Resource Utilization, and Performance in HPC System Operations An Implicitly Differentiable Framework for Physics-Informed Wind Turbine Blade Design Optimization Bridging Grid and HPC Computing for Data-Intensive Science: Scaling dCache for Modern Workflows An Empirical Evaluation of HPC Processors for a Coupled Scientific Simulation
HTC	Bridging Grid and HPC Computing for Data-Intensive Science: Scaling dCache for Modern Workflows
human brain	A personalized brain atlas for everyone: unlocking new frontiers for individuals, humanity, science, and artificial intelligence
human gait analysis	Effects of Environmental Perturbations on Multijoint Gait Dynamics: A Multidimensional Recurrence Quantification Approach
Human optimal seeking	Modelling Human Optimal Seeking Behaviour During Evaluation of Process Models With Subjective Complexity
human-AI collaboration	A Unified Review of LLM Investment Agents: Autonomy, Multimodality, Human–AI Collaboration, and Risk Governance
human-robot collaboration	PISC: Physics-Informed Scene Constraints Method for Markerless 3D Human Localization for Safe Human-Robot Collaboration
Humanitarian Policy	Methodological Evolution and Knowledge Management in a Displacement Modelling Project: From Research Prototype to UNHCR Policy Tool
Human–Machine Interface	The Spatial and Temporal Resolution of Motor Intention in Multi-Target Prediction
hybrid AI	PISC: Physics-Informed Scene Constraints Method for Markerless 3D Human Localization for Safe Human-Robot Collaboration
Hybrid approximation	Improving the efficiency and precision of data-driven surrogates for Monte-Carlo particle transport in the ALICE experiment
Hybrid Computational Methods	TrustChain-RAG: A Blockchain-Anchored Context Graph Framework for Auditable Knowledge Mining in a Gated Environment PINN-Cast: Exploring the Role of Continuous-Depth NODE in Transformers and Physics Informed Loss as Soft Physical Constraints in Short-term Weather Forecasting
hybrid metaheuristic	Evaluating the Effectiveness and Stability of the Constrained Hybrid Metaheuristic Algorithm in Probabilistic Neural Networks Training
Hybrid Quantum-Classical System	Mixed-Precision Quantum Machine Learning on Photonic Quantum and Hybrid HPC Systems
Hydrogen separation	Molecular Dynamics and First-Principles Study on Hydrogen Separation from Hydrogen-Blended Natural Gas using Palladium-Silver Alloy Membranes
Hydrogen-blended natural gas	Molecular Dynamics and First-Principles Study on Hydrogen Separation from Hydrogen-Blended Natural Gas using Palladium-Silver Alloy Membranes
Hyperbolic embeddings	Hyper-DINO: Efficient Hyperbolic Embeddings for Histopathological Content-Based Image Retrieval
Hyperparameter Optimization	Parameter Prediction Under Ambiguity: Single-Target vs. Multi-Choice Models for IEA Configuration on QAP Counterfactual User Guidance for Improving Transparent Hyperparameter Tuning Evaluating the Effectiveness and Stability of the Constrained Hybrid Metaheuristic Algorithm in Probabilistic Neural Networks Training
hypothesis generation	Think Like a Researcher: A Dataset for Scientific Ideation with Large Language Models
Hypothesis Space Compression	Progressive Representation Merging for Data-Scarce Polymer Property Modeling
I
IBM	Benchmarking the Lights Out Problem on Real Quantum Hardware
Identity Confusion	SG-DiT: Semantic-Guided Sign Language Anonymization Balancing Privacy and Linguistic Fidelity
Identity verification	Secure Biometric Authentication with Dynamic Symmetric Key Generation in IoT Systems
Image Aesthetic	Scene-Aware Image Aesthetic Quality Assessment
Image Aesthetic Quality Assessment	Scene-Aware Image Aesthetic Quality Assessment
Image analysis	Computational Microstructure Analysis of Sintered Ceramics
image classification	Glial Gating: Biologically Inspired Channel Modulation and Pruning for Convolutional Networks
Image Generation	Text-to-Conditioned Abdominal CT Image Generation with ControlNet
image processing	ViT-SpSH: A Hybrid Transformer-Spectral Head Architecture for Chromatic Aberration Detection and Localization
Image Segmentation	Anatomy-Informed Deep Learning for Abdominal Aortic Aneurysm Segmentation
image-based processing	Accurate Image-Based Reconstruction of Non-Parametric Antenna EM-Simulation Models
ImageCAS	3D Segmentation of Coronary Arteries in Computer Tomography Angiography
in situ	Instrumenting Lightweight, Modular Machine Learning Training and Inference in Parallel Solvers
in-silico rheology	Coarse-grained bead-spring model and machine-learning for in-silico rheology
Increasing classification rates	How to Enhance Classification Results of the Trained Models using Invariant Dataset Augmentation
independent learning	A Case for Decentralized Model-Based Multi-Agent Reinforcement Learning
Individual minima	Non-Extreme Individual Minima for Improved Pareto Front Sampling Efficiency and Decision-Making
Individualized Calibration	Mechanistic Modeling of Stress-Induced Glucose Dysregulation: Calibrating a Coupled HPA-Metabolic Framework to the UK Biobank
indoor mobile robots	Patch Memory Bank k-NN for Semi-supervised Visual Hazard Detection in Indoor Mobile Robots
information perceiving	Modelling Human Optimal Seeking Behaviour During Evaluation of Process Models With Subjective Complexity
Information Retrieval	Could You Elaborate? A Multi-Perspective Evaluation of Query Reformulation in Retrieval-Augmented Generation
Infrastructure	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Inhibitory Rules	When Decisions Are Blocked: Inhibitory Rules Induced from Tree Ensembles Optimization of Inhibitory Rules
Inner Rules	When Decisions Are Blocked: Inhibitory Rules Induced from Tree Ensembles
integral · Quantum-inspired optimization · Neural-guided metaheuristics	Quantum-Inspired Simulated Annealing with Neural Guidance for Hospital Scheduling
interdisciplinary curriculum	Reframing Cybersecurity Education through Technical, Organisational, and Regulatory Integration: Google Grant Implementation Case Study at WUT
Internet of Things	Secure Biometric Authentication with Dynamic Symmetric Key Generation in IoT Systems Throughput and Reliability Trade-Offs of 6LoWPAN in Low-Power IoT and Smart Systems
Interpolation and Reduced Data	Asymptotics in Curve Estimation Based on Partial Fitting with Piecewise Bézier Cubics
Interpretability	Rule-Based Federated Learning for Healthcare
Interpretable Temporal Modeling	Personalized Next-Basket Recommendation with Interpretable Cycle-Aware Purchase Modeling
Interval arithmetic	Exponentiation Operators for Asymmetric Interval Numbers and Their Properties
Interval Fast PIES	Acceleration of computing domain solutions by the IFPIES
Invariant Dataset Augmentation	How to Enhance Classification Results of the Trained Models using Invariant Dataset Augmentation
investment decision support	A Unified Review of LLM Investment Agents: Autonomy, Multimodality, Human–AI Collaboration, and Risk Governance
IQM	Benchmarking the Lights Out Problem on Real Quantum Hardware
Ising network model	Formal Theory Construction of Gender Dysphoria
ISMS	Reframing Cybersecurity Education through Technical, Organisational, and Regulatory Integration: Google Grant Implementation Case Study at WUT
ISO/IEC 27001	Reframing Cybersecurity Education through Technical, Organisational, and Regulatory Integration: Google Grant Implementation Case Study at WUT
Isogeometric Analysis	Scalability of parallel shared-memory isogeometric alternating-direction solver
Isogeometric finite element method	Isogeometric alternating-directions CO2 sequestration simulator
iterative linear solvers	Embedding-based Methods for Linear Solver Performance Prediction
J
Jacobian matrix	Pore-Scale Modeling Framework with Embedded Boundaries and Automatic Jacobian Construction
Java	Optimizing the Performance and Efficiency of a Hybrid Video Encoder in Java
K
K-means	A Data-Driven Framework for Optimal Covariate Clustering in Genome-wide Association Interaction Studies
k-nearest neighbors	Patch Memory Bank k-NN for Semi-supervised Visual Hazard Detection in Indoor Mobile Robots
Kalman filtering	Data Assimilation with surrogate measurement equations
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kinetics	Multiscale modeling of solvent responsive gels: bridging COSMO-RS model with dissipative particle dynamics simulations
kNN	Stability-Aware Relational kNN for Gene Expression Using Within-Sample Orderings
Knowledge Mining	TrustChain-RAG: A Blockchain-Anchored Context Graph Framework for Auditable Knowledge Mining in a Gated Environment
Knowledge Representation	Optimization of Inhibitory Rules
Koopman Operator	A Unified Autoregressive-Diffusion Framework for Stable Long-Horizon and High-Resolution Multiscale Flow Modeling
L
L2 projections	Isogeometric alternating-directions CO2 sequestration simulator
Lagrangian Optimization	An Implicitly Differentiable Framework for Physics-Informed Wind Turbine Blade Design Optimization
Lagrangian Particle Tracking (LPT)	A Scalable Numerical Framework for Predicting Particle Transport in Bifurcating Vascular Networks
Large Language Model	Beyond Black-Box Agents: Explainable and Validatable Generative ABMs
Large Language Models	The Rise of Conversational Modeling in Predictive Oncology What properties of reasoning supervision are associated with improved downstream model quality?
Large Language Model–Driven Analysis	From Alert Flood to Actionable Intelligence: Reconstructing Attack Chains via TTP Sequences Using LLMs and RAG
latent space data assimilation	Scalable Hierarchical Graph Autoencoders for Latent 3D-Variational Assimilation in a Coupled Earth-system Model
Latent state estimation	Learning Latent Economic Dynamics of Floods
latent trait modeling	Modeling Multi-Rater Behavior with Bayesian Nonparametric MIRT: Inferring Latent Traits and Group Structure
lattice Boltzmann method	Phase Morphology of Ternary Mixtures under Shear
Lattice QCD	Computing and FAIR data in Lattice QCD
LDPC	Scaling Encodings to Larger Alphabets for Peptide-Based Data Storage
learning procedure	Evaluating the Effectiveness and Stability of the Constrained Hybrid Metaheuristic Algorithm in Probabilistic Neural Networks Training
Learning Sequence	Recommendation system for education - an approach to suggesting learning sequences
Length	Optimization of Inhibitory Rules
Lexical Entrainment	A Generative Multi-Agent Framework for Modeling Depressive Language Entrainment
Lights Out	Benchmarking the Lights Out Problem on Real Quantum Hardware
Linear Attention	Comparative study of Linear Attention Architectures for Geopotential Height Forecasting
Linguistic features	Clickbait detection: quick inference with maximum impact
LLM agents	A Unified Review of LLM Investment Agents: Autonomy, Multimodality, Human–AI Collaboration, and Risk Governance
LLM fine-tuning	Think Like a Researcher: A Dataset for Scientific Ideation with Large Language Models
LLMs	Trustworthy Molecular AI: Multi-Dimensional Validation of LLM Generated Chemical Descriptions Think Like a Researcher: A Dataset for Scientific Ideation with Large Language Models
Local and Global Models	Cross-Validation-Based Hierarchical Decision Tree Framework for Dispersed Data Classification
Local mass conservation	Quantum-Classical Hybrid Algorithms for Darcy Flow
Local Neighbor-Aware Clustering	A Per-Cluster Multi-Scale Topic Modeling Framework with Unstructured and Heterogeneous Text Corpora
Lock-Free Access	RACCOONS: Data Management Library for High-Performance Astrometric Reduction Pipelines
Logistic regression	A Data-Driven Framework for Optimal Covariate Clustering in Genome-wide Association Interaction Studies
Low-cost robotics	A distributed ROS2 architecture for low-cost navigation based on virtual boundary logic
low-dose computed tomography	Integrated Continuous-to-Continuous Forward Modelling and Rebinning Strategies for Low-Dose CT with Flying Focal Spot
Low-Resource Learning	Graph Neural Networks for Misinformation Detection: Performance–Efficiency Trade-offs
M
machine learning	PINNs for Electromagnetic Wave Propagation Vasculitis Outcome Prediction Using Machine Learning and Federated Learning Clickbait detection: quick inference with maximum impact Machine learning to predict mental health problems in early childhood using behavioral screening questionnaires Limitations of Idiographic Machine Learning Forecasting in Mental Health Data Machine learning in the prediction of treatment response for emotional disorders: A systematic review and meta-analysis Coarse-grained bead-spring model and machine-learning for in-silico rheology Aligning and Assimilating Multi-source Data for Flood Forecasting Conformal Prediction for Quantifying Uncertainty in Idealized Atmospheric Models Balancing Accuracy and Speed: A Multi-Fidelity Ensemble Kalman Filter with a Machine Learning Surrogate Model Reversible Data Hiding in Encrypted Images using Kernel-based Prediction and Delta-Huffman Coding Towards quantum machine learning for assessing the resilience of post-quantum cryptography Automated Machine Learning Framework for Generating Pseudorandom Antenna Designs Conditioned on Operational Frequency Range Fast Multi-Objective Antenna Design by ANN-Based Machine Learning with Gradient-Based Design Enhancement Convolutional Neural Network-Based Prediction of Reflection Response for Free-Form Antenna Designs Instrumenting Lightweight, Modular Machine Learning Training and Inference in Parallel Solvers Plausible Visual Counterfactual Explanations in Latent Space with Normalizing Flows
Machine Learning (ML)	A Scalable Numerical Framework for Predicting Particle Transport in Bifurcating Vascular Networks
machine learning education	Computational Andragogy: Designing Accountable Practice in Computational Science
Machine Learning Weather Prediction	A Grand Ensemble Integrating Ensemble Predictions by Multiple MLWP Weather Models Using JMA Initial Conditions
Mamba	Cross-Domain Few-Shot Segmentation of Histopathology Images with Mamba
management · Quadratic unconstrained binary optimization (QUBO) · Choquet	Quantum-Inspired Simulated Annealing with Neural Guidance for Hospital Scheduling
Markov Blanket	Thresholded FOCI for Undirected Graph Structure Learning with Binary Variables
Markov chain	Constrained graph generation: Preserving diameter and clustering coefficient simultaneously
Material Science	Uncertainty Quantification for Multiscale Model of Tritium Breeding Materials
materials modeling workflows	Reducing unnecessary computations in materials modeling
Matrix Compression	Dynamic Matrix Compression: A New Perspective on Two-Phase Flows
maximum acyclic subgraph	Domination data reduction rules for the directed feedback vertex set problem
Maxwell's Equations	PINNs for Electromagnetic Wave Propagation
McCaskill's algorithm	A Parallel and Vectorized Implementation of the McCaskill Algorithm for x86-64 and RISC-V Architectures
MCMC	Constrained graph generation: Preserving diameter and clustering coefficient simultaneously
Mechanistic interpretability	Mechanistic Interpretability Tool for AI Weather Models
Mechanistic Modeling	Mechanistic Modeling of Stress-Induced Glucose Dysregulation: Calibrating a Coupled HPA-Metabolic Framework to the UK Biobank
Mechanobiology	Mechanistic Modeling of Vorticity-Facilitated Platelet Aggregation in Stenotic Expansions
Medical data processing	Initial Study on Cancer Diagnosis using AI/NLP and Expert System Integration
Medical Image Processing	Text-to-Conditioned Abdominal CT Image Generation with ControlNet
Medical scenario	Data-Driven Structural Optimization of Descriptive Norms: Bridging Micro and Macro Dynamics in Medical Contexts
Mental health	Machine learning to predict mental health problems in early childhood using behavioral screening questionnaires Limitations of Idiographic Machine Learning Forecasting in Mental Health Data
mesh adaptations	Graph grammar model for mesh refinements for high-order polygonal discontinuous Petrov-Galerkin method
Mesh Representation	MeshSplats: Mesh-Based Rendering with Gaussian Splatting Initialization
Meta-analysis	Machine learning in the prediction of treatment response for emotional disorders: A systematic review and meta-analysis
Metadata	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
metaheuristic	Evaluating the Effectiveness and Stability of the Constrained Hybrid Metaheuristic Algorithm in Probabilistic Neural Networks Training
Metaheuristics	Parameter Prediction Under Ambiguity: Single-Target vs. Multi-Choice Models for IEA Configuration on QAP
Metal Artefact Synthesis	MAGGNet: Guided Volumetric Metal Artefact Synthesis for Computed Tomography Scans
Metastasis	Multiscale Modeling of Shear-Dependent Tumor Cell Adhesion
Metric	Computing Wasserstein Distances Between Asymmetric Interval Numbers
Metric Networks	Metric Learning Approach to Mineral Mapping Using Multi-Sensor Satellite Data
microbial contamination	Rapid Identification of Soil Contamination by Pathogenic Fungi Using Single-Instance Driven Convolutional Neural Networks
Microfluidics	Mechanistic Modeling of Vorticity-Facilitated Platelet Aggregation in Stenotic Expansions
microscopy	Rapid Identification of Soil Contamination by Pathogenic Fungi Using Single-Instance Driven Convolutional Neural Networks
Microservice Architectures	CNASIM: A Customizable Simulation Library for Cloud-Native Application Performance Modeling
Microstructure characterization	Computational Microstructure Analysis of Sintered Ceramics
Microwave circuits	Design-Ready Microwave Modeling by Spatial and Dimensional Domain Restriction
migration modelling	The Road to Flee 4: Food Security Coupling Revisited
Minimization	Optimization of Inhibitory Rules
Misinformation Detection	Graph Neural Networks for Misinformation Detection: Performance–Efficiency Trade-offs
MITRE ATT&CK	From Alert Flood to Actionable Intelligence: Reconstructing Attack Chains via TTP Sequences Using LLMs and RAG
Mixed Precision	Mixed-Precision Quantum Machine Learning on Photonic Quantum and Hybrid HPC Systems
ML inference	Efficient Integer-Only Implementation of Tanh and Sigmoid for Embedded AI on RISC-V
Mobile Sensor Networks	Proactive Detection of Pedestrian Crossing Occlusions: Transforming Dashcams into Mobile Smart City Sensors
Model Interpretability	Modeling Nonlinear Feature Interactions with Product-Unit Residual Networks
model management	Multi-Fidelity Model Management Strategy for Accelerated Antenna Optimization
model size reduction	Simulation based structural Optimization for Neural Network
model-based	A Case for Decentralized Model-Based Multi-Agent Reinforcement Learning
Modeling	Graph-Based Modeling of Alignment Relations and Pattern Detection Navigating Uncertainty: A Framework for Benchmarking Decision Quality in Fuzzy Petri Nets
modelling and simulation	Benchmarking Delft3D FM on HPC systems for real-life problems in surface water
Molecular dynamics simulation	Molecular Dynamics and First-Principles Study on Hydrogen Separation from Hydrogen-Blended Natural Gas using Palladium-Silver Alloy Membranes
Molecular simulations	Adaptive Resolution Scheme for Non-additive Molecular Three-Body Potentials
molecular-continuum	Comparison of Epistemic Uncertainty Quantification Methods for Out-of-Distribution Detection in Autoencoder–RNN Surrogate Model of Molecular-Continuum Flow Simulations
Momentumed technique	A fast combined momentumed Newton-SSI solver for multicomponent phase equilibrium PT flash calculation
MONAI	3D Segmentation of Coronary Arteries in Computer Tomography Angiography
Monte Carlo	Topology-Agnostic Antennas: Surrogate-Assisted Optimization of Fabrication Yield in a Distributed Setup
Monte Carlo simulation	Modelling Extreme Uncertainty: Estimating Maximum Queue Size of Systems with Pareto Inter-Arrival Times and Pareto Service Times
Motion Estimation	Optimizing the Performance and Efficiency of a Hybrid Video Encoder in Java
Motor Control	The Spatial and Temporal Resolution of Motor Intention in Multi-Target Prediction
Moving Computational Domain	Fluid–Structure Interaction Simulation of an Emergency Recovery Parachute for a Flying Car
Multi-Agent Decision-Making	Attribute Importance in Conflict Models: Using Clustering Metrics and Bi‑Coalitions for Issue Evaluation
multi-agent systems	A Case for Decentralized Model-Based Multi-Agent Reinforcement Learning
multi-criteria decision analysis	Simulating decision-makers' behaviour in risk management problems using prospect theory
multi-fidelity EM analysis	Multi-Fidelity Model Management Strategy for Accelerated Antenna Optimization
Multi-objective optimization	Boundary-Rejection-Sampling for Computing Pareto Fronts Efficiently and Uniformly Non-Extreme Individual Minima for Improved Pareto Front Sampling Efficiency and Decision-Making Fast Multi-Objective Antenna Design by ANN-Based Machine Learning with Gradient-Based Design Enhancement
Multi-Scale Topic Representation	A Per-Cluster Multi-Scale Topic Modeling Framework with Unstructured and Heterogeneous Text Corpora
Multi-Stream Network	Multi-Stream CNN with Attention for Single-Image Face Spoofing Detection
Multi-task	Uncertainty-Aware Multi-Task Deep Learning Framework for Cervical Lesion Segmentation and Classification
Multidimensional Recurrence Quantification Analysis CAREN Extended system	Effects of Environmental Perturbations on Multijoint Gait Dynamics: A Multidimensional Recurrence Quantification Approach
multifidelity	Balancing Accuracy and Speed: A Multi-Fidelity Ensemble Kalman Filter with a Machine Learning Surrogate Model
multigrid solver	Multigrid Solver for a Bulk Lightning Model Coupled with a Meteorological Model with Terrain-Following Coordinates
Multilayer networks	CHExNet: A 400-years Multilayer Network of Early Modern Collaboration at the Jagiellonian University
Multilingual Text Classification	Graph Neural Networks for Misinformation Detection: Performance–Efficiency Trade-offs
multimodal analysis	AI for Wildfire: Detection and Spread Forecasting via multi-source and multi-modal data-driven models
Multimodal data	Initial Study on Cancer Diagnosis using AI/NLP and Expert System Integration
multimodal finance	A Unified Review of LLM Investment Agents: Autonomy, Multimodality, Human–AI Collaboration, and Risk Governance
Multiscale modeling	Credible Agent-Based Modeling of Crisis Evacuation: A Dual-Process Cognitive Architecture Investigating the Influence of Red Blood Cell Heterogeneity on Cell Transport and Blood Flow Hemodynamics Multiscale Modeling of Shear-Dependent Tumor Cell Adhesion
Multiscale modelling	A Scalable Numerical Framework for Predicting Particle Transport in Bifurcating Vascular Networks Uncertainty Quantification for Multiscale Model of Tritium Breeding Materials A Multiscale Modelling Framework for Endothelial Cells Monolayers: From RhoGTPase Network Dynamics to Barrier Integrity The Road to Flee 4: Food Security Coupling Revisited
multiscale simulation	Multiscale modeling of solvent responsive gels: bridging COSMO-RS model with dissipative particle dynamics simulations
multispectral imaging	Auto Quantum Machine Learning for Multisource Classification
Multitask Learning	Progressive Representation Merging for Data-Scarce Polymer Property Modeling
N
Nanopore transport	Numerical Modeling of Electromigration Effects for Subsurface Geological Carbon Sequestration
Natural disaster agent based models	Learning Latent Economic Dynamics of Floods
Natural Language Processing	Employing Neo-Psychometric Natural Language Processing in Classification of Anti-Trans Social Media Posts
Natural language processing}	Clickbait detection: quick inference with maximum impact
Nature-inspired computing	Analysis of Parameter Settings for the Bat Algorithm Using Variance Evolution
NCA	Hybrid Privacy-preserving Histopathological Image Classification Using Fully Homomorphic Encryption
near-boundary evaluation	Enhanced Near-Boundary Accuracy in the PIES Method Using a Regularized Integral Identity for Three-Dimensional Potential Problems
nearly singular integrals	Enhanced Near-Boundary Accuracy in the PIES Method Using a Regularized Integral Identity for Three-Dimensional Potential Problems
Neighborhood Component Analysis (NCA)	Spatially refined transformer embeddings for accurate histopathology tissue classification
Neighborhood Stability	Stability-Aware Relational kNN for Gene Expression Using Within-Sample Orderings
Neo-Psychometric	Employing Neo-Psychometric Natural Language Processing in Classification of Anti-Trans Social Media Posts
Neo-Psychometric Machine Learning	Employing Neo-Psychometric Natural Language Processing in Classification of Anti-Trans Social Media Posts
Network Analysis	Graph-Theoretical Analysis of the Gut-Microbiome-Brain Axis: Identifying Mediators of Suicidal Ideation
Network Curvature	Network Curvature as a Geometric Biomarker for Identifying Disease-related Subnetworks
network security	Glial Gating: Biologically Inspired Channel Modulation and Pruning for Convolutional Networks
network sensing	Decision--Centric Network Sensing: Topology-Aware Control of Adaptive Graph Exploration
network-constrained mobility	Transport Network Topology as a Determinant of Forced Displacement Dynamics: Case Study of Rail-Based Evacuation from Ukraine
Networks Analysis	A Comparative Analysis of EEG Network Construction Strategies for Discriminating PNES
neural network compression	Simulation based structural Optimization for Neural Network
Neural Networks	Automated Machine Learning Framework for Generating Pseudorandom Antenna Designs Conditioned on Operational Frequency Range Fast Multi-Objective Antenna Design by ANN-Based Machine Learning with Gradient-Based Design Enhancement Bayesian-optimized Neural Network for Evaluating the Operational Range of Freeform Microstrip Antennas
Neural Operator	Scheduled Temporal Loss Weighting for Neural Operators
Neural Operators	A Unified Autoregressive-Diffusion Framework for Stable Long-Horizon and High-Resolution Multiscale Flow Modeling
Neural Radiance Fields	What Do Neural Radiance Fields Offer for 3D Human Reconstruction?
neuroAI	A personalized brain atlas for everyone: unlocking new frontiers for individuals, humanity, science, and artificial intelligence
neurodatabase	A personalized brain atlas for everyone: unlocking new frontiers for individuals, humanity, science, and artificial intelligence
Neuroinflammation	Graph-Theoretical Analysis of the Gut-Microbiome-Brain Axis: Identifying Mediators of Suicidal Ideation
neuron pruning	Simulation based structural Optimization for Neural Network
Newton method	A fast combined momentumed Newton-SSI solver for multicomponent phase equilibrium PT flash calculation
NIS2	Reframing Cybersecurity Education through Technical, Organisational, and Regulatory Integration: Google Grant Implementation Case Study at WUT
Non-stationary advection-diffusion problem	Time-slices based training of Physics Informed Neural Networks for 3D Non-Stationary Thermal Inversion Simulations
Non-stationary simulations	Isogeometric alternating-directions CO2 sequestration simulator
Non-uniform memory access hierarchy	Topology-Aware Communication Optimization for CFD Simulations in OpenFOAM
Nonconforming meshes	Petrov-Galerkin Immersed Finite Element Approximation of Darcy/Darcy-Forchheimer Flow in Fractured Porous Media with Nonconforming Mesh
nonlinear dynamics	Emergent Spatial Traps in the Coevolutionary Commons: Human-AI Cooperation under Environmental Feedback
Nonlinear iteration	Continuous Data Assimilation Enhanced Nonlinear Solvers for the p-Laplace Equation
Nonlinear Time-History Analysis	Accelerating Nonlinear Time-History Analysis with Complex Constitutive Laws via Heterogeneous Memory Management: From 3D Seismic Simulation to Neural Network Training
Norm optimization	Data-Driven Structural Optimization of Descriptive Norms: Bridging Micro and Macro Dynamics in Medical Contexts
Nuclear mass prediction	Product units in gated recurrent units improve nuclear-mass prediction
Number Theoretic Transform	GPU-Accelerated Number Theoretic Transform-Based Privacy Amplification for Quantum Key Distribution
numerical quadrature	QFredDet –- Software Library for Computing Entropy of Continuous Variable Quantum Systems Using Fredholm Determinants
Numerical Simulation	Fluid–Structure Interaction Simulation of an Emergency Recovery Parachute for a Flying Car
O
Object detection	Vision-Guided Agricultural Robot for Crop Detection Using Edge Computing on Embedded Hardware
ODE-based modelling	A Multiscale Modelling Framework for Endothelial Cells Monolayers: From RhoGTPase Network Dynamics to Barrier Integrity
Offline learning	From Offline Trajectories to Steering Decisions: Decision Transformers for Probabilistic Geosteering
ONERA	Auto Quantum Machine Learning for Multisource Classification
Open-Set Recognition	Open-Set Vein Biometric Recognition with Deep Metric Learning
OpenFOAM	Topology-Aware Communication Optimization for CFD Simulations in OpenFOAM
Optical Cavity	Cavity-Enhanced Collective Quantum Processing with Polarization-Encoded Qubits
Optical Resonator	Cavity-Enhanced Collective Quantum Processing with Polarization-Encoded Qubits
optimal experimental design	Decision--Centric Network Sensing: Topology-Aware Control of Adaptive Graph Exploration Generative Control of k-Space: \\A Foundation-Model Approach to Self-Optimizing MRI with Transformers, Diffusion Priors, and Adversarial Consistency Controlling Structure Under Uncertainty: Decision-Theoretic Topology for Extreme-Scale Scientific Simulation
Optimization	Analysis of Parameter Settings for the Bat Algorithm Using Variance Evolution Student Research Achievements through Computational HPC Course Sequences Evaluating the Effectiveness and Stability of the Constrained Hybrid Metaheuristic Algorithm in Probabilistic Neural Networks Training Proactive Forecasting with a Digital Twin in Emergency Departments: Preserving Key Performance Indicators Values
out-of-distribution detection	Comparison of Epistemic Uncertainty Quantification Methods for Out-of-Distribution Detection in Autoencoder–RNN Surrogate Model of Molecular-Continuum Flow Simulations
P
p-Laplace equation	Continuous Data Assimilation Enhanced Nonlinear Solvers for the p-Laplace Equation
Palladium-silver alloy	Molecular Dynamics and First-Principles Study on Hydrogen Separation from Hydrogen-Blended Natural Gas using Palladium-Silver Alloy Membranes
Parallel algorithms	Efficient Accelerated Graph Edit Distance Computation on GPU
parallel computations	QFredDet –- Software Library for Computing Entropy of Continuous Variable Quantum Systems Using Fredholm Determinants
Parallel Computing	GPU-Accelerated Number Theoretic Transform-Based Privacy Amplification for Quantum Key Distribution Investigating the Influence of Red Blood Cell Heterogeneity on Cell Transport and Blood Flow Hemodynamics
Parallel K-Best	Efficient Accelerated Graph Edit Distance Computation on GPU
Parallel Programming	When One Becomes n: Realizing Distributed Concurrency with ARBOC
Parallel Scalability	Scalability of parallel shared-memory isogeometric alternating-direction solver
Parallel Union-Find	Viability of Parallelization of Saturation and Extraction Algorithms for E-Graphs
Parameter tuning	Parameter Prediction Under Ambiguity: Single-Target vs. Multi-Choice Models for IEA Configuration on QAP
Parametric integral equation system	Enhanced Near-Boundary Accuracy in the PIES Method Using a Regularized Integral Identity for Three-Dimensional Potential Problems
Pareto front sampling	Boundary-Rejection-Sampling for Computing Pareto Fronts Efficiently and Uniformly
Partial Differential Equation	Scheduled Temporal Loss Weighting for Neural Operators
Partial observability	From Offline Trajectories to Steering Decisions: Decision Transformers for Probabilistic Geosteering
Particle filter	From Offline Trajectories to Steering Decisions: Decision Transformers for Probabilistic Geosteering
Particle Physics	Generative ML for Future Calorimeter Simulation Key4hep - The Common Software Stack for Future Particle Physics Experiments
particle reconstruction	ACTS: Cross-experiment charged particle reconstruction toolkit
PCA	Hybrid Privacy-preserving Histopathological Image Classification Using Fully Homomorphic Encryption
PDEs	Data-Driven Structural Optimization of Descriptive Norms: Bridging Micro and Macro Dynamics in Medical Contexts
Pedestrian Safety	Proactive Detection of Pedestrian Crossing Occlusions: Transforming Dashcams into Mobile Smart City Sensors
peer-led learning	Reframing Cybersecurity Education through Technical, Organisational, and Regulatory Integration: Google Grant Implementation Case Study at WUT
Peptide-based data storage	Scaling Encodings to Larger Alphabets for Peptide-Based Data Storage
performance	Fast data processing for X-ray crystallography
Performance Analysis	An Empirical Evaluation of HPC Processors for a Coupled Scientific Simulation
Performance modelling	Modelling Extreme Uncertainty: Estimating Maximum Queue Size of Systems with Pareto Inter-Arrival Times and Pareto Service Times
performance prediction	Parameter Prediction Under Ambiguity: Single-Target vs. Multi-Choice Models for IEA Configuration on QAP Embedding-based Methods for Linear Solver Performance Prediction
Performance--Efficiency Trade-offs	Graph Neural Networks for Misinformation Detection: Performance–Efficiency Trade-offs
Permeation	Molecular Dynamics and First-Principles Study on Hydrogen Separation from Hydrogen-Blended Natural Gas using Palladium-Silver Alloy Membranes
persistent homology	Decision--Centric Network Sensing: Topology-Aware Control of Adaptive Graph Exploration
personalised medicine	Limitations of Idiographic Machine Learning Forecasting in Mental Health Data
Personalization	Personalized Next-Basket Recommendation with Interpretable Cycle-Aware Purchase Modeling
personalized medicine	A personalized brain atlas for everyone: unlocking new frontiers for individuals, humanity, science, and artificial intelligence
perspectivism	Modeling Multi-Rater Behavior with Bayesian Nonparametric MIRT: Inferring Latent Traits and Group Structure
pervasive computing	Secure Biometric Authentication with Dynamic Symmetric Key Generation in IoT Systems
Petascale Storage Systems	Bridging Grid and HPC Computing for Data-Intensive Science: Scaling dCache for Modern Workflows
PETRA III
PETRA IV
photogrammetry	What Do Neural Radiance Fields Offer for 3D Human Reconstruction?
Photonic Quantum Computer	Mixed-Precision Quantum Machine Learning on Photonic Quantum and Hybrid HPC Systems
Photonics	Cavity-Enhanced Collective Quantum Processing with Polarization-Encoded Qubits
Physics Informed Neural Networks	Time-slices based training of Physics Informed Neural Networks for 3D Non-Stationary Thermal Inversion Simulations Three-dimensional Collocation-based Robust Variational Physics Informed Neural Networks
Physics Informed Neural Networks(PINNs)	A Fractional Physics-Informed Neural Network with Ensemble Learning for Dengue Forecasting
Physics-Informed Machine Learning	PINN-Cast: Exploring the Role of Continuous-Depth NODE in Transformers and Physics Informed Loss as Soft Physical Constraints in Short-term Weather Forecasting
Physics-Informed Neural Networks	PINNs for Electromagnetic Wave Propagation
physics-informed reconstruction	Generative Control of k-Space: \\A Foundation-Model Approach to Self-Optimizing MRI with Transformers, Diffusion Priors, and Adversarial Consistency
PINNs
Planar Microstrip Antennas	Bayesian-optimized Neural Network for Evaluating the Operational Range of Freeform Microstrip Antennas
Platelet aggregation	Mechanistic Modeling of Vorticity-Facilitated Platelet Aggregation in Stenotic Expansions
point clouds	What Do Neural Radiance Fields Offer for 3D Human Reconstruction?
Poisson equation	Multigrid Solver for a Bulk Lightning Model Coupled with a Meteorological Model with Terrain-Following Coordinates
Poisson-Nernst-Planck equations	Numerical Modeling of Electromigration Effects for Subsurface Geological Carbon Sequestration
Polymer Informatics	Progressive Representation Merging for Data-Scarce Polymer Property Modeling
Population Displacement	Satellite-based Conflict Damage Detection: Siamese CNNs for Forced Displacement Planning in Ukraine
Pore-network model	A Novel Tensor Resistance-Based Pore-Network Model for Pore-Scale Fluid Flow in Porous Media
Pore-scale modeling	Pore-Scale Modeling Framework with Embedded Boundaries and Automatic Jacobian Construction
porosity	Non-destructive characterization of clay-printed components using mobile CT imaging in sustainable additive manufacturing
porous media	A Novel Tensor Resistance-Based Pore-Network Model for Pore-Scale Fluid Flow in Porous Media
post-training optimization	Simulation based structural Optimization for Neural Network
Power capping	Containers Are (Almost) Free: Energy and Performance Analysis of AI Workloads under CPU Virtualization and GPU Power Capping
Practical proper efficiency	Non-Extreme Individual Minima for Improved Pareto Front Sampling Efficiency and Decision-Making
Precision medicine	Machine learning in the prediction of treatment response for emotional disorders: A systematic review and meta-analysis
preference dataset	Think Like a Researcher: A Dataset for Scientific Ideation with Large Language Models
Prejudice	Employing Neo-Psychometric Natural Language Processing in Classification of Anti-Trans Social Media Posts
Prevention	Proactive Forecasting with a Digital Twin in Emergency Departments: Preserving Key Performance Indicators Values
Privacy Amplification	GPU-Accelerated Number Theoretic Transform-Based Privacy Amplification for Quantum Key Distribution
Privacy Protection	SG-DiT: Semantic-Guided Sign Language Anonymization Balancing Privacy and Linguistic Fidelity
Probabilistic Neural Networks	Evaluating the Effectiveness and Stability of the Constrained Hybrid Metaheuristic Algorithm in Probabilistic Neural Networks Training
process model evaluation	Modelling Human Optimal Seeking Behaviour During Evaluation of Process Models With Subjective Complexity
Processors	An Empirical Evaluation of HPC Processors for a Coupled Scientific Simulation
Product Unit Networks	Modeling Nonlinear Feature Interactions with Product-Unit Residual Networks
prompt injection	A Unified Review of LLM Investment Agents: Autonomy, Multimodality, Human–AI Collaboration, and Risk Governance
prospect theory	Simulating decision-makers' behaviour in risk management problems using prospect theory
Prostate Cancer	Spatially refined transformer embeddings for accurate histopathology tissue classification
Psychometric NLP	Employing Neo-Psychometric Natural Language Processing in Classification of Anti-Trans Social Media Posts
PyRadiomics	PyRadiomics-cuda: 3D features extraction from medical images for HPC using GPU acceleration
Q
Quadcopter Drone	Comparative Study of Numerical Analysis and Wind Tunnel Experiments on the Flight Behavior of a Quadcopter Drone under Disturbance Winds
Quadratic Assignment Problem	Parameter Prediction Under Ambiguity: Single-Target vs. Multi-Choice Models for IEA Configuration on QAP
Quantum Circuit Compilation	Qubit Routing via swap Network: a Minimum Dominating Path Approach
quantum computer	Benchmarking the Lights Out Problem on Real Quantum Hardware
quantum computing	Towards quantum machine learning for assessing the resilience of post-quantum cryptography Cavity-Enhanced Collective Quantum Processing with Polarization-Encoded Qubits
quantum data fusion	Auto Quantum Machine Learning for Multisource Classification
Quantum Machine Learning	Mixed-Precision Quantum Machine Learning on Photonic Quantum and Hybrid HPC Systems
quantum optimization	From Table Constraints to QUBO Models for Quantum Annealing
quantum technologies	Towards quantum machine learning for assessing the resilience of post-quantum cryptography
Quantum-classical hybrid algorithms	Quantum-Classical Hybrid Algorithms for Darcy Flow
quantum-resistant cryptography	Towards quantum machine learning for assessing the resilience of post-quantum cryptography
Qubit	Cavity-Enhanced Collective Quantum Processing with Polarization-Encoded Qubits
Qubit Routing	Qubit Routing via swap Network: a Minimum Dominating Path Approach
QUBO	From Table Constraints to QUBO Models for Quantum Annealing
R
Rachford-Rice equation	A fast combined momentumed Newton-SSI solver for multicomponent phase equilibrium PT flash calculation
radiomic shape features	PyRadiomics-cuda: 3D features extraction from medical images for HPC using GPU acceleration
RAG	TrustChain-RAG: A Blockchain-Anchored Context Graph Framework for Auditable Knowledge Mining in a Gated Environment
railway networks	Transport Network Topology as a Determinant of Forced Displacement Dynamics: Case Study of Rail-Based Evacuation from Ukraine
Random Forest	The Spatial and Temporal Resolution of Motor Intention in Multi-Target Prediction
Random graph generation	Constrained graph generation: Preserving diameter and clustering coefficient simultaneously
Rank-Based Distance	Stability-Aware Relational kNN for Gene Expression Using Within-Sample Orderings
Rate-Distortion Performance	Optimizing the Performance and Efficiency of a Hybrid Video Encoder in Java
Ray Tracing	MeshSplats: Mesh-Based Rendering with Gaussian Splatting Initialization
Rayleigh–Bénard convection	Fourier Neural Operators for Rayleigh–Bénard Convection
RBAC	TrustChain-RAG: A Blockchain-Anchored Context Graph Framework for Auditable Knowledge Mining in a Gated Environment
Reactive transport modeling	Numerical Modeling of Electromigration Effects for Subsurface Geological Carbon Sequestration
real-life applications	Benchmarking Delft3D FM on HPC systems for real-life problems in surface water
real-time data processing	Fast data processing for X-ray crystallography
Reasoning	What properties of reasoning supervision are associated with improved downstream model quality?
rebinning	Integrated Continuous-to-Continuous Forward Modelling and Rebinning Strategies for Low-Dose CT with Flying Focal Spot
Recommendation System	Recommendation system for education - an approach to suggesting learning sequences
recurrence plot	Effects of Environmental Perturbations on Multijoint Gait Dynamics: A Multidimensional Recurrence Quantification Approach
recurrent neural network	Comparison of Epistemic Uncertainty Quantification Methods for Out-of-Distribution Detection in Autoencoder–RNN Surrogate Model of Molecular-Continuum Flow Simulations
Red blood cell width	Investigating the Influence of Red Blood Cell Heterogeneity on Cell Transport and Blood Flow Hemodynamics
reduced order modeling	Scalable Hierarchical Graph Autoencoders for Latent 3D-Variational Assimilation in a Coupled Earth-system Model
Reflection Response Regression	Convolutional Neural Network-Based Prediction of Reflection Response for Free-Form Antenna Designs
reinforcement learning	A Case for Decentralized Model-Based Multi-Agent Reinforcement Learning
Rejection sampling	Boundary-Rejection-Sampling for Computing Pareto Fronts Efficiently and Uniformly
Remote Attestation	GroupTEE: Efficient Group-Oriented Secure Channel Establishment for TEEs
Remote RAM	RACCOONS: Data Management Library for High-Performance Astrometric Reduction Pipelines
remote sensing	Mind the Gap: Quantifying the Domain Gap in Cross-Sensor Diffusion Super-Resolution Auto Quantum Machine Learning for Multisource Classification A Two-Stream CNN Framework for Spatiotemporally Resolved NO2 Estimates Using TEMPO and Sentinel-2 Satellite Data
Renewable Energy	An Implicitly Differentiable Framework for Physics-Informed Wind Turbine Blade Design Optimization
Representation Learning	Progressive Representation Merging for Data-Scarce Polymer Property Modeling
Representative Learning	Feature extractor comparison for distribution matching framework in dataset distillation
Residual Networks	Modeling Nonlinear Feature Interactions with Product-Unit Residual Networks
Retrieval-Augmented Generation	Trustworthy Data Foundations for AI-Driven Analytics in Distributed IoT: A Validation-First Methodology A Unified Review of LLM Investment Agents: Autonomy, Multimodality, Human–AI Collaboration, and Risk Governance Could You Elaborate? A Multi-Perspective Evaluation of Query Reformulation in Retrieval-Augmented Generation TrustChain-RAG: A Blockchain-Anchored Context Graph Framework for Auditable Knowledge Mining in a Gated Environment
Reversible data hiding	Reversible Data Hiding in Encrypted Images using Kernel-based Prediction and Delta-Huffman Coding
Rewriting	Viability of Parallelization of Saturation and Extraction Algorithms for E-Graphs
RhoGTPase signalling	A Multiscale Modelling Framework for Endothelial Cells Monolayers: From RhoGTPase Network Dynamics to Barrier Integrity
RIDM method	Simulating decision-makers' behaviour in risk management problems using prospect theory
RISC-V	A Parallel and Vectorized Implementation of the McCaskill Algorithm for x86-64 and RISC-V Architectures Efficient Integer-Only Implementation of Tanh and Sigmoid for Embedded AI on RISC-V
risk management	Simulating decision-makers' behaviour in risk management problems using prospect theory
RNA folding	A Parallel and Vectorized Implementation of the McCaskill Algorithm for x86-64 and RISC-V Architectures
Robust loss	Three-dimensional Collocation-based Robust Variational Physics Informed Neural Networks
robustness	Stability-Aware Relational kNN for Gene Expression Using Within-Sample Orderings Technical Indicators on Warsaw Stock Exchange: A Computational Study
ROOT	Aggregating Columnar Data on Cluster File Systems
ROS2	A distributed ROS2 architecture for low-cost navigation based on virtual boundary logic
Route Tracking	A Computational Framework for Evaluating Dynamic Motion Performance of Diversified eVTOLs using Fluid-Rigid Body Coupled Simulation with Route Tracking
Rule induction	Rule-Based Federated Learning for Healthcare Handling Class Imbalance in Coalition-Based Distributed Classification with Decision Rule Induction
Rule-Based Systems	Quantifying and Mitigating Epistemic Uncertainty in Local Rule‑Based Explanations
S
Satellite data	Metric Learning Approach to Mineral Mapping Using Multi-Sensor Satellite Data
Satellite Imagery	Satellite-based Conflict Damage Detection: Siamese CNNs for Forced Displacement Planning in Ukraine
Scene-Aware Aesthetic Attributes	Scene-Aware Image Aesthetic Quality Assessment
Science-Policy Interface	Methodological Evolution and Knowledge Management in a Displacement Modelling Project: From Research Prototype to UNHCR Policy Tool
scientific computing	Controlling Structure Under Uncertainty: Decision-Theoretic Topology for Extreme-Scale Scientific Simulation Benchmarking Delft3D FM on HPC systems for real-life problems in surface water
scientific ideation	Think Like a Researcher: A Dataset for Scientific Ideation with Large Language Models
Scientific Machine Learning	An Implicitly Differentiable Framework for Physics-Informed Wind Turbine Blade Design Optimization Progressive Representation Merging for Data-Scarce Polymer Property Modeling
Scientific Simulations	An Empirical Evaluation of HPC Processors for a Coupled Scientific Simulation
sculptures	HuSc3D: Human Sculpture dataset for 3D object reconstruction
SEANERGY software	Balancing Energy, Resource Utilization, and Performance in HPC System Operations
seatbelt wearing rate	Modelling Traffic Policy with Drivers and Government Behavior using Evolutionary Game Theory
Secure Channel	GroupTEE: Efficient Group-Oriented Secure Channel Establishment for TEEs
Segmentation	Uncertainty-Aware Multi-Task Deep Learning Framework for Cervical Lesion Segmentation and Classification
SegResNet	3D Segmentation of Coronary Arteries in Computer Tomography Angiography
Seismic Simulation	Accelerating Nonlinear Time-History Analysis with Complex Constitutive Laws via Heterogeneous Memory Management: From 3D Seismic Simulation to Neural Network Training
self-refining MRI	Generative Control of k-Space: \\A Foundation-Model Approach to Self-Optimizing MRI with Transformers, Diffusion Priors, and Adversarial Consistency
SEM	Thresholded FOCI for Undirected Graph Structure Learning with Binary Variables
semi-supervised learning	Patch Memory Bank k-NN for Semi-supervised Visual Hazard Detection in Indoor Mobile Robots
sensitivity analysis	Design-Ready Microwave Modeling by Spatial and Dimensional Domain Restriction
Sensor networks	Throughput and Reliability Trade-Offs of 6LoWPAN in Low-Power IoT and Smart Systems
Sequential decision-making	From Offline Trajectories to Steering Decisions: Decision Transformers for Probabilistic Geosteering
Service	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
Shadow AI	TrustChain-RAG: A Blockchain-Anchored Context Graph Framework for Auditable Knowledge Mining in a Gated Environment
shallow-water equations	Benchmarking Delft3D FM on HPC systems for real-life problems in surface water
Shapley Values	An Ensemble CNN Transfer Learning Model for Wheat Grain Classification
Shared Decision Tree	Greedy Algorithm for Modeling Approximate Decision Trees for Distributed Decision Tables
Shared-Memory Computing	Scalability of parallel shared-memory isogeometric alternating-direction solver
shrinkage	Multiscale modeling of solvent responsive gels: bridging COSMO-RS model with dissipative particle dynamics simulations
Siamese CNN	Satellite-based Conflict Damage Detection: Siamese CNNs for Forced Displacement Planning in Ukraine
Siamese neural networks	View-Independent 3D Gait Recognition Using Sequence-Based Siamese Networks
sigmoid	Efficient Integer-Only Implementation of Tanh and Sigmoid for Embedded AI on RISC-V
Sign Language Anonymization	SG-DiT: Semantic-Guided Sign Language Anonymization Balancing Privacy and Linguistic Fidelity
Similarity Methods	Recommendation system for education - an approach to suggesting learning sequences
Simulation	Proactive Forecasting with a Digital Twin in Emergency Departments: Preserving Key Performance Indicators Values Navigating Uncertainty: A Framework for Benchmarking Decision Quality in Fuzzy Petri Nets
simulation-based optimization	Multi-Fidelity Model Management Strategy for Accelerated Antenna Optimization Simulation based structural Optimization for Neural Network
Single Instruction Multiple Data (SIMD)	Infusing Computational Science into Computer Science: A Nifty SIMD Assignment
Sleep	An Agent Based Model of Effects of Sleep Deprivation on Suicidality
Smart City	Proactive Detection of Pedestrian Crossing Occlusions: Transforming Dashcams into Mobile Smart City Sensors
Social contagion	CHExNet: A 400-years Multilayer Network of Early Modern Collaboration at the Jagiellonian University
social sensing	AI for Wildfire: Detection and Spread Forecasting via multi-source and multi-modal data-driven models
Social Simulation	Beyond Black-Box Agents: Explainable and Validatable Generative ABMs
Social Systems Modeling	A Per-Cluster Multi-Scale Topic Modeling Framework with Unstructured and Heterogeneous Text Corpora
Socioecological integrated analysis	Quantifying Sustainability Transitions in European Agriculture: A Reproducible Workflow for Socioecological Indicator Calculation
software architecture	A personalized brain atlas for everyone: unlocking new frontiers for individuals, humanity, science, and artificial intelligence
Software Architecture for Simulation	From Formal Specifications to Executable Simulations: A Computation-Driven Metasystem for Agent-Based Modeling
Software Performance Engineering	Infusing Computational Science into Computer Science: A Nifty SIMD Assignment
Solubility and diffusion mechanism	Molecular Dynamics and First-Principles Study on Hydrogen Separation from Hydrogen-Blended Natural Gas using Palladium-Silver Alloy Membranes
solvent exchange	Multiscale modeling of solvent responsive gels: bridging COSMO-RS model with dissipative particle dynamics simulations
South Sudan	Studying the Effects of Climate Factors on Forced Migration Models: The Case of South Sudan
Space Astrometry	RACCOONS: Data Management Library for High-Performance Astrometric Reduction Pipelines
Sparse linear systems	Pore-Scale Modeling Framework with Embedded Boundaries and Automatic Jacobian Construction
Sparse Matrices	Dynamic Matrix Compression: A New Perspective on Two-Phase Flows
Sparse Supervision	Progressive Representation Merging for Data-Scarce Polymer Property Modeling
Spatial Refinement	Spatially refined transformer embeddings for accurate histopathology tissue classification
Spatio-Temporal Graph Convolution	Geometry-aware Recognition of Mouth Articulations for Sign Language Understanding
Spatio-Temporal Graph Convolutional Neural Networks	Geometry-aware Recognition of Mouth Articulations for Sign Language Understanding
speeding rate	Modelling Traffic Policy with Drivers and Government Behavior using Evolutionary Game Theory
Stability analysis	A Multiscale Modelling Framework for Endothelial Cells Monolayers: From RhoGTPase Network Dynamics to Barrier Integrity
Stacking	Cross-Validation-Based Hierarchical Decision Tree Framework for Dispersed Data Classification
State Space Models	Comparative study of Linear Attention Architectures for Geopotential Height Forecasting
statistical iterative reconstruction	Integrated Continuous-to-Continuous Forward Modelling and Rebinning Strategies for Low-Dose CT with Flying Focal Spot
Stokes flow	Pore-Scale Modeling Framework with Embedded Boundaries and Automatic Jacobian Construction
Storage	Integrating Policy and Infrastructure for Effective Data Management at the European XFEL
structural integrity	Non-destructive characterization of clay-printed components using mobile CT imaging in sustainable additive manufacturing
Structure from Motion	What Do Neural Radiance Fields Offer for 3D Human Reconstruction?
structure-function relations	Coarse-grained bead-spring model and machine-learning for in-silico rheology
Structured Parameter Sharing	Progressive Representation Merging for Data-Scarce Polymer Property Modeling
Subgraph isomorphism	Graph-Based Modeling of Alignment Relations and Pattern Detection
Successive substitution iterativ	A fast combined momentumed Newton-SSI solver for multicomponent phase equilibrium PT flash calculation
Suicidal Ideation	Graph-Theoretical Analysis of the Gut-Microbiome-Brain Axis: Identifying Mediators of Suicidal Ideation
Suicide	An Agent Based Model of Effects of Sleep Deprivation on Suicidality
Super-resolution	Mind the Gap: Quantifying the Domain Gap in Cross-Sensor Diffusion Super-Resolution
surrogate measurements	Data Assimilation with surrogate measurement equations
Surrogate Modeling	Comparison of Epistemic Uncertainty Quantification Methods for Out-of-Distribution Detection in Autoencoder–RNN Surrogate Model of Molecular-Continuum Flow Simulations Improving the efficiency and precision of data-driven surrogates for Monte-Carlo particle transport in the ALICE experiment
surrogate modelling	Balancing Accuracy and Speed: A Multi-Fidelity Ensemble Kalman Filter with a Machine Learning Surrogate Model
surrogate-based methods	Topology-Agnostic Antennas: Surrogate-Assisted Optimization of Fabrication Yield in a Distributed Setup
Susceptibles-Exposed-Infected-Recovered(SEIR) model	A Fractional Physics-Informed Neural Network with Ensemble Learning for Dengue Forecasting
sustainability	Emergent Spatial Traps in the Coevolutionary Commons: Human-AI Cooperation under Environmental Feedback
sustainable materials modeling	Reducing unnecessary computations in materials modeling
Swap network	Qubit Routing via swap Network: a Minimum Dominating Path Approach
swelling	Multiscale modeling of solvent responsive gels: bridging COSMO-RS model with dissipative particle dynamics simulations
SwinUNETR	3D Segmentation of Coronary Arteries in Computer Tomography Angiography
Symmetric key generation	Secure Biometric Authentication with Dynamic Symmetric Key Generation in IoT Systems
synchrotron radiation	Fast data processing for X-ray crystallography
synergy	Evaluating the Effectiveness and Stability of the Constrained Hybrid Metaheuristic Algorithm in Probabilistic Neural Networks Training
systems	Emergent Spatial Traps in the Coevolutionary Commons: Human-AI Cooperation under Environmental Feedback
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table constraint	From Table Constraints to QUBO Models for Quantum Annealing
technical analysis	Technical Indicators on Warsaw Stock Exchange: A Computational Study
TEEs	GroupTEE: Efficient Group-Oriented Secure Channel Establishment for TEEs
Telemetry integrity	Trustworthy Data Foundations for AI-Driven Analytics in Distributed IoT: A Validation-First Methodology
temporal modeling	Mask Cross-Attention Transformer for Robust Exercise Recognition Under Execution-Speed Domain Shift
Temporal networks	CHExNet: A 400-years Multilayer Network of Early Modern Collaboration at the Jagiellonian University
temporal stability	What Do Neural Radiance Fields Offer for 3D Human Reconstruction?
tensor resistance	A Novel Tensor Resistance-Based Pore-Network Model for Pore-Scale Fluid Flow in Porous Media
ternary fluid	Phase Morphology of Ternary Mixtures under Shear
Terrain-following coordinates	Multigrid Solver for a Bulk Lightning Model Coupled with a Meteorological Model with Terrain-Following Coordinates
Theory Construction Methodology	Formal Theory Construction of Gender Dysphoria
Three-body interactions	Adaptive Resolution Scheme for Non-additive Molecular Three-Body Potentials
Thresholded FOCI	Thresholded FOCI for Undirected Graph Structure Learning with Binary Variables
time harmonic Maxwell equations	AVS-FE Simulations of Hard Magnetic Soft Materials subject to Steady State Electromagnetic Fields
Time of Arrival Computations	Hybrid Two-Dimensional Wildfire Growth Model for High Resolution Environments
Time series	Prediction and Causality of functional MRI and synthetic signal using a Zero-Shot Time-Series Foundation Model
TinyViT	Spatially refined transformer embeddings for accurate histopathology tissue classification
topological data analysis	Decision--Centric Network Sensing: Topology-Aware Control of Adaptive Graph Exploration Generative Control of k-Space: \\A Foundation-Model Approach to Self-Optimizing MRI with Transformers, Diffusion Priors, and Adversarial Consistency Controlling Structure Under Uncertainty: Decision-Theoretic Topology for Extreme-Scale Scientific Simulation
topology-agnostic antennas	Topology-Agnostic Antennas: Surrogate-Assisted Optimization of Fabrication Yield in a Distributed Setup
traffic policy	Modelling Traffic Policy with Drivers and Government Behavior using Evolutionary Game Theory
transfer learning	Rapid Identification of Soil Contamination by Pathogenic Fungi Using Single-Instance Driven Convolutional Neural Networks
Transformer	SG-DiT: Semantic-Guided Sign Language Anonymization Balancing Privacy and Linguistic Fidelity
Transgender	Employing Neo-Psychometric Natural Language Processing in Classification of Anti-Trans Social Media Posts
Transmisogyny	Employing Neo-Psychometric Natural Language Processing in Classification of Anti-Trans Social Media Posts
Transphobia	Employing Neo-Psychometric Natural Language Processing in Classification of Anti-Trans Social Media Posts
Treatment	Machine learning in the prediction of treatment response for emotional disorders: A systematic review and meta-analysis
Treatment Planning	The Rise of Conversational Modeling in Predictive Oncology
Tritium Breeding	Uncertainty Quantification for Multiscale Model of Tritium Breeding Materials
Trustworthy AI	Trustworthy Data Foundations for AI-Driven Analytics in Distributed IoT: A Validation-First Methodology
Turbulent flows	A Unified Autoregressive-Diffusion Framework for Stable Long-Horizon and High-Resolution Multiscale Flow Modeling
Two-Phase Flow	Dynamic Matrix Compression: A New Perspective on Two-Phase Flows
Type 2 Diabetes	Mechanistic Modeling of Stress-Induced Glucose Dysregulation: Calibrating a Coupled HPA-Metabolic Framework to the UK Biobank
U
U-Net	Anatomy-Informed Deep Learning for Abdominal Aortic Aneurysm Segmentation
UK Biobank	Mechanistic Modeling of Stress-Induced Glucose Dysregulation: Calibrating a Coupled HPA-Metabolic Framework to the UK Biobank
Ukraine (2022)	Transport Network Topology as a Determinant of Forced Displacement Dynamics: Case Study of Rail-Based Evacuation from Ukraine
Uncertainty	Uncertainty-Aware Multi-Task Deep Learning Framework for Cervical Lesion Segmentation and Classification A Grand Ensemble Integrating Ensemble Predictions by Multiple MLWP Weather Models Using JMA Initial Conditions Acceleration of computing domain solutions by the IFPIES
Uncertainty Quantification	Generative Control of k-Space: \\A Foundation-Model Approach to Self-Optimizing MRI with Transformers, Diffusion Priors, and Adversarial Consistency Uncertainty Quantification for Multiscale Model of Tritium Breeding Materials Credible Agent-Based Modeling of Crisis Evacuation: A Dual-Process Cognitive Architecture Conformal Prediction for Quantifying Uncertainty in Idealized Atmospheric Models Controlling Structure Under Uncertainty: Decision-Theoretic Topology for Extreme-Scale Scientific Simulation Comparison of Epistemic Uncertainty Quantification Methods for Out-of-Distribution Detection in Autoencoder–RNN Surrogate Model of Molecular-Continuum Flow Simulations Quantifying and Mitigating Epistemic Uncertainty in Local Rule‑Based Explanations SEAVEAtk: Building VVUQ Competency for Exascale Computational Science
Undergraduate Student Research	Student Research Achievements through Computational HPC Course Sequences
Undirected Binary Graphs	Thresholded FOCI for Undirected Graph Structure Learning with Binary Variables
UNHCR	Methodological Evolution and Knowledge Management in a Displacement Modelling Project: From Research Prototype to UNHCR Policy Tool
URL log analysis	Glial Gating: Biologically Inspired Channel Modulation and Pruning for Convolutional Networks
user behavior classification	Glial Gating: Biologically Inspired Channel Modulation and Pruning for Convolutional Networks
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Validation	SEAVEAtk: Building VVUQ Competency for Exascale Computational Science Comparative Study of Numerical Analysis and Wind Tunnel Experiments on the Flight Behavior of a Quadcopter Drone under Disturbance Winds
Validation-first methodology	Trustworthy Data Foundations for AI-Driven Analytics in Distributed IoT: A Validation-First Methodology
Variance Decomposition	Investigating Ensemble Reliability with CNN Post-Processing through Variance Decomposition
Variance evolution	Analysis of Parameter Settings for the Bat Algorithm Using Variance Evolution
Vasculitis	Vasculitis Outcome Prediction Using Machine Learning and Federated Learning
Vectorization	A Parallel and Vectorized Implementation of the McCaskill Algorithm for x86-64 and RISC-V Architectures
Vein Biometrics	Open-Set Vein Biometric Recognition with Deep Metric Learning
Verification	SEAVEAtk: Building VVUQ Competency for Exascale Computational Science
Video Compression	Optimizing the Performance and Efficiency of a Hybrid Video Encoder in Java
video transformers	Mask Cross-Attention Transformer for Robust Exercise Recognition Under Execution-Speed Domain Shift
Virtual machines	Containers Are (Almost) Free: Energy and Performance Analysis of AI Workloads under CPU Virtualization and GPU Power Capping
vision transformer	ViT-SpSH: A Hybrid Transformer-Spectral Head Architecture for Chromatic Aberration Detection and Localization
Vision Transformers	Spatially refined transformer embeddings for accurate histopathology tissue classification
visual anomaly detection	Patch Memory Bank k-NN for Semi-supervised Visual Hazard Detection in Indoor Mobile Robots
Visualisation tool	Mechanistic Interpretability Tool for AI Weather Models
ViT	Hybrid Privacy-preserving Histopathological Image Classification Using Fully Homomorphic Encryption Hyper-DINO: Efficient Hyperbolic Embeddings for Histopathological Content-Based Image Retrieval
Vorticity	Mechanistic Modeling of Vorticity-Facilitated Platelet Aggregation in Stenotic Expansions
W
Wall shear stress	Multiscale Modeling of Shear-Dependent Tumor Cell Adhesion
Warp	GPU-Accelerated Number Theoretic Transform-Based Privacy Amplification for Quantum Key Distribution
Warsaw Stock Exchange	Technical Indicators on Warsaw Stock Exchange: A Computational Study
Weak Galerkin finite elements	Quantum-Classical Hybrid Algorithms for Darcy Flow
Weather Forecasting	Comparative study of Linear Attention Architectures for Geopotential Height Forecasting
Wheat Grain	An Ensemble CNN Transfer Learning Model for Wheat Grain Classification
Whole-Slide Imaging (WSI)	Spatially refined transformer embeddings for accurate histopathology tissue classification
wildfire detection	AI for Wildfire: Detection and Spread Forecasting via multi-source and multi-modal data-driven models
Wildfire Simulation	Scalability of parallel shared-memory isogeometric alternating-direction solver Hybrid Two-Dimensional Wildfire Growth Model for High Resolution Environments
Wind Turbine	An Implicitly Differentiable Framework for Physics-Informed Wind Turbine Blade Design Optimization
Wireless networks	Throughput and Reliability Trade-Offs of 6LoWPAN in Low-Power IoT and Smart Systems
Within-Sample Orderings	Stability-Aware Relational kNN for Gene Expression Using Within-Sample Orderings
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X-ray computed tomography	Non-destructive characterization of clay-printed components using mobile CT imaging in sustainable additive manufacturing
X-Ray Microscopy
Y
yield optimization	Topology-Agnostic Antennas: Surrogate-Assisted Optimization of Fabrication Yield in a Distributed Setup
YOLO	3D Segmentation of Coronary Arteries in Computer Tomography Angiography Vision-Guided Agricultural Robot for Crop Detection Using Edge Computing on Embedded Hardware

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