ICCS 2025: INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE

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

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- Concurrent Algorithms	SOPMOA*: Unleashing Shared-Open Parallelism for High-Performance Multi-Objective Pathfinding
- Dimensional Reduction	SOPMOA*: Unleashing Shared-Open Parallelism for High-Performance Multi-Objective Pathfinding
- Dominance Checking	SOPMOA*: Unleashing Shared-Open Parallelism for High-Performance Multi-Objective Pathfinding
- Heuristic Search	SOPMOA*: Unleashing Shared-Open Parallelism for High-Performance Multi-Objective Pathfinding
- Multi-Objective Optimization	SOPMOA*: Unleashing Shared-Open Parallelism for High-Performance Multi-Objective Pathfinding
- Multi-Objective Shortest Path (MOSP)	SOPMOA*: Unleashing Shared-Open Parallelism for High-Performance Multi-Objective Pathfinding
- Parallel A* Search	SOPMOA*: Unleashing Shared-Open Parallelism for High-Performance Multi-Objective Pathfinding
- Pareto Optimality	SOPMOA*: Unleashing Shared-Open Parallelism for High-Performance Multi-Objective Pathfinding
- Priority Queue	SOPMOA*: Unleashing Shared-Open Parallelism for High-Performance Multi-Objective Pathfinding
- Shared-Memory Parallelism	SOPMOA*: Unleashing Shared-Open Parallelism for High-Performance Multi-Objective Pathfinding
3
3D Boundary Value Problems	Regularization Algorithm for Eliminating Singularities in the PIES Formula for 3D Multidomain Orthotropic Problems
A
AAM	Comparison of crash simulations on two types of flying cars
Activation	A Fractional Computation Based Deep Learning Framework for Silicosis Detection
Active Flow Control (AFC)	Model-Based Reinforcement Learning for Efficient Active Flow Control
Adaptive finite element method	Generation of quality Green’s function libraries in complex three-dimensional crustal structures by adaptive mesh refinement
Adaptive Healthcare Modeling	A customizable Agent-Based Simulation Framework for Emergency Departments
Adaptive physics refinement	Adaptive Physics Refinement for Anatomic Adhesive Dynamics Simulations
Adaptive resolution	Node-level Performance of Adaptive Resolution in ls1 mardyn
Adaptivity	A test space refinement strategy for Robust Variational Physics-Informed Neural Networks
Adhesive dynamics	Adaptive Physics Refinement for Anatomic Adhesive Dynamics Simulations
Advection-diffusion problem	Augmenting Petrov-Galerkin method with optimal test functions by DNN learning the inverse of the Gram matrix
adversarial attack	An Empirical Assessment of LLM-Based Approaches to Malicious Webpage Detection
Adversarial Examples	Precise Language Deception: XAI Driven Targeted Adversarial Examples with Restricted Knowledge
Adversarial training	SupResDiffGAN a new approach for the Super-Resolution task
Affective Computing	Microscopic Binary Engagement Model
age distributions	Modeling Firm Birth and Death Dynamics using Survival Fractions and Age Distributions
Agent Based Modeling	A customizable Agent-Based Simulation Framework for Emergency Departments
agent-based model	Preliminary comparison of different EDs performance, using Simulation
Agent-Based Modeling	Evolutionary game selection leads to emergent Inequality
Agent-Based Modeling (ABM)	Estimating Airborne Transmission Risk for Indoor Space: Coupling Agent-based Model and Computational Fluid Dynamics
agent-based modelling	AI-enhanced agent-based modelling approach for forced displacement predictions Simulation-based inference in agent-based models using spatio-temporal summary statistics FUMEplot: a Prototype Tool for Automated Visualisation of Uncertainties in Ensemble Modelling Outputs
AI	From Statement of Facts to Statutory Provisions – Efficient Retrieval of Relevant Legislation The use of the Chat GPT to solve mathematical programming tasks: a didactic experiment with the participation of Warsaw University of Life Sciences students
AI Applications	Modelling AI Applications using PAS2P on HPC Cloud Environments
AI coach	Turn Detection in Alpine Skiing Using Smartphone Sensors
AIOps	AIOps for Reliability: Evaluating Large Language Models for Automated Root Cause Analysis in Chaos Engineering
Airway Dynamics	SHAP-prioritised Machine Learning for Diagnostic grade Prediction of Lung Function
algorithm	Low Latency Recoding CORDIC Algorithm for FPGA Implementation
Algorithm Selection	Algorithm Selection in Short-Range Molecular Dynamics Simulations
algorithms	An Overview of High Performance Computing and Responsibly Reckless Algorithms
ALICE	Fast prediction of job execution times in the ALICE Grid through GPU-Based Inference with Quantization and Sparsity Techniques
Alignment	Accelerating Cloud-Based Transcriptomics: Performance Analysis and Optimization of the STAR Aligner Workflow
Alternating ordering	Leveraging positional bias of LLM in-context learning with Class-few-shot and Maj-Min alternating ordering
Amount of information	Hierarchical Structural Information -- Theory and Applications
Application	Graph-augmented Large Language Models Can Reach Human Intelligence in Clinical Applications
approximated bayesian computation	Simulation-based inference in agent-based models using spatio-temporal summary statistics
Approximation	Asymptotics in Curve Estimation by Modified Cubic Spline and Exponential Parameterization
Artifical intelligence	Enhancing Learning in Augmented Reality (AR): A Deep Learning Framework for Predicting Memory Retention in AR Environments
Artificial Agents	Emergent Communication in Merging Artificial Agent Populations
Artificial Intelligence	Discover the Tractable Latent Space of Floating Offshore Wind Turbine based on a Novel GNN-Encoder-Decoder-LSTM Deep Learning Architecture Remote Sensing AI for Crop Planting in Wildfire Fuel Mapping AI-enhanced agent-based modelling approach for forced displacement predictions Improving project-level code generation using combined relevant context An Algorithm for Calculating the Multidimensional Solution of the Fuzzy Sylvester Matrix Equation A machine learning-based framework for predicting candidate drug side effects from biological networks Enzyme Stability Prediction: Advancing with Ensemble Machine Learning and Explainable Artificial Intelligence Exploration and Learning Algorithms Used for Predicting Casting Properties Multidimensional granular approach to solving fuzzy complex system of linear equations
Astrometry	Making Astrometric Solver Tractable through In-Situ Visual Analytics
Atmospheric simulations	Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab
Attention map	AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs
Augmented reality	Enhancing Learning in Augmented Reality (AR): A Deep Learning Framework for Predicting Memory Retention in AR Environments
Automated Blood Cell Counting	Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting
Automatic Differentiation	Discrete Residual Loss Functions for Training Physics-Informed Neural Networks
AutoPas	Algorithm Selection in Short-Range Molecular Dynamics Simulations
AVISPA simulation	Formal Security Analysis of the Authentication Protocol in Smart Cities using AVISPA
AWS	Accelerating Cloud-Based Transcriptomics: Performance Analysis and Optimization of the STAR Aligner Workflow
B
B-spline basis functions	Using B-spline function properties in the PIES method to handle singularities in boundary value problems
Bagging	Novel Hierarchical Decision Tree Frameworks Introducing Tree Method Bagging-Stump Integration and Height Optimization
bat algorithm	Bat Algorithm for Automatic Chaos Control Method Driven by Multiplicative Pulses to the System Variables on the Logistic Map
Bayesian Search	Exploration and Learning Algorithms Used for Predicting Casting Properties
Behaviour Optimization	Simulation Modelling of Clinical Decision making for Personalized Policy Identification
Behavorial interaction	Enhancing Learning in Augmented Reality (AR): A Deep Learning Framework for Predicting Memory Retention in AR Environments
Benchmark Modeling	An Iterative Scheme for the Solidification and Macro-segregation Benchmark Modeling
Big Data	From the synaptome to the connectome: data bigness estimation for the human connectome at the nanoscale Making Astrometric Solver Tractable through In-Situ Visual Analytics
Bijels	Structural response of bijels stabilized by ellipsoidal magnetic particles
Bio-robotics	Development of a pH-Responsive Bio-robotics for Targeted Drug Delivery to Lung Cancer in the Vascular System
bioactivity prediction	Explainable Artificial Intelligence for Bioactivity Prediction: Unveiling the Challenges with Curated CDK2/4/6 Breast Cancer Dataset
Bioheat	Uncertainty Quantification of Thermal Damage in Hyperthermia as a Cancer Therapy
Bioinformatics	A machine learning-based framework for predicting candidate drug side effects from biological networks Logistic Regression with Covariate Clustering in Genome-wide Association Interaction Studies
Biological System	Biological Community Detection with Graph neural network and Network Curvature analysis on Gene Co-expression Networks.
Biot model	An Unconditionally Stable Split-Parallel Algorithm for the Coupled Stokes-Parabolic System Based on the Three-Field Biot Model
Bird sound classification	Advancing Bird Species Classification: A Fusion of Audio and Image Data
Black-Box optimization	Comparative Analysis of Black-Box Optimization Methods for Weather Intervention Design
Blockchain networks	Proof of Training: Obtaining Verifiable ML Models by Delegating Training to a Blockchain Network
Blood Smear Analysis	Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting
brain tumor simulations	EXPBrain: Exponential Integrators for Glioblastoma Brain Tumor Simulations
Bus scheduling	Bus Loop Scheduling with Dueling Double Deep Q Network
BVPs	Domain solutions obtained by the FPIES for potential 2D BVPs
Bézier Surface Patches	Regularization Algorithm for Eliminating Singularities in the PIES Formula for 3D Multidomain Orthotropic Problems
C
Cancer	Development of a pH-Responsive Bio-robotics for Targeted Drug Delivery to Lung Cancer in the Vascular System Uncertainty Quantification of Thermal Damage in Hyperthermia as a Cancer Therapy
Caputo derivative	Fourier Error Analysis of Caputo Derivative Approximations based on Lagrange Interpolation over Uniform Mesh
cardiac conduction system (CCS)	Simulation of Blood Flow in the Left Ventricle Considering Purkinje Fibers
CAS	The use of the Chat GPT to solve mathematical programming tasks: a didactic experiment with the participation of Warsaw University of Life Sciences students
cast iron	Exploration and Learning Algorithms Used for Predicting Casting Properties
Causal Discovery Algorithms	Uncertainties in Modeling Psychological Symptom Networks: the case of Suicide
Causal-based methods	To select or not to select? The role of meta-features selection in meta-learning tasks with tabular data
Centrality Difference	A Multilayer and temporal network for studying the connections of cross-listed stocks
Centrality metrics	Information flow between neighboring housing markets: A case from the Seoul metropolitan area
CFD	Comparison of crash simulations on two types of flying cars Simulation of Blood Flow in the Left Ventricle Considering Purkinje Fibers Towards sensitivity analysis: 3D venous modelling in the lower limb
changing architecture	Dynamic neural network with matrix-extended residual connections
chaos control	Bat Algorithm for Automatic Chaos Control Method Driven by Multiplicative Pulses to the System Variables on the Logistic Map
Chaos Engineering	AIOps for Reliability: Evaluating Large Language Models for Automated Root Cause Analysis in Chaos Engineering
Chaotic flows	Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows
chaotic maps	Bat Algorithm for Automatic Chaos Control Method Driven by Multiplicative Pulses to the System Variables on the Logistic Map
Chaotic system	Cluster-based Reduced-order Modelling and Control for Chaotic Systems with Extreme Events
Chat GPT	The use of the Chat GPT to solve mathematical programming tasks: a didactic experiment with the participation of Warsaw University of Life Sciences students
ChatGPT	Predicting stock prices with ChatGPT-annotated Reddit sentiment: Hype or reality?
cheminformatics	Explainable Artificial Intelligence for Bioactivity Prediction: Unveiling the Challenges with Curated CDK2/4/6 Breast Cancer Dataset
Circuit optimization	Dead Gate Elimination
Citation Grounding	CiteVerifier: How Good Are Citation Verifiers and How to Use Them?
class imbalance	Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification.
Class-few-shot	Leveraging positional bias of LLM in-context learning with Class-few-shot and Maj-Min alternating ordering
classical density functional theory	Application of molecular dynamics and cDFT for gas adsorption
classical limits	Towards Quantum Intelligent Agents: On the Potential and Possibilities of Quantum-Enhanced Decision-Making
classification	Dimensionality reduction in product of metric spaces Meta-Instance Selection. Combining the Properties of Multiple Instance-Selection Methods. Decision Trees and Machine Learning for Cybersecurity: How Model Settings Affect Attack Detection Quantum-Classical Dual Kernel SVMs for Power Quality Classification
Clinical Terminology	Graph-augmented Large Language Models Can Reach Human Intelligence in Clinical Applications
Closed rectangle	Natural convection in periodically heated porous-fluid system under local thermal non-equilibrium conditions: a numerical study for enhanced thermal management
Cloud Computing	Modelling AI Applications using PAS2P on HPC Cloud Environments
Cloud-computing	Accelerating Cloud-Based Transcriptomics: Performance Analysis and Optimization of the STAR Aligner Workflow
Clustering	Rockburst Forecasting using Composite Modeling for Seismic Sensors Data Cluster-based Reduced-order Modelling and Control for Chaotic Systems with Extreme Events
CNN	Understanding the Limitations of Deep Transformer Models for Sea Ice Forecasting
Coalition formation	Issues Importance Analysis for Reaching High-Quality Consensus in Preference-Based Conflict Scenarios
Coalition-based learning	Integrating Conflict Analysis and Rule-Based Systems for Dispersed Data Classification
coauthors graphs	Predicting future collaborations in a scientific community using graph neural networks
Code Generation	Improving project-level code generation using combined relevant context
cognitive science	Unraveling the Complex Interactions of Human Well-Being with the Dynamics of Techno-Social Systems
Colab	Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab
Collocation points	Simple error estimation for PIES in 2D elasticity problems
communication	Structural Limiting Range of Perception in PSO
Community Detection	A Multilayer and temporal network for studying the connections of cross-listed stocks
compartmental models	Predicting disease transmission rates for hybrid modeling of epidemic outbreaks: statistical and machine learning approaches
Competitive adsorption	Study on hydrogen dissociation and adsorption behavior in hydrogen-blended natural gas pipelines
compilers options	Time and energy consumption of multithreaded matrix factorization using various compilers optimizations
complex networks	Uncovering and Verifying Optimal Community Structure in Complex Networks: A MaxSAT Approach Predicting future collaborations in a scientific community using graph neural networks Lightweight heterogeneous SEIR models for epidemic surveillance in Russian cities: turning synthetic populations into equations
Complex systems	Bus Loop Scheduling with Dueling Double Deep Q Network From the synaptome to the connectome: data bigness estimation for the human connectome at the nanoscale
complex systems	Unraveling the Complex Interactions of Human Well-Being with the Dynamics of Techno-Social Systems
Complexity Science	How Quantum Agents Can Change Which Strategies Are More Complex
complexity science	When Complexity Meets Policy and Politics
Compression Particle-in-Cell	Physics-Aware Compression of Plasma Distribution Functions with GPU-Accelerated Gaussian Mixture Models
compromise solution	Compromise Fuzzy Ranking: a novel method for reaching consensus in complex multi-criteria decision problems
Computational Fluid Dynamics	Numerical Analysis of Dolphin Kick in Competitive Swimming with Free Surface Effects
Computational Fluid Dynamics (CFD)	Estimating Airborne Transmission Risk for Indoor Space: Coupling Agent-based Model and Computational Fluid Dynamics
Computational Immunology	A Computational Immune Approach for Modeling Different Levels of Severity in COVID-19 Infections Predicting Antibody Responses to Type V GBS-TT Conjugate Vaccine Using Computational Modelling
Computational Modelling	Predicting Antibody Responses to Type V GBS-TT Conjugate Vaccine Using Computational Modelling
Computational Oncology	Multiscale Parallel Simulation of Malignant Pleural Mesothelioma via Adaptive Domain Partitioning – an Efficiency Analysis Study
Computational Optimization	From Recursion to Parallelism: Plug & Play Dynamic Programming
computational procedures	Control synthesis of homogeneous approximations of nonlinear systems
Computational Vaccinology	Predicting Antibody Responses to Type V GBS-TT Conjugate Vaccine Using Computational Modelling
Computational Verification	Uncovering and Verifying Optimal Community Structure in Complex Networks: A MaxSAT Approach
Computer Graphics	Asymptotics in Curve Estimation by Modified Cubic Spline and Exponential Parameterization
Computer vision	Automatic Detection and Segmentation of Coronary Artery Stenosis in Coronary Angiography Images
conceptual model inference	Reversed Model Verification by Inferring Conceptual Models from Simulation Code
Conflict analysis	Integrating Conflict Analysis and Rule-Based Systems for Dispersed Data Classification Unified and Diverse Coalition Formation in Dispersed Data Classification -- A Conflict Analysis Approach with Weighted Decision Trees
Connectionist Theory	A Connectionist Approach to Federated Digital Twins
Connectome	From the synaptome to the connectome: data bigness estimation for the human connectome at the nanoscale
Consensus	Issues Importance Analysis for Reaching High-Quality Consensus in Preference-Based Conflict Scenarios
Consensus mechanism	Proof of Training: Obtaining Verifiable ML Models by Delegating Training to a Blockchain Network
constraint programming	Adaptive Modular Housing Design for Crisis Situations Exact and approximate methods for solving the edge-strength problem Modeling the Cyclic Bandwidth Problem in QUBO for Quantum Annealing
Contextual hallucination	AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs
continuous optimization	Bat Algorithm for Automatic Chaos Control Method Driven by Multiplicative Pulses to the System Variables on the Logistic Map
Continuum simulation	MinRNNs for Lagrangian-Based Simulations of Transient Flow Problems
control synthesis	Control synthesis of homogeneous approximations of nonlinear systems
convolutional autoencoder	Latent Three-dimensional Variational Data Assimilation with Convolutional Autoencoder and LSTM for Flood Forecasting
Convolutional Neural Network	A Fractional Computation Based Deep Learning Framework for Silicosis Detection
Convolutional Neural Networks	Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting
CORDIC	Low Latency Recoding CORDIC Algorithm for FPGA Implementation
Coronary artery stenosis	Automatic Detection and Segmentation of Coronary Artery Stenosis in Coronary Angiography Images
CoT	An Empirical Assessment of LLM-Based Approaches to Malicious Webpage Detection
Counterfactual reasoning	To select or not to select? The role of meta-features selection in meta-learning tasks with tabular data
Coupled Simulations	Static Load Balancing for Molecular-Continuum Flow Simulations with Heterogeneous Particle Systems and on Heterogeneous Hardware
Covariates	Logistic Regression with Covariate Clustering in Genome-wide Association Interaction Studies
COVID-19	A Computational Immune Approach for Modeling Different Levels of Severity in COVID-19 Infections
crash	Comparison of crash simulations on two types of flying cars
Cropland	Remote Sensing AI for Crop Planting in Wildfire Fuel Mapping
Cross-listed stocks	A Multilayer and temporal network for studying the connections of cross-listed stocks
Crustal structure	Generation of quality Green’s function libraries in complex three-dimensional crustal structures by adaptive mesh refinement
CUDA	Performance-energy investigation of selected applications using a parallel multi-GPU genetic algorithm under power capping
CUDA Graphs	Investigation of CUDA Graphs performance for selected parallel applications
Curve Modelling	Asymptotics in Curve Estimation by Modified Cubic Spline and Exponential Parameterization
customers behaviour	A Dynamic Model of Customers Behavior: Integrating Econophysics and Physics-Informed Neural Networks
cyber-attacks	Decision Trees and Machine Learning for Cybersecurity: How Model Settings Affect Attack Detection
cyclic bandwidth problem	Modeling the Cyclic Bandwidth Problem in QUBO for Quantum Annealing
D
Data Assimilation	Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows Assimilation of Data for Dynamic Digital Twins by Learning Covariance Information
Data Augmentation	Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification.
Data Fitting	Making Astrometric Solver Tractable through In-Situ Visual Analytics
data mining	Instance selection by fast local set border selector
data scarcity	Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification.
data-centric computational science	Data-Centric Parallel Programming Abstractions for High Performance Computations
Data-driven modeling	Rockburst Forecasting using Composite Modeling for Seismic Sensors Data
data-driven predictor	Large-scale nonlinear viscoelastic simulation for crustal deformation accelerated by data-driven method and multi-grid solver
data-parallel applications	Data-Centric Parallel Programming Abstractions for High Performance Computations
dataset distillation	Dataset Distillation via Kantorovich-Rubinstein Dual of Wasserstein Distance
decision making	Towards Quantum Intelligent Agents: On the Potential and Possibilities of Quantum-Enhanced Decision-Making
Decision rule induction	Integrating Conflict Analysis and Rule-Based Systems for Dispersed Data Classification
Decision Support	Actionable Fire Modeling in Firemap for Extended Attack Decision Support
Decision support systems	Simulation Modelling of Clinical Decision making for Personalized Policy Identification Issues Importance Analysis for Reaching High-Quality Consensus in Preference-Based Conflict Scenarios
decision tree	Decision Trees and Machine Learning for Cybersecurity: How Model Settings Affect Attack Detection
Decision Tree Optimization	Novel Hierarchical Decision Tree Frameworks Introducing Tree Method Bagging-Stump Integration and Height Optimization
Decision trees	Prototype-pairs Decomposition for Extracting Simple and Meaningful Rules Unified and Diverse Coalition Formation in Dispersed Data Classification -- A Conflict Analysis Approach with Weighted Decision Trees
Decolorization	A New Technique for Enhanced Monochrome Visualization of Non-Visual Data
Decoupled method	An Unconditionally Stable Split-Parallel Algorithm for the Coupled Stokes-Parabolic System Based on the Three-Field Biot Model
Deep Dual Reinforcement Learning	Uncertainty-Aware Well Placement: Simulator-Verified Dual-Network Reinforcement Learning Approach meets Particle Filters
Deep Learning	Discover the Tractable Latent Space of Floating Offshore Wind Turbine based on a Novel GNN-Encoder-Decoder-LSTM Deep Learning Architecture Is heterogeneous model soup tasty? A Multidimensional Evaluation of Diverse Model Soups in Language Model Alignment Fast prediction of job execution times in the ALICE Grid through GPU-Based Inference with Quantization and Sparsity Techniques Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting Accelerating Super-Resolution Magnetic Resonance Imaging Using Toeplitz k-Space Matrices and Deep Learning Reconstruction Automatic Detection and Segmentation of Coronary Artery Stenosis in Coronary Angiography Images Enhancing AI Face Realism: Cost-Efficient Quality Improvement in Distilled Diffusion Models with a Fully Synthetic Dataset Enhancing Learning in Augmented Reality (AR): A Deep Learning Framework for Predicting Memory Retention in AR Environments
Deep Neural Networks	Introducing B-spline basis functions in neural network approximations
deep vein thrombosis	Towards sensitivity analysis: 3D venous modelling in the lower limb
DeepLabV3+	Automatic Detection and Segmentation of Coronary Artery Stenosis in Coronary Angiography Images
deformation and failure behaviours	Multi-Scale Simulations of Deformation and Failure Behaviours in Multi-Principal Element Alloys
Delegated ML	Proof of Training: Obtaining Verifiable ML Models by Delegating Training to a Blockchain Network
denoising	Accelerating Super-Resolution Magnetic Resonance Imaging Using Toeplitz k-Space Matrices and Deep Learning Reconstruction
DevOps	AIOps for Reliability: Evaluating Large Language Models for Automated Root Cause Analysis in Chaos Engineering
DFT calculation	Study on hydrogen dissociation and adsorption behavior in hydrogen-blended natural gas pipelines
Diabetes Mellitus	Simulation Modelling of Clinical Decision making for Personalized Policy Identification
Differential Evolution	A Computational Immune Approach for Modeling Different Levels of Severity in COVID-19 Infections Enhancing Gaussian Mixture Model Fitting via Equiprobable Binning and Adaptive Differential Evolution
diffusion approximation models	Modelling the Transient Evolution of Queues in Plugged-in Electric Vehicles(PEV) Fast Charging Stations
Diffusion models	SupResDiffGAN a new approach for the Super-Resolution task
digital signal processing	On floating point approximation of the reciprocal cube root function
Digital Twin	Microfluidic Digital Twin for Enhanced Single-Cell Analysis Discover the Tractable Latent Space of Floating Offshore Wind Turbine based on a Novel GNN-Encoder-Decoder-LSTM Deep Learning Architecture Assimilation of Data for Dynamic Digital Twins by Learning Covariance Information
Digital Twins	A Connectionist Approach to Federated Digital Twins
dimensionality reduction	Dimensionality reduction in product of metric spaces
Directed Acyclical Graphs	Uncertainties in Modeling Psychological Symptom Networks: the case of Suicide
disease outbreaks	Predicting disease transmission rates for hybrid modeling of epidemic outbreaks: statistical and machine learning approaches
Dispersed data	Unified and Diverse Coalition Formation in Dispersed Data Classification -- A Conflict Analysis Approach with Weighted Decision Trees
Dispersed data classification	Integrating Conflict Analysis and Rule-Based Systems for Dispersed Data Classification Novel Hierarchical Decision Tree Frameworks Introducing Tree Method Bagging-Stump Integration and Height Optimization
Dissociative adsorption	Study on hydrogen dissociation and adsorption behavior in hydrogen-blended natural gas pipelines
Distributed	Cross-Scale Modeling of Healthcare Norms and Patient Features Dynamics with Interpretable Machine Learning
Distributed Hash Table	A fast MPI-based Distributed Hash-Table as Surrogate Model for HPC Applications
Distributed Programming	BioSkel - Towards a framework for OMICS applications
Distribution Functions	Physics-Aware Compression of Plasma Distribution Functions with GPU-Accelerated Gaussian Mixture Models
distribution matching	Dataset Distillation via Kantorovich-Rubinstein Dual of Wasserstein Distance
Distribution Optimization	Enhancing Gaussian Mixture Model Fitting via Equiprobable Binning and Adaptive Differential Evolution
Distribution refinement	Simple error estimation for PIES in 2D elasticity problems
diversity	Structural Limiting Range of Perception in PSO
Downscaling	Transferability of UNet-Based Downscaling Model for High-Resolution Temperature Data Across Diverse Regions
Drug delivery	Development of a pH-Responsive Bio-robotics for Targeted Drug Delivery to Lung Cancer in the Vascular System
Drug side effect	A machine learning-based framework for predicting candidate drug side effects from biological networks
Dst Index Prediction	Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression
Dynamic circuit	Dead Gate Elimination
Dynamic circuits	Optimization Framework for Reducing Mid-circuit Measurements and Resets
Dynamic Maxent across Entwined Scales	Cross-Scale Modeling of Healthcare Norms and Patient Features Dynamics with Interpretable Machine Learning
dynamic neural network	Dynamic neural network with matrix-extended residual connections
Dynamic Programming	From Recursion to Parallelism: Plug & Play Dynamic Programming Accelerated Approximation of Bellman Equation Solutions for Agent Policy Optimization with a Feedforward Neural Network
Dynamical Systems	Bat Algorithm for Automatic Chaos Control Method Driven by Multiplicative Pulses to the System Variables on the Logistic Map Global Sensitivity Analysis for a Mathematical Model of General Escape Theory of Suicide
E
Eclipse attack	Formal Security Analysis of the Authentication Protocol in Smart Cities using AVISPA
econophysics	A Dynamic Model of Customers Behavior: Integrating Econophysics and Physics-Informed Neural Networks
Edge computing	Efficient Peptide MRM Transition Prediction via Convolutional Hashing
edge-based compartmental modeling	Lightweight heterogeneous SEIR models for epidemic surveillance in Russian cities: turning synthetic populations into equations
Edge-strength problem	Exact and approximate methods for solving the edge-strength problem
Efficiency of numerical schemes	Robust, Efficient, and Long-Time Accurate Schemes to Simulate Gas Storage in Geological Formation
eigenvalue problem	Verified Eigenvalue Calculation for the Laplace Operator
Ellipsoidal particles	Structural response of bijels stabilized by ellipsoidal magnetic particles
Emergency Departments	A customizable Agent-Based Simulation Framework for Emergency Departments
energy	Time and energy consumption of multithreaded matrix factorization using various compilers optimizations
Energy Stability Analysis	A Thermodynamically Consistent Model for Fluid-Solid Coupling in Fractured Porous Elastic Media with Strongly Compressible Fluid Flow
Engagement	Microscopic Binary Engagement Model
Ensemble Kalman Filter	Assimilation of Data for Dynamic Digital Twins by Learning Covariance Information
Ensemble Learning	Novel Hierarchical Decision Tree Frameworks Introducing Tree Method Bagging-Stump Integration and Height Optimization
Ensemble modelling	Enzyme Stability Prediction: Advancing with Ensemble Machine Learning and Explainable Artificial Intelligence
ensemble simulation	FUMEplot: a Prototype Tool for Automated Visualisation of Uncertainties in Ensemble Modelling Outputs
Ensembles of classifiers	Unified and Diverse Coalition Formation in Dispersed Data Classification -- A Conflict Analysis Approach with Weighted Decision Trees
epidemics	Predicting disease transmission rates for hybrid modeling of epidemic outbreaks: statistical and machine learning approaches
epidemiology	Lightweight heterogeneous SEIR models for epidemic surveillance in Russian cities: turning synthetic populations into equations
Epistasis	Logistic Regression with Covariate Clustering in Genome-wide Association Interaction Studies
Erdős-Rényi graphs	Towards Novel Migration Topologies for Parallel Evolutionary Algorithms
Error bounds	Verified Eigenvalue Calculation for the Laplace Operator
Error estimation	Simple error estimation for PIES in 2D elasticity problems
Evaluations	Modelling the Transient Evolution of Queues in Plugged-in Electric Vehicles(PEV) Fast Charging Stations
Evolutionary Game Theory	Evolutionary game selection leads to emergent Inequality
Exact solution methods	Exact and approximate methods for solving the edge-strength problem
Expectation Maximization	Enhancing Gaussian Mixture Model Fitting via Equiprobable Binning and Adaptive Differential Evolution
expert knowledge	A new approach to large-scale multi-criteria group decision-making based on the RANCOM method
explainable AI	Prototype-pairs Decomposition for Extracting Simple and Meaningful Rules Combining XAI and graph cuts for skin-lesion segmentation
explainable artificial intelligence	Explainable Artificial Intelligence for Bioactivity Prediction: Unveiling the Challenges with Curated CDK2/4/6 Breast Cancer Dataset
explainable machine learning	Dimensionality reduction in product of metric spaces
exponential integrators	EXPBrain: Exponential Integrators for Glioblastoma Brain Tumor Simulations
Extreme Event	Cluster-based Reduced-order Modelling and Control for Chaotic Systems with Extreme Events
Extreme uncertainty	Modelling Extreme Uncertainty: Queues with Pareto Inter-Arrival Times and Pareto Service Times
F
F3cake	F3cake: A Julia-Based Platform for Automatic Discretization and Solution of Partial Differential Equations
Fast Charging Stations	Modelling the Transient Evolution of Queues in Plugged-in Electric Vehicles(PEV) Fast Charging Stations
Fast Multipole Method	Domain solutions obtained by the FPIES for potential 2D BVPs
Fast PIES	Domain solutions obtained by the FPIES for potential 2D BVPs
FDM	Natural convection in periodically heated porous-fluid system under local thermal non-equilibrium conditions: a numerical study for enhanced thermal management
Feature Engineering in Molecular Modeling	Data-Driven Prediction of Glass Transition Temperature Using Molecular Structural Features
feature importance	Dimensionality reduction in product of metric spaces
feature selection	Dimensionality reduction in product of metric spaces Decision Trees and Machine Learning for Cybersecurity: How Model Settings Affect Attack Detection
Federated Systems	A Connectionist Approach to Federated Digital Twins
Few-shot	An Empirical Assessment of LLM-Based Approaches to Malicious Webpage Detection Leveraging positional bias of LLM in-context learning with Class-few-shot and Maj-Min alternating ordering
Fine-grained classification	Advancing Bird Species Classification: A Fusion of Audio and Image Data
fine-tuning	Enhancing AI Face Realism: Cost-Efficient Quality Improvement in Distilled Diffusion Models with a Fully Synthetic Dataset
Finite Element Method	Graph grammar model for h-adaptation for meshes with quadrilateral, pentagon, and hexagon elements Introducing B-spline basis functions in neural network approximations A Computational Framework for Modelling Biomechanical Tumour Dynamics and Tissue Interactions: A Proof-of-Concept in Pleural Mesothelioma An Unconditionally Stable Split-Parallel Algorithm for the Coupled Stokes-Parabolic System Based on the Three-Field Biot Model
Finite element modeling	Massively Parallel Computational Modeling of Porous Electrode Formation and Performance via Non-Solvent Induced Phase Separation for Redox Flow Batteries
Finite element simulations	Computer simulations of pollution propagation from power plant and in-field measurements of pollution from snowmobiles in the town of Longyearbyen at Spitsbergen
Finite Volume Discrete	Discrete Residual Loss Functions for Training Physics-Informed Neural Networks
Finite volume method	{\tt DarcyLite} Modules for Property-preserving Transport Solvers
Fisher-Kolmogorov diffusion-reaction model with logistic growth	EXPBrain: Exponential Integrators for Glioblastoma Brain Tumor Simulations
Fitting Reduced Data	Asymptotics in Curve Estimation by Modified Cubic Spline and Exponential Parameterization
Floating Offshore Wind Turbine	Discover the Tractable Latent Space of Floating Offshore Wind Turbine based on a Novel GNN-Encoder-Decoder-LSTM Deep Learning Architecture
flood forecasting	Latent Three-dimensional Variational Data Assimilation with Convolutional Autoencoder and LSTM for Flood Forecasting
Fluid-structure interaction	Adaptive Physics Refinement for Anatomic Adhesive Dynamics Simulations
Flux correction	{\tt DarcyLite} Modules for Property-preserving Transport Solvers
Forced displacement	AI-enhanced agent-based modelling approach for forced displacement predictions
Forward programming	F3cake: A Julia-Based Platform for Automatic Discretization and Solution of Partial Differential Equations
Fourier analysis of differencing errors	Fourier Error Analysis of Caputo Derivative Approximations based on Lagrange Interpolation over Uniform Mesh
FPGA	Low Latency Recoding CORDIC Algorithm for FPGA Implementation
Fractional Computation	A Fractional Computation Based Deep Learning Framework for Silicosis Detection
Fractured media	A Thermodynamically Consistent Model for Fluid-Solid Coupling in Fractured Porous Elastic Media with Strongly Compressible Fluid Flow
Free convection	Natural convection in periodically heated porous-fluid system under local thermal non-equilibrium conditions: a numerical study for enhanced thermal management
Free Surface	Numerical Analysis of Dolphin Kick in Competitive Swimming with Free Surface Effects
Frobenis Distance	Incorporating Performance Ordering in MCDA: A Study of the Frobenius SPOTIS Method
Fuel map	Remote Sensing AI for Crop Planting in Wildfire Fuel Mapping
Fusion of information	Advancing Bird Species Classification: A Fusion of Audio and Image Data
Fuzzy complex linear system	Multidimensional granular approach to solving fuzzy complex system of linear equations
Fuzzy complex number	Multidimensional granular approach to solving fuzzy complex system of linear equations
fuzzy ranking	Compromise Fuzzy Ranking: a novel method for reaching consensus in complex multi-criteria decision problems
Fuzzy Sylvester matrix equation	An Algorithm for Calculating the Multidimensional Solution of the Fuzzy Sylvester Matrix Equation
G
Galerkin method	Augmenting Petrov-Galerkin method with optimal test functions by DNN learning the inverse of the Gram matrix
Gas explosion	Study on consequences and safety distance for leakage and explosion in pipelines of hydrogen-blended natural gas stations
gas storage in geological Formation	Robust, Efficient, and Long-Time Accurate Schemes to Simulate Gas Storage in Geological Formation
Gaseous hydrogen permeation	Study on hydrogen dissociation and adsorption behavior in hydrogen-blended natural gas pipelines
Gaussian Graphical Model	Uncertainties in Modeling Psychological Symptom Networks: the case of Suicide
Gaussian Mixture Model	Enhancing Gaussian Mixture Model Fitting via Equiprobable Binning and Adaptive Differential Evolution
Gaussian-Mixture-Model Compression	Physics-Aware Compression of Plasma Distribution Functions with GPU-Accelerated Gaussian Mixture Models
Gaze duration	Enhancing Learning in Augmented Reality (AR): A Deep Learning Framework for Predicting Memory Retention in AR Environments
generative models	Enhancing AI Face Realism: Cost-Efficient Quality Improvement in Distilled Diffusion Models with a Fully Synthetic Dataset
Genetic Algorithm	Applying a Genetic Algorithm to Optimize Hail Prediction Using the Weather Research and Forecasting Model Sequential, parallel and consecutive hybrid evolutionary-swarm optimization metaheuristics Performance-energy investigation of selected applications using a parallel multi-GPU genetic algorithm under power capping
Geomagnetic Storms	Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression
Geomonitoring	Rockburst Forecasting using Composite Modeling for Seismic Sensors Data
Geosteering	Uncertainty-Aware Well Placement: Simulator-Verified Dual-Network Reinforcement Learning Approach meets Particle Filters
Glass Transition Temperature Prediction	Data-Driven Prediction of Glass Transition Temperature Using Molecular Structural Features
global optimization	Socio-cognitive agent-oriented evolutionary algorithm with trust-based optimization
Global Wind Atlas	Computer simulations of pollution propagation from power plant and in-field measurements of pollution from snowmobiles in the town of Longyearbyen at Spitsbergen
GNN	Biological Community Detection with Graph neural network and Network Curvature analysis on Gene Co-expression Networks.
GPGPU	Tensorial Implementation for Robust Variational Physics-Informed Neural Networks Investigation of CUDA Graphs performance for selected parallel applications
GPT	Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification.
GPU	Accelerating LBM with C++ STL Asynchronous Parallel Model Large-scale nonlinear viscoelastic simulation for crustal deformation accelerated by data-driven method and multi-grid solver
GPU Acceleration	Investigation of CUDA Graphs performance for selected parallel applications
GPUs	cuTeBool: Fast and Scalable Boolean matrix factorization on GPUs using Tensor Cores
Gram matrix	Augmenting Petrov-Galerkin method with optimal test functions by DNN learning the inverse of the Gram matrix
graph attention network	Predicting future collaborations in a scientific community using graph neural networks
Graph Clustering Heuristics	Uncovering and Verifying Optimal Community Structure in Complex Networks: A MaxSAT Approach
graph cuts	Combining XAI and graph cuts for skin-lesion segmentation
Graph Deep learning	Joint Spatial-Temporal Representation for Host Intrusion Detection System
graph labeling	Modeling the Cyclic Bandwidth Problem in QUBO for Quantum Annealing
graph neural networks	Predicting future collaborations in a scientific community using graph neural networks
Graph transformations	Computer simulations of pollution propagation from power plant and in-field measurements of pollution from snowmobiles in the town of Longyearbyen at Spitsbergen
Gravity model	Exploring the effect of spatial scales in studying urban mobility pattern
Green's function library	Generation of quality Green’s function libraries in complex three-dimensional crustal structures by adaptive mesh refinement
Grid Search	Exploration and Learning Algorithms Used for Predicting Casting Properties
Group B Streptococcus	Predicting Antibody Responses to Type V GBS-TT Conjugate Vaccine Using Computational Modelling
Group Engagement	Microscopic Binary Engagement Model
growing	Dynamic neural network with matrix-extended residual connections
GRU	MinRNNs for Lagrangian-Based Simulations of Transient Flow Problems
GWAIS	Logistic Regression with Covariate Clustering in Genome-wide Association Interaction Studies
GWAS	Logistic Regression with Covariate Clustering in Genome-wide Association Interaction Studies
H
Hail modeling	Applying a Genetic Algorithm to Optimize Hail Prediction Using the Weather Research and Forecasting Model
Hallucination detection	AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs
Hard constraints	Physics Informed Neural Networks for Non-Stationary Material Science Problems
HCI	Microscopic Binary Engagement Model
healthcare	Cross-Scale Modeling of Healthcare Norms and Patient Features Dynamics with Interpretable Machine Learning Graph-augmented Large Language Models Can Reach Human Intelligence in Clinical Applications
Hematological Diagnostics	Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting
Heterogeneous Architecture	Static Load Balancing for Molecular-Continuum Flow Simulations with Heterogeneous Particle Systems and on Heterogeneous Hardware
Heterogeneous computing	Adaptive Physics Refinement for Anatomic Adhesive Dynamics Simulations
heuristics	Adaptive Modular Housing Design for Crisis Situations
Hidden Markov Models	Learning finitely correlated states
Hierarchical classification	Integrating Conflict Analysis and Rule-Based Systems for Dispersed Data Classification
Hierarchical data	Hierarchical Structural Information -- Theory and Applications
Hierarchical information	Hierarchical Structural Information -- Theory and Applications
High Performance Computing	Accelerating LBM with C++ STL Asynchronous Parallel Model Uncertainty Quantification of Thermal Damage in Hyperthermia as a Cancer Therapy An Overview of High Performance Computing and Responsibly Reckless Algorithms
high-energy physics	Fast prediction of job execution times in the ALICE Grid through GPU-Based Inference with Quantization and Sparsity Techniques
High-Level Parallel Programming	BioSkel - Towards a framework for OMICS applications
High-performance computing	Investigation of CUDA Graphs performance for selected parallel applications Modelling AI Applications using PAS2P on HPC Cloud Environments
High-Resolution Operational Forecasts dataset	Computer simulations of pollution propagation from power plant and in-field measurements of pollution from snowmobiles in the town of Longyearbyen at Spitsbergen
High-Throughput Computing	Accelerating Cloud-Based Transcriptomics: Performance Analysis and Optimization of the STAR Aligner Workflow
homogeneous approximation	Control synthesis of homogeneous approximations of nonlinear systems
Horizontal complex fuzzy membership function	Multidimensional granular approach to solving fuzzy complex system of linear equations
Horizontal membership function	An Algorithm for Calculating the Multidimensional Solution of the Fuzzy Sylvester Matrix Equation
Housing market network	Information flow between neighboring housing markets: A case from the Seoul metropolitan area
HPDA	Data-Centric Parallel Programming Abstractions for High Performance Computations
Human Brain	From the synaptome to the connectome: data bigness estimation for the human connectome at the nanoscale
Hybrid Evolutionary-Swarm Metaheuristics	Sequential, parallel and consecutive hybrid evolutionary-swarm optimization metaheuristics
Hybrid quantum-classical algorithm	Dead Gate Elimination
hydrogen	Application of molecular dynamics and cDFT for gas adsorption
Hydrogen-blended natural gas	Study on hydrogen dissociation and adsorption behavior in hydrogen-blended natural gas pipelines
Hydrogen-blended natural gas station	Study on consequences and safety distance for leakage and explosion in pipelines of hydrogen-blended natural gas stations
hypergraph grammar	Graph grammar model for h-adaptation for meshes with quadrilateral, pentagon, and hexagon elements
Hyperspectral imaging	Hyperspectral image segmentation with a machine learning model trained using quantum annealer
Hyperthermia	Uncertainty Quantification of Thermal Damage in Hyperthermia as a Cancer Therapy
I
ill-posed problem	Neural parabolic wave equation for refractivity estimation
Image diffusion	Towards weight-space interpretation of Low-Rank Adapters for Diffusion Models
Image enhancement	A New Technique for Enhanced Monochrome Visualization of Non-Visual Data
image segmentation	Combining XAI and graph cuts for skin-lesion segmentation Hyperspectral image segmentation with a machine learning model trained using quantum annealer
Image super-resolution	SupResDiffGAN a new approach for the Super-Resolution task
In-context learning	Leveraging positional bias of LLM in-context learning with Class-few-shot and Maj-Min alternating ordering
Incremental PCA	Adaptive PCA-Based Outlier Detection for Multi-Feature Time Series in Space Missions
influenza	Lightweight heterogeneous SEIR models for epidemic surveillance in Russian cities: turning synthetic populations into equations
Information quantity	Hierarchical Structural Information -- Theory and Applications
information retrieval	PoliChat: Retrieval Augmented Generation on University Documents and Regulations From Statement of Facts to Statutory Provisions – Efficient Retrieval of Relevant Legislation
Instance selection	Meta-Instance Selection. Combining the Properties of Multiple Instance-Selection Methods. Instance selection by fast local set border selector
Integration Adaptivity	Adaptive Integration Point Selection for Robust Variational Physics-Informed Neural Networks
Intelligent Transportation System	Formal Security Analysis of the Authentication Protocol in Smart Cities using AVISPA
intention recognition	Automatic Help Summoning through Speech Analysis on Mobile Devices
Internet of Things	Automatic Help Summoning through Speech Analysis on Mobile Devices
Interpretability	Towards weight-space interpretation of Low-Rank Adapters for Diffusion Models
Interpretable Machine Learning	Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression Cross-Scale Modeling of Healthcare Norms and Patient Features Dynamics with Interpretable Machine Learning Integrating Conflict Analysis and Rule-Based Systems for Dispersed Data Classification
Inverse Design of Materials	Data-Driven Prediction of Glass Transition Temperature Using Molecular Structural Features
inverse problem	Neural parabolic wave equation for refractivity estimation
Inverse Reinforcement Learning	Simulation Modelling of Clinical Decision making for Personalized Policy Identification
island model	Socio-cognitive agent-oriented evolutionary algorithm with trust-based optimization
Isogeometric Analysis	Introducing B-spline basis functions in neural network approximations
Iterative Boltzmann Inversion	Node-level Performance of Adaptive Resolution in ls1 mardyn
Iterative Feature Refinement	SHAP-prioritised Machine Learning for Diagnostic grade Prediction of Lung Function
Iterative Scheme	An Iterative Scheme for the Solidification and Macro-segregation Benchmark Modeling
J
Jammed systems	Structural response of bijels stabilized by ellipsoidal magnetic particles
JavaScript	An Empirical Assessment of LLM-Based Approaches to Malicious Webpage Detection
JAX	Neural parabolic wave equation for refractivity estimation
job scheduling	Fast prediction of job execution times in the ALICE Grid through GPU-Based Inference with Quantization and Sparsity Techniques
judgment inaccuracy	A new approach to large-scale multi-criteria group decision-making based on the RANCOM method
Julia language	F3cake: A Julia-Based Platform for Automatic Discretization and Solution of Partial Differential Equations
K
k-Means Clustering	Logistic Regression with Covariate Clustering in Genome-wide Association Interaction Studies
k-Wave	Accelerating Two-Dimensional k-Wave Ultrasound Simulations Through Pruned FFT: A Treatment Planning Optimisation
Kantorovich-Rubinstein Dual	Dataset Distillation via Kantorovich-Rubinstein Dual of Wasserstein Distance
Key-Value Store	A fast MPI-based Distributed Hash-Table as Surrogate Model for HPC Applications
Knots	Using B-spline function properties in the PIES method to handle singularities in boundary value problems
knowledge distillation	Meta-Instance Selection. Combining the Properties of Multiple Instance-Selection Methods.
Knowledge Graph	Graph-augmented Large Language Models Can Reach Human Intelligence in Clinical Applications
KPI	Preliminary comparison of different EDs performance, using Simulation
L
Lagrangian	MinRNNs for Lagrangian-Based Simulations of Transient Flow Problems
Lagrangian mechanics	A Dynamic Model of Customers Behavior: Integrating Econophysics and Physics-Informed Neural Networks
Language Evolution	Emergent Communication in Merging Artificial Agent Populations
Language Games	Emergent Communication in Merging Artificial Agent Populations
Language Model Alignment	Is heterogeneous model soup tasty? A Multidimensional Evaluation of Diverse Model Soups in Language Model Alignment
Language Model Evaluation	Is heterogeneous model soup tasty? A Multidimensional Evaluation of Diverse Model Soups in Language Model Alignment
Large Language Model	Graph-augmented Large Language Models Can Reach Human Intelligence in Clinical Applications
Large Language Models	Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification. Leveraging positional bias of LLM in-context learning with Class-few-shot and Maj-Min alternating ordering NeoN: A Tool for Automated Detection, Linguistic and LLM-Driven Analysis of Neologisms in Polish AIOps for Reliability: Evaluating Large Language Models for Automated Root Cause Analysis in Chaos Engineering
large-scale group decision-making	A new approach to large-scale multi-criteria group decision-making based on the RANCOM method
latency	Low Latency Recoding CORDIC Algorithm for FPGA Implementation
latency optimization	Fast prediction of job execution times in the ALICE Grid through GPU-Based Inference with Quantization and Sparsity Techniques
Lattice Boltzmann Method	Accelerating LBM with C++ STL Asynchronous Parallel Model
Lattice-based cryptography	Formal Security Analysis of the Authentication Protocol in Smart Cities using AVISPA
Leakage diffusion	Study on consequences and safety distance for leakage and explosion in pipelines of hydrogen-blended natural gas stations
Learning automata	A Hybrid Q-LA approach to routing in Wireless Sensor Networks
Learning Theory	Learning finitely correlated states
Least Squares Optimization	i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression
left ventricular	Simulation of Blood Flow in the Left Ventricle Considering Purkinje Fibers
Legal answering systems	From Statement of Facts to Statutory Provisions – Efficient Retrieval of Relevant Legislation
Leukocyte Detection	Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting
lexical innovation	NeoN: A Tool for Automated Detection, Linguistic and LLM-Driven Analysis of Neologisms in Polish
link prediction	Predicting future collaborations in a scientific community using graph neural networks
LLM	Precise Language Deception: XAI Driven Targeted Adversarial Examples with Restricted Knowledge An Empirical Assessment of LLM-Based Approaches to Malicious Webpage Detection Reversed Model Verification by Inferring Conceptual Models from Simulation Code Graph-augmented Large Language Models Can Reach Human Intelligence in Clinical Applications AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs
Load Balancing	Static Load Balancing for Molecular-Continuum Flow Simulations with Heterogeneous Particle Systems and on Heterogeneous Hardware
Local and Global Models	Novel Hierarchical Decision Tree Frameworks Introducing Tree Method Bagging-Stump Integration and Height Optimization
Local thermal non-equilibrium conditions	Natural convection in periodically heated porous-fluid system under local thermal non-equilibrium conditions: a numerical study for enhanced thermal management
Logistic Regression	Logistic Regression with Covariate Clustering in Genome-wide Association Interaction Studies
long short-term memory	Latent Three-dimensional Variational Data Assimilation with Convolutional Autoencoder and LSTM for Flood Forecasting
long-tails	Modelling Extreme Uncertainty: Queues with Pareto Inter-Arrival Times and Pareto Service Times
long-term forecasting	Understanding the Limitations of Deep Transformer Models for Sea Ice Forecasting
long-time accurate simulation	Robust, Efficient, and Long-Time Accurate Schemes to Simulate Gas Storage in Geological Formation
low-quality videos	Improving Object Detection Quality in Football Through Super-Resolution Techniques
Low-rank adapters	Towards weight-space interpretation of Low-Rank Adapters for Diffusion Models
LSTM	MinRNNs for Lagrangian-Based Simulations of Transient Flow Problems
LU factorization	Time and energy consumption of multithreaded matrix factorization using various compilers optimizations
Lung Function	SHAP-prioritised Machine Learning for Diagnostic grade Prediction of Lung Function
M
machine learning	Explainable Artificial Intelligence for Bioactivity Prediction: Unveiling the Challenges with Curated CDK2/4/6 Breast Cancer Dataset Rockburst Forecasting using Composite Modeling for Seismic Sensors Data Instance selection by fast local set border selector A novel routing algorithm for optical networks based on ML methods Decision Trees and Machine Learning for Cybersecurity: How Model Settings Affect Attack Detection A machine learning-based framework for predicting candidate drug side effects from biological networks Predicting disease transmission rates for hybrid modeling of epidemic outbreaks: statistical and machine learning approaches SHAP-prioritised Machine Learning for Diagnostic grade Prediction of Lung Function
Machine learning algorithms	First Experiences on Exploiting Physics-Informed Neural Networks for Approximating Solutions of a Biological model
Machine Learning for Materials Design	Data-Driven Prediction of Glass Transition Temperature Using Molecular Structural Features
magnetic resonance	Accelerating Super-Resolution Magnetic Resonance Imaging Using Toeplitz k-Space Matrices and Deep Learning Reconstruction
Maj-Min	Leveraging positional bias of LLM in-context learning with Class-few-shot and Maj-Min alternating ordering
malicious webpage detection	An Empirical Assessment of LLM-Based Approaches to Malicious Webpage Detection
Malignant Pleural Mesothelioma	A Computational Framework for Modelling Biomechanical Tumour Dynamics and Tissue Interactions: A Proof-of-Concept in Pleural Mesothelioma Multiscale Parallel Simulation of Malignant Pleural Mesothelioma via Adaptive Domain Partitioning – an Efficiency Analysis Study
Material Point Method	MinRNNs for Lagrangian-Based Simulations of Transient Flow Problems
Material science simulations	Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab
mathematical didactic	The use of the Chat GPT to solve mathematical programming tasks: a didactic experiment with the participation of Warsaw University of Life Sciences students
mathematical programming	The use of the Chat GPT to solve mathematical programming tasks: a didactic experiment with the participation of Warsaw University of Life Sciences students
MATLAB code	EXPBrain: Exponential Integrators for Glioblastoma Brain Tumor Simulations
Matrix Factorization	cuTeBool: Fast and Scalable Boolean matrix factorization on GPUs using Tensor Cores
Maximum Satisfiability	Uncovering and Verifying Optimal Community Structure in Complex Networks: A MaxSAT Approach
MCDA	Incorporating Performance Ordering in MCDA: A Study of the Frobenius SPOTIS Method
Medical image analysis	Automatic Detection and Segmentation of Coronary Artery Stenosis in Coronary Angiography Images
Medical Norms	Cross-Scale Modeling of Healthcare Norms and Patient Features Dynamics with Interpretable Machine Learning
memory hierarchies	An Overview of High Performance Computing and Responsibly Reckless Algorithms
Memory retention	Enhancing Learning in Augmented Reality (AR): A Deep Learning Framework for Predicting Memory Retention in AR Environments
mesh adaptation	Graph grammar model for h-adaptation for meshes with quadrilateral, pentagon, and hexagon elements
Meta-features selection	To select or not to select? The role of meta-features selection in meta-learning tasks with tabular data
Meta-learning	To select or not to select? The role of meta-features selection in meta-learning tasks with tabular data
Metaheuristics	Exact and approximate methods for solving the edge-strength problem
Metanetworks	Towards weight-space interpretation of Low-Rank Adapters for Diffusion Models
metric learning	Dimensionality reduction in product of metric spaces
Microfluidic device	Microfluidic Digital Twin for Enhanced Single-Cell Analysis
Mid-circuit measurements	Optimization Framework for Reducing Mid-circuit Measurements and Resets
Mid-circuit Resets	Optimization Framework for Reducing Mid-circuit Measurements and Resets
migration topology	Towards Novel Migration Topologies for Parallel Evolutionary Algorithms
minGRU	MinRNNs for Lagrangian-Based Simulations of Transient Flow Problems
Minimal RNNs	MinRNNs for Lagrangian-Based Simulations of Transient Flow Problems
Minimum Chi-squared Estimation	Enhancing Gaussian Mixture Model Fitting via Equiprobable Binning and Adaptive Differential Evolution
minLSTM	MinRNNs for Lagrangian-Based Simulations of Transient Flow Problems
minRNNs	MinRNNs for Lagrangian-Based Simulations of Transient Flow Problems
mixed finite elements	A mixed finite element projection method for unsteady incompressible flow
MKL	Time and energy consumption of multithreaded matrix factorization using various compilers optimizations
Model Predictive Control	Comparative Analysis of Black-Box Optimization Methods for Weather Intervention Design
Model Soups	Is heterogeneous model soup tasty? A Multidimensional Evaluation of Diverse Model Soups in Language Model Alignment
model visualisation	FUMEplot: a Prototype Tool for Automated Visualisation of Uncertainties in Ensemble Modelling Outputs
Model-Based Reinforcement Learning (MBRL)	Model-Based Reinforcement Learning for Efficient Active Flow Control
Modeling	From the synaptome to the connectome: data bigness estimation for the human connectome at the nanoscale
modeling birth-death dynamics	Modeling Firm Birth and Death Dynamics using Survival Fractions and Age Distributions
modelling and simulation	Multi-Scale Simulations of Deformation and Failure Behaviours in Multi-Principal Element Alloys
Modified wavenumbers	Fourier Error Analysis of Caputo Derivative Approximations based on Lagrange Interpolation over Uniform Mesh
modular design	Adaptive Modular Housing Design for Crisis Situations
Modular Simulation Framework	A customizable Agent-Based Simulation Framework for Emergency Departments
Modularity Optimization	Uncovering and Verifying Optimal Community Structure in Complex Networks: A MaxSAT Approach
molecular dynamics	Algorithm Selection in Short-Range Molecular Dynamics Simulations Node-level Performance of Adaptive Resolution in ls1 mardyn Application of molecular dynamics and cDFT for gas adsorption
Molecular-continuum	Static Load Balancing for Molecular-Continuum Flow Simulations with Heterogeneous Particle Systems and on Heterogeneous Hardware
Monochrome images	A New Technique for Enhanced Monochrome Visualization of Non-Visual Data
Moving Grid	Numerical Analysis of Dolphin Kick in Competitive Swimming with Free Surface Effects
MRI	Accelerating Super-Resolution Magnetic Resonance Imaging Using Toeplitz k-Space Matrices and Deep Learning Reconstruction
MRM transitions	Efficient Peptide MRM Transition Prediction via Convolutional Hashing
multi-agent evolutionary systems	Socio-cognitive agent-oriented evolutionary algorithm with trust-based optimization
multi-criteria analysis	A new approach to large-scale multi-criteria group decision-making based on the RANCOM method
multi-criteria decision analysis	Compromise Fuzzy Ranking: a novel method for reaching consensus in complex multi-criteria decision problems Using SSP-VIKOR in Sustainable Share of Renewable Energy Sources Assessment
Multi-Criteria Decision-Making	Strong Sustainability Paradigm in TOPSIS Method: New Approach to Wind Farm Selection Problem Issues Importance Analysis for Reaching High-Quality Consensus in Preference-Based Conflict Scenarios
Multi-phase	An Iterative Scheme for the Solidification and Macro-segregation Benchmark Modeling
multi-principal element alloys	Multi-Scale Simulations of Deformation and Failure Behaviours in Multi-Principal Element Alloys
Multilayer Network	A Multilayer and temporal network for studying the connections of cross-listed stocks
Multilayer Perceptron	Accelerated Approximation of Bellman Equation Solutions for Agent Policy Optimization with a Feedforward Neural Network
Multiphase Simulations	Static Load Balancing for Molecular-Continuum Flow Simulations with Heterogeneous Particle Systems and on Heterogeneous Hardware
Multiple Equilibria	Evolutionary game selection leads to emergent Inequality
multiple GPUs	Performance-energy investigation of selected applications using a parallel multi-GPU genetic algorithm under power capping
multipoint flux approximation	A mixed finite element projection method for unsteady incompressible flow
Multiscale modeling	Adaptive Physics Refinement for Anatomic Adhesive Dynamics Simulations
Multiscale Modelling	Multiscale Parallel Simulation of Malignant Pleural Mesothelioma via Adaptive Domain Partitioning – an Efficiency Analysis Study
Multivariate Granger causality test	Information flow between neighboring housing markets: A case from the Seoul metropolitan area
N
Nanoscale	From the synaptome to the connectome: data bigness estimation for the human connectome at the nanoscale
Natural Language Processing	Improving project-level code generation using combined relevant context PoliChat: Retrieval Augmented Generation on University Documents and Regulations CiteVerifier: How Good Are Citation Verifiers and How to Use Them? Automatic Help Summoning through Speech Analysis on Mobile Devices
neologism detection and filtering	NeoN: A Tool for Automated Detection, Linguistic and LLM-Driven Analysis of Neologisms in Polish
Network analysis	Hierarchical Structural Information -- Theory and Applications
Network Attack Detection	Joint Spatial-Temporal Representation for Host Intrusion Detection System
Network Curvature	Biological Community Detection with Graph neural network and Network Curvature analysis on Gene Co-expression Networks.
network models	Predicting disease transmission rates for hybrid modeling of epidemic outbreaks: statistical and machine learning approaches
Network sampling	Covering the online spectrum of opinion in social context: the benefit of network node sampling through an Italian case study
Neural Networks	Adaptive Integration Point Selection for Robust Variational Physics-Informed Neural Networks
neural posterior estimation	Simulation-based inference in agent-based models using spatio-temporal summary statistics
neural ratio estimation	Simulation-based inference in agent-based models using spatio-temporal summary statistics
Neuron	From the synaptome to the connectome: data bigness estimation for the human connectome at the nanoscale
new words	NeoN: A Tool for Automated Detection, Linguistic and LLM-Driven Analysis of Neologisms in Polish
NLP	AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs
Non-Linear Regression	i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression
Non-Markovianity	Fundamental limits on quantum prediction Multipartite Quantum State Over Time and Markovianity Memory-minimal quantum generation of stochastic processes: spectral invariants of quantum hidden Markov models Learning in Continuously-Monitored and Repeatedly-Interacting Quantum Systems Quantum memory advantages for modelling complex dynamics
Non-stationary Navier-Stokes	Physics Informed Neural Networks for Non-Stationary Material Science Problems
Non-visual domains	A New Technique for Enhanced Monochrome Visualization of Non-Visual Data
nonlinear approximation	Control synthesis of homogeneous approximations of nonlinear systems
nonlinear system	Control synthesis of homogeneous approximations of nonlinear systems
Numerical Algorithms	On floating point approximation of the reciprocal cube root function
numerical computations	First Experiences on Exploiting Physics-Informed Neural Networks for Approximating Solutions of a Biological model
numerical experiment	Classification of the Polish Handwritten Letters by the use of Quantum Convolutional Neural Network
Numerical platform	F3cake: A Julia-Based Platform for Automatic Discretization and Solution of Partial Differential Equations
Numerical simulation	Study on consequences and safety distance for leakage and explosion in pipelines of hydrogen-blended natural gas stations
Numerical Weather Prediction	Applying a Genetic Algorithm to Optimize Hail Prediction Using the Weather Research and Forecasting Model
O
object detection	Improving Object Detection Quality in Football Through Super-Resolution Techniques
older adults	Automatic Help Summoning through Speech Analysis on Mobile Devices
online content selection	Covering the online spectrum of opinion in social context: the benefit of network node sampling through an Italian case study
Online learning	Adaptive PCA-Based Outlier Detection for Multi-Feature Time Series in Space Missions
Ontology Engineering	Making Astrometric Solver Tractable through In-Situ Visual Analytics
Open-source	F3cake: A Julia-Based Platform for Automatic Discretization and Solution of Partial Differential Equations
OpenACC	Large-scale nonlinear viscoelastic simulation for crustal deformation accelerated by data-driven method and multi-grid solver
Operator-splitting	An Iterative Scheme for the Solidification and Macro-segregation Benchmark Modeling
opinion mining	Covering the online spectrum of opinion in social context: the benefit of network node sampling through an Italian case study
Optical network	A novel routing algorithm for optical networks based on ML methods
Optimal Transport	Dataset Distillation via Kantorovich-Rubinstein Dual of Wasserstein Distance
Optimisation	Combinatorial Optimization with Few Qubits
Optimization	Accelerating Cloud-Based Transcriptomics: Performance Analysis and Optimization of the STAR Aligner Workflow A Computational Immune Approach for Modeling Different Levels of Severity in COVID-19 Infections The use of the Chat GPT to solve mathematical programming tasks: a didactic experiment with the participation of Warsaw University of Life Sciences students
Orthotropy	Regularization Algorithm for Eliminating Singularities in the PIES Formula for 3D Multidomain Orthotropic Problems
Outdoor air quality at Longyearbyen in Spitsbergen	Computer simulations of pollution propagation from power plant and in-field measurements of pollution from snowmobiles in the town of Longyearbyen at Spitsbergen
Outlier detection	Adaptive PCA-Based Outlier Detection for Multi-Feature Time Series in Space Missions
output coupling	FUMEplot: a Prototype Tool for Automated Visualisation of Uncertainties in Ensemble Modelling Outputs
P
Parallel Computing	cuTeBool: Fast and Scalable Boolean matrix factorization on GPUs using Tensor Cores Accelerating LBM with C++ STL Asynchronous Parallel Model Investigation of CUDA Graphs performance for selected parallel applications From Recursion to Parallelism: Plug & Play Dynamic Programming
parallel evolutionary algorithm	Towards Novel Migration Topologies for Parallel Evolutionary Algorithms
Parallel programming	Data-Centric Parallel Programming Abstractions for High Performance Computations
Parallel Simulation	Multiscale Parallel Simulation of Malignant Pleural Mesothelioma via Adaptive Domain Partitioning – an Efficiency Analysis Study
Parallelization of tensor operations	Tensorial Implementation for Robust Variational Physics-Informed Neural Networks
Parametric integral equation system (PIES)	Using B-spline function properties in the PIES method to handle singularities in boundary value problems Simple error estimation for PIES in 2D elasticity problems
ParaView visualization	EXPBrain: Exponential Integrators for Glioblastoma Brain Tumor Simulations
Pareto queues	Modelling Extreme Uncertainty: Queues with Pareto Inter-Arrival Times and Pareto Service Times
Partial Differential	Adaptive Integration Point Selection for Robust Variational Physics-Informed Neural Networks
Partial Differential Equations	A test space refinement strategy for Robust Variational Physics-Informed Neural Networks Introducing B-spline basis functions in neural network approximations
Particle Filters	Uncertainty-Aware Well Placement: Simulator-Verified Dual-Network Reinforcement Learning Approach meets Particle Filters
particle swarm optimization	Structural Limiting Range of Perception in PSO Sequential, parallel and consecutive hybrid evolutionary-swarm optimization metaheuristics
particle-based methods	MinRNNs for Lagrangian-Based Simulations of Transient Flow Problems
Particle-stabilized emulsions	Structural response of bijels stabilized by ellipsoidal magnetic particles
PAWN Sensitivity Indices	Global Sensitivity Analysis for a Mathematical Model of General Escape Theory of Suicide
Pedagogical Innovation	From Recursion to Parallelism: Plug & Play Dynamic Programming
Peptide quantification	Efficient Peptide MRM Transition Prediction via Convolutional Hashing
Performance	Modelling the Transient Evolution of Queues in Plugged-in Electric Vehicles(PEV) Fast Charging Stations
Performance Analysis	Modelling AI Applications using PAS2P on HPC Cloud Environments
Performance evaluation	Investigation of CUDA Graphs performance for selected parallel applications
performance-energy optimization	Performance-energy investigation of selected applications using a parallel multi-GPU genetic algorithm under power capping
Periodically heating	Natural convection in periodically heated porous-fluid system under local thermal non-equilibrium conditions: a numerical study for enhanced thermal management
Persistent Inequality	Evolutionary game selection leads to emergent Inequality
Petrov-Galerkin method with optimal test functions Deep Neural Networks	Augmenting Petrov-Galerkin method with optimal test functions by DNN learning the inverse of the Gram matrix
pharmacology	A machine learning-based framework for predicting candidate drug side effects from biological networks
pharmacophores	Explainable Artificial Intelligence for Bioactivity Prediction: Unveiling the Challenges with Curated CDK2/4/6 Breast Cancer Dataset
Phase separation	Massively Parallel Computational Modeling of Porous Electrode Formation and Performance via Non-Solvent Induced Phase Separation for Redox Flow Batteries
Phase-field modeling	Massively Parallel Computational Modeling of Porous Electrode Formation and Performance via Non-Solvent Induced Phase Separation for Redox Flow Batteries
physics informed machine learning	Neural parabolic wave equation for refractivity estimation
Physics Informed Neural Networks	Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab Physics Informed Neural Networks for Non-Stationary Material Science Problems
Physics-Informed Neural Networks	A Dynamic Model of Customers Behavior: Integrating Econophysics and Physics-Informed Neural Networks A test space refinement strategy for Robust Variational Physics-Informed Neural Networks First Experiences on Exploiting Physics-Informed Neural Networks for Approximating Solutions of a Biological model
PINNs	Discrete Residual Loss Functions for Training Physics-Informed Neural Networks
Plug-and-Play Algorithms	From Recursion to Parallelism: Plug & Play Dynamic Programming
Plugged-in Electric Vehicles (PEV)	Modelling the Transient Evolution of Queues in Plugged-in Electric Vehicles(PEV) Fast Charging Stations
policy making	When Complexity Meets Policy and Politics
Policy Simulation	Simulation Modelling of Clinical Decision making for Personalized Policy Identification
politics	When Complexity Meets Policy and Politics
Poroelasticity	A Thermodynamically Consistent Model for Fluid-Solid Coupling in Fractured Porous Elastic Media with Strongly Compressible Fluid Flow
Porous media	An Unconditionally Stable Split-Parallel Algorithm for the Coupled Stokes-Parabolic System Based on the Three-Field Biot Model
Porous-fluid interaction	Natural convection in periodically heated porous-fluid system under local thermal non-equilibrium conditions: a numerical study for enhanced thermal management
Positional bias	Leveraging positional bias of LLM in-context learning with Class-few-shot and Maj-Min alternating ordering
Positivity-preserving	{\tt DarcyLite} Modules for Property-preserving Transport Solvers
post-thrombotic syndrome	Towards sensitivity analysis: 3D venous modelling in the lower limb
power capping	Performance-energy investigation of selected applications using a parallel multi-GPU genetic algorithm under power capping
Power quality disturbance	Quantum-Classical Dual Kernel SVMs for Power Quality Classification
Power-law rheology	Large-scale nonlinear viscoelastic simulation for crustal deformation accelerated by data-driven method and multi-grid solver
Predictive models	AI-enhanced agent-based modelling approach for forced displacement predictions
Preference-based conflict	Issues Importance Analysis for Reaching High-Quality Consensus in Preference-Based Conflict Scenarios
projection methods	A mixed finite element projection method for unsteady incompressible flow
Protein stability prediction	Enzyme Stability Prediction: Advancing with Ensemble Machine Learning and Explainable Artificial Intelligence
Prototype-Based Learning	Prototype-pairs Decomposition for Extracting Simple and Meaningful Rules
Pruned Fast Fourier Transform	Accelerating Two-Dimensional k-Wave Ultrasound Simulations Through Pruned FFT: A Treatment Planning Optimisation
Pseudo-coloring	A New Technique for Enhanced Monochrome Visualization of Non-Visual Data
Pseudo-spectral methods	Accelerating Two-Dimensional k-Wave Ultrasound Simulations Through Pruned FFT: A Treatment Planning Optimisation
Psychological Networks	Uncertainties in Modeling Psychological Symptom Networks: the case of Suicide
Public transport flow	Exploring the effect of spatial scales in studying urban mobility pattern
Purkinje fiber	Simulation of Blood Flow in the Left Ventricle Considering Purkinje Fibers
Q
Q-learning	A Hybrid Q-LA approach to routing in Wireless Sensor Networks
QML	Hyperspectral image segmentation with a machine learning model trained using quantum annealer
Quadrilateral meshes	{\tt DarcyLite} Modules for Property-preserving Transport Solvers
Quantitative CT	SHAP-prioritised Machine Learning for Diagnostic grade Prediction of Lung Function
Quantum Agents	Learning, Compression and Quantum Information How Quantum Agents Can Change Which Strategies Are More Complex Towards Quantum Intelligent Agents: On the Potential and Possibilities of Quantum-Enhanced Decision-Making
Quantum Algorithms	Combinatorial Optimization with Few Qubits An Efficient Quantum Algorithm for Discovering Rare Events of Stochastic Processes How Quantum Agents Can Change Which Strategies Are More Complex
Quantum Annealing	i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression Modeling the Cyclic Bandwidth Problem in QUBO for Quantum Annealing
Quantum Causality	What cannot be learned in the quantum universe
Quantum circuit optimization	Optimization Framework for Reducing Mid-circuit Measurements and Resets
Quantum compilation	Optimization Framework for Reducing Mid-circuit Measurements and Resets
Quantum Computing	Learning with Repeated Classical-Quantum Interactions An Efficient Quantum Algorithm for Discovering Rare Events of Stochastic Processes
Quantum constant propagation	Optimization Framework for Reducing Mid-circuit Measurements and Resets
quantum convolutional neural network	Classification of the Polish Handwritten Letters by the use of Quantum Convolutional Neural Network
Quantum Correlations	Learning finitely correlated states Multipartite Quantum State Over Time and Markovianity
Quantum Foundations	What cannot be learned in the quantum universe
quantum hardware	On the status of current quantum machine learning software
Quantum hybrid programs	Optimization Framework for Reducing Mid-circuit Measurements and Resets
Quantum Information	Learning with Repeated Classical-Quantum Interactions Learning, Compression and Quantum Information Combinatorial Optimization with Few Qubits An Efficient Quantum Algorithm for Discovering Rare Events of Stochastic Processes Multipartite Quantum State Over Time and Markovianity Memory-minimal quantum generation of stochastic processes: spectral invariants of quantum hidden Markov models
quantum machine learning	i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression On the status of current quantum machine learning software Classification of the Polish Handwritten Letters by the use of Quantum Convolutional Neural Network Quantum-Classical Dual Kernel SVMs for Power Quality Classification Learning with Repeated Classical-Quantum Interactions
Quantum Machine-Learning	What cannot be learned in the quantum universe
Quantum Models	Quantum memory advantages for modelling complex dynamics
Quantum Processes	Learning in Continuously-Monitored and Repeatedly-Interacting Quantum Systems
Quantum Simulation	Quantum memory advantages for modelling complex dynamics
Quantum Stochastic Modelkling	An Efficient Quantum Algorithm for Discovering Rare Events of Stochastic Processes
Quantum Stochastic Processes	Fundamental limits on quantum prediction
Quantum-classical collaborative optimization	Dead Gate Elimination
Quantum-classical integration	Dead Gate Elimination
QUBO	Modeling the Cyclic Bandwidth Problem in QUBO for Quantum Annealing
R
radiowave propagation	Neural parabolic wave equation for refractivity estimation
Random forests	Unified and Diverse Coalition Formation in Dispersed Data Classification -- A Conflict Analysis Approach with Weighted Decision Trees
Random selection of collocation points	Physics Informed Neural Networks for Non-Stationary Material Science Problems
randomized networks	Towards Novel Migration Topologies for Parallel Evolutionary Algorithms
RBM	Hyperspectral image segmentation with a machine learning model trained using quantum annealer
RCBRT	On floating point approximation of the reciprocal cube root function
RDMA	A fast MPI-based Distributed Hash-Table as Surrogate Model for HPC Applications
Real Atmosphere Experiment	Comparative Analysis of Black-Box Optimization Methods for Weather Intervention Design
Real-time Engagement	Microscopic Binary Engagement Model
real-time inference	Fast prediction of job execution times in the ALICE Grid through GPU-Based Inference with Quantization and Sparsity Techniques
recoded	Low Latency Recoding CORDIC Algorithm for FPGA Implementation
Recurrent Quantum Circuits	Fundamental limits on quantum prediction
Recursive Function	Accelerated Approximation of Bellman Equation Solutions for Agent Policy Optimization with a Feedforward Neural Network
Recursive Refactoring	From Recursion to Parallelism: Plug & Play Dynamic Programming
Redox flow batteries	Massively Parallel Computational Modeling of Porous Electrode Formation and Performance via Non-Solvent Induced Phase Separation for Redox Flow Batteries
Reduced-order modelling	Cluster-based Reduced-order Modelling and Control for Chaotic Systems with Extreme Events
Regularized PIES	Regularization Algorithm for Eliminating Singularities in the PIES Formula for 3D Multidomain Orthotropic Problems
Reinforcement learning	Bus Loop Scheduling with Dueling Double Deep Q Network Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows
Remote Sensing	Remote Sensing AI for Crop Planting in Wildfire Fuel Mapping
Renewable energy sources assessment	Using SSP-VIKOR in Sustainable Share of Renewable Energy Sources Assessment
reputation	Socio-cognitive agent-oriented evolutionary algorithm with trust-based optimization
Reservoir Optimization	Uncertainty-Aware Well Placement: Simulator-Verified Dual-Network Reinforcement Learning Approach meets Particle Filters
residual connections with matrix extensions	Dynamic neural network with matrix-extended residual connections
Resolution characteristics	Fourier Error Analysis of Caputo Derivative Approximations based on Lagrange Interpolation over Uniform Mesh
Resource Optimization	A customizable Agent-Based Simulation Framework for Emergency Departments
Retrieval Augmented Generation	Improving project-level code generation using combined relevant context CiteVerifier: How Good Are Citation Verifiers and How to Use Them?
Retrieval-Augmented Generation	PoliChat: Retrieval Augmented Generation on University Documents and Regulations
retrieval-augmented generation (RAG)	From Statement of Facts to Statutory Provisions – Efficient Retrieval of Relevant Legislation AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs
RNA-seq analysis	BioSkel - Towards a framework for OMICS applications
Robust Variational Physics Informed Neural Network	Tensorial Implementation for Robust Variational Physics-Informed Neural Networks
Robustness	A test space refinement strategy for Robust Variational Physics-Informed Neural Networks Robust, Efficient, and Long-Time Accurate Schemes to Simulate Gas Storage in Geological Formation
Rockburst forecasting	Rockburst Forecasting using Composite Modeling for Seismic Sensors Data
Root Cause Analysis	AIOps for Reliability: Evaluating Large Language Models for Automated Root Cause Analysis in Chaos Engineering
Rough set theory	Integrating Conflict Analysis and Rule-Based Systems for Dispersed Data Classification
Routing	A Hybrid Q-LA approach to routing in Wireless Sensor Networks A novel routing algorithm for optical networks based on ML methods
S
Safety distance	Study on consequences and safety distance for leakage and explosion in pipelines of hydrogen-blended natural gas stations
SARS-CoV-2	A Computational Immune Approach for Modeling Different Levels of Severity in COVID-19 Infections
sea ice concentration	Understanding the Limitations of Deep Transformer Models for Sea Ice Forecasting
Security protocol analysis	Formal Security Analysis of the Authentication Protocol in Smart Cities using AVISPA
SEIR models	Predicting disease transmission rates for hybrid modeling of epidemic outbreaks: statistical and machine learning approaches
self-adjoint operators	Verified Eigenvalue Calculation for the Laplace Operator
self-changing neural networks	Dynamic neural network with matrix-extended residual connections
sensitivity analysis	Towards sensitivity analysis: 3D venous modelling in the lower limb Global Sensitivity Analysis for a Mathematical Model of General Escape Theory of Suicide
Sensors	Turn Detection in Alpine Skiing Using Smartphone Sensors
Sentiment	Predicting stock prices with ChatGPT-annotated Reddit sentiment: Hype or reality?
shrinking	Dynamic neural network with matrix-extended residual connections
Signal processing	Turn Detection in Alpine Skiing Using Smartphone Sensors
Silicosis Data	A Fractional Computation Based Deep Learning Framework for Silicosis Detection
Simulated Annealing	Exact and approximate methods for solving the edge-strength problem
simulation	Preliminary comparison of different EDs performance, using Simulation Adaptive Modular Housing Design for Crisis Situations
simulation verification and validation	Reversed Model Verification by Inferring Conceptual Models from Simulation Code
simulation-based inference	Simulation-based inference in agent-based models using spatio-temporal summary statistics
Single-cell analysis	Microfluidic Digital Twin for Enhanced Single-Cell Analysis
single-precision	On floating point approximation of the reciprocal cube root function
Singular Boundary Integrals	Regularization Algorithm for Eliminating Singularities in the PIES Formula for 3D Multidomain Orthotropic Problems
Singular solutions	Using B-spline function properties in the PIES method to handle singularities in boundary value problems
Skiing	Turn Detection in Alpine Skiing Using Smartphone Sensors
Small system method	Application of molecular dynamics and cDFT for gas adsorption
Smart Agriculture	A Connectionist Approach to Federated Digital Twins
Sobol Sensitivity Indices	Global Sensitivity Analysis for a Mathematical Model of General Escape Theory of Suicide
Social media	Predicting stock prices with ChatGPT-annotated Reddit sentiment: Hype or reality? Unraveling the Complex Interactions of Human Well-Being with the Dynamics of Techno-Social Systems
Social Networks	Evolutionary game selection leads to emergent Inequality
socio-cognitive computing	Socio-cognitive agent-oriented evolutionary algorithm with trust-based optimization
software	On the status of current quantum machine learning software
Solidification	An Iterative Scheme for the Solidification and Macro-segregation Benchmark Modeling
Space mission data	Adaptive PCA-Based Outlier Detection for Multi-Feature Time Series in Space Missions
space-filling designs	Covering the online spectrum of opinion in social context: the benefit of network node sampling through an Italian case study
spatial discretization	Robust, Efficient, and Long-Time Accurate Schemes to Simulate Gas Storage in Geological Formation
Spatial scales	Exploring the effect of spatial scales in studying urban mobility pattern
Spatial-Temporal Representation	Joint Spatial-Temporal Representation for Host Intrusion Detection System
spatio-temporal data	Understanding the Limitations of Deep Transformer Models for Sea Ice Forecasting
speech analysis	Automatic Help Summoning through Speech Analysis on Mobile Devices
Spline Interpolation	Asymptotics in Curve Estimation by Modified Cubic Spline and Exponential Parameterization
SPOTIS	Incorporating Performance Ordering in MCDA: A Study of the Frobenius SPOTIS Method
SSP-VIKOR	Using SSP-VIKOR in Sustainable Share of Renewable Energy Sources Assessment
standard	Preliminary comparison of different EDs performance, using Simulation
STAR	Accelerating Cloud-Based Transcriptomics: Performance Analysis and Optimization of the STAR Aligner Workflow
Static analysis	Optimization Framework for Reducing Mid-circuit Measurements and Resets
Statistical Learning Theory	Learning, Compression and Quantum Information Learning in Continuously-Monitored and Repeatedly-Interacting Quantum Systems
statistical models	Predicting disease transmission rates for hybrid modeling of epidemic outbreaks: statistical and machine learning approaches
Stdexec	Accelerating LBM with C++ STL Asynchronous Parallel Model
Stochastic Modelling	Memory-minimal quantum generation of stochastic processes: spectral invariants of quantum hidden Markov models
Stock market	Predicting stock prices with ChatGPT-annotated Reddit sentiment: Hype or reality?
Stokes equations	A mixed finite element projection method for unsteady incompressible flow
Storage	From the synaptome to the connectome: data bigness estimation for the human connectome at the nanoscale
Strong sustainability paradigm	Strong Sustainability Paradigm in TOPSIS Method: New Approach to Wind Farm Selection Problem Using SSP-VIKOR in Sustainable Share of Renewable Energy Sources Assessment
Structural information	Hierarchical Structural Information -- Theory and Applications
Subdomains	Regularization Algorithm for Eliminating Singularities in the PIES Formula for 3D Multidomain Orthotropic Problems
Subsurface Reservoir Optimization	Model-Based Reinforcement Learning for Efficient Active Flow Control
super resolution	Accelerating Super-Resolution Magnetic Resonance Imaging Using Toeplitz k-Space Matrices and Deep Learning Reconstruction
super-resolution	Improving Object Detection Quality in Football Through Super-Resolution Techniques
Support vector machine	Quantum-Classical Dual Kernel SVMs for Power Quality Classification
Surrogate Model	Discover the Tractable Latent Space of Floating Offshore Wind Turbine based on a Novel GNN-Encoder-Decoder-LSTM Deep Learning Architecture A fast MPI-based Distributed Hash-Table as Surrogate Model for HPC Applications Accelerated Approximation of Bellman Equation Solutions for Agent Policy Optimization with a Feedforward Neural Network
Surrogate modeling	MinRNNs for Lagrangian-Based Simulations of Transient Flow Problems
survival fractions	Modeling Firm Birth and Death Dynamics using Survival Fractions and Age Distributions
Sustainable Decision-Making	Strong Sustainability Paradigm in TOPSIS Method: New Approach to Wind Farm Selection Problem
swarm intelligence	Bat Algorithm for Automatic Chaos Control Method Driven by Multiplicative Pulses to the System Variables on the Logistic Map
Sybil attack	Formal Security Analysis of the Authentication Protocol in Smart Cities using AVISPA
Symbolic Regression	Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression Cross-Scale Modeling of Healthcare Norms and Patient Features Dynamics with Interpretable Machine Learning
Synaptome	From the synaptome to the connectome: data bigness estimation for the human connectome at the nanoscale
synthetic population	Lightweight heterogeneous SEIR models for epidemic surveillance in Russian cities: turning synthetic populations into equations
T
T1-weighted magnetic resonance	EXPBrain: Exponential Integrators for Glioblastoma Brain Tumor Simulations
table constraint	Modeling the Cyclic Bandwidth Problem in QUBO for Quantum Annealing
Tabular data	To select or not to select? The role of meta-features selection in meta-learning tasks with tabular data
Temperature	Transferability of UNet-Based Downscaling Model for High-Resolution Temperature Data Across Diverse Regions
temporal discretization	Robust, Efficient, and Long-Time Accurate Schemes to Simulate Gas Storage in Geological Formation
temporal graph	Predicting future collaborations in a scientific community using graph neural networks
Temporal learning	MinRNNs for Lagrangian-Based Simulations of Transient Flow Problems
Temporal Network	A Multilayer and temporal network for studying the connections of cross-listed stocks
Thermodynamically Consistent model	A Thermodynamically Consistent Model for Fluid-Solid Coupling in Fractured Porous Elastic Media with Strongly Compressible Fluid Flow
Thermostability	Enzyme Stability Prediction: Advancing with Ensemble Machine Learning and Explainable Artificial Intelligence
three-dimensional variational data assimilation	Latent Three-dimensional Variational Data Assimilation with Convolutional Autoencoder and LSTM for Flood Forecasting
time	Time and energy consumption of multithreaded matrix factorization using various compilers optimizations
Time series forecasting	Rockburst Forecasting using Composite Modeling for Seismic Sensors Data
Time-dependent convection-diffusion problems	{\tt DarcyLite} Modules for Property-preserving Transport Solvers
Tissue deformation	A Computational Framework for Modelling Biomechanical Tumour Dynamics and Tissue Interactions: A Proof-of-Concept in Pleural Mesothelioma
Tissue engineering	Development of a pH-Responsive Bio-robotics for Targeted Drug Delivery to Lung Cancer in the Vascular System
TOPSIS	Strong Sustainability Paradigm in TOPSIS Method: New Approach to Wind Farm Selection Problem
Tractable Latent Space	Discover the Tractable Latent Space of Floating Offshore Wind Turbine based on a Novel GNN-Encoder-Decoder-LSTM Deep Learning Architecture
training	Dynamic neural network with matrix-extended residual connections
transactions	A Dynamic Model of Customers Behavior: Integrating Econophysics and Physics-Informed Neural Networks
transcendental functions	On floating point approximation of the reciprocal cube root function
Transcriptomics	Accelerating Cloud-Based Transcriptomics: Performance Analysis and Optimization of the STAR Aligner Workflow
Transcriptomics application	BioSkel - Towards a framework for OMICS applications
Transfer learning	Advancing Bird Species Classification: A Fusion of Audio and Image Data Transferability of UNet-Based Downscaling Model for High-Resolution Temperature Data Across Diverse Regions
transformers	Understanding the Limitations of Deep Transformer Models for Sea Ice Forecasting
Transient analysis	Modelling the Transient Evolution of Queues in Plugged-in Electric Vehicles(PEV) Fast Charging Stations
Transient linear elasticity	Physics Informed Neural Networks for Non-Stationary Material Science Problems
Transmission Risk	Estimating Airborne Transmission Risk for Indoor Space: Coupling Agent-based Model and Computational Fluid Dynamics
Transport phenomena	Massively Parallel Computational Modeling of Porous Electrode Formation and Performance via Non-Solvent Induced Phase Separation for Redox Flow Batteries
trust	Socio-cognitive agent-oriented evolutionary algorithm with trust-based optimization
Trustworthy ML	Proof of Training: Obtaining Verifiable ML Models by Delegating Training to a Blockchain Network
tumor angiogenesis	First Experiences on Exploiting Physics-Informed Neural Networks for Approximating Solutions of a Biological model
Tumor biomechanics	A Computational Framework for Modelling Biomechanical Tumour Dynamics and Tissue Interactions: A Proof-of-Concept in Pleural Mesothelioma
Tumor growth simulations	Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab
U
Ultrasound Simulation	Accelerating Two-Dimensional k-Wave Ultrasound Simulations Through Pruned FFT: A Treatment Planning Optimisation
Uncertainty Modeling	Uncertainty-Aware Well Placement: Simulator-Verified Dual-Network Reinforcement Learning Approach meets Particle Filters
Uncertainty Quantification	Uncertainty Quantification of Thermal Damage in Hyperthermia as a Cancer Therapy Global Sensitivity Analysis for a Mathematical Model of General Escape Theory of Suicide Uncertainties in Modeling Psychological Symptom Networks: the case of Suicide
Uncertainty theory	An Algorithm for Calculating the Multidimensional Solution of the Fuzzy Sylvester Matrix Equation Multidimensional granular approach to solving fuzzy complex system of linear equations
Unconditionally energy stable	An Unconditionally Stable Split-Parallel Algorithm for the Coupled Stokes-Parabolic System Based on the Three-Field Biot Model
underwater acoustics	Neural parabolic wave equation for refractivity estimation
UNet	Transferability of UNet-Based Downscaling Model for High-Resolution Temperature Data Across Diverse Regions
unstructured finite-element method	Large-scale nonlinear viscoelastic simulation for crustal deformation accelerated by data-driven method and multi-grid solver
Upwinding	{\tt DarcyLite} Modules for Property-preserving Transport Solvers
Urban mobility pattern	Exploring the effect of spatial scales in studying urban mobility pattern
Urban modelling	Exploring the effect of spatial scales in studying urban mobility pattern
V
variational quantum algorithm	Classification of the Polish Handwritten Letters by the use of Quantum Convolutional Neural Network
Vehicular Ad-hoc Networks	Formal Security Analysis of the Authentication Protocol in Smart Cities using AVISPA
venous modelling	Towards sensitivity analysis: 3D venous modelling in the lower limb
Visual Analytics	Making Astrometric Solver Tractable through In-Situ Visual Analytics
W
Warm Bubble Experiment	Comparative Analysis of Black-Box Optimization Methods for Weather Intervention Design
Wasserstein distance	Dataset Distillation via Kantorovich-Rubinstein Dual of Wasserstein Distance
Wave propagation simulation	Accelerating Two-Dimensional k-Wave Ultrasound Simulations Through Pruned FFT: A Treatment Planning Optimisation
Weight-space models	Towards weight-space interpretation of Low-Rank Adapters for Diffusion Models
Weighted Method	Unified and Diverse Coalition Formation in Dispersed Data Classification -- A Conflict Analysis Approach with Weighted Decision Trees
weighted metric	Dimensionality reduction in product of metric spaces
WFC algorithm	Adaptive Modular Housing Design for Crisis Situations
White Blood Cell Classification	Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting
Wildfire	Remote Sensing AI for Crop Planting in Wildfire Fuel Mapping
Wildfire Modeling	Actionable Fire Modeling in Firemap for Extended Attack Decision Support
Wireless sensor networks	A Hybrid Q-LA approach to routing in Wireless Sensor Networks
Workflows	Actionable Fire Modeling in Firemap for Extended Attack Decision Support
WZ factorization	Time and energy consumption of multithreaded matrix factorization using various compilers optimizations
X
XAI	Precise Language Deception: XAI Driven Targeted Adversarial Examples with Restricted Knowledge
Y
YOLOv8	Automatic Detection and Segmentation of Coronary Artery Stenosis in Coronary Angiography Images
Z
Zero-Shot	An Empirical Assessment of LLM-Based Approaches to Malicious Webpage Detection

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