The 4-volume set LNCS constitutes the main proceedings of the 25th International Conference on Computational Science, ICCS 2025, which took place in Singapore, Singapore, during July 79, 2025.
The 64 full papers and 52 short papers presented in these proceedings were carefully reviewed and selected from 162 submissions. The ICCS 2025 main track full papers are organized in volumes 1590315905 (Parts I to III) and the ICCS 2025 main track short papers are included in volume 15906 (Part IV).
ICCS 2025 Main Track Short Papers.- A Method for Handling Negative
Similarities in Explainable Graph Spectral Clustering of Text Documents.-
Preliminary Comparison of Different EDs Performance, using Simulation.-
Efficient Peptide MRM Transition Prediction via Convolutional Hashing.-
Comparison of Crash Simulations on Two Types of Flying Cars.- Centrality
Resilience in Complex Networks.- A Customizable Agent-Based Simulation
Framework for Emergency Departments.- Leveraging Positional Bias of LLM
In-context Learning with Class-few-shot and Maj-Min Alternating Ordering.-
Remote Sensing AI for Crop Planting in Wildfire Fuel Mapping.- Regularization
Algorithm for Eliminating Singularities in the PIES Formula for 3D
Multidomain Orthotropic Problems.- Advancing Bird Species Classification: A
Fusion of Audio and Image Data.- Prototype-pairs Decomposition for Extracting
Simple and Meaningful Rules.- Fast Prediction of Job Execution Times in the
ALICE Grid Through GPU-Based Inference with Quantization and Sparsity
Techniques.- Reversible Data Hiding in Encrypted Images with Pixel Prediction
and ERLE Compression.- Information Flow Between Neighboring Housing Markets:
A Case from the Seoul Metropolitan Area.- A Bi-Stage Framework for Automatic
Development of Pixel-Based Planar Antenna Structures.- Investigation of CUDA
Graphs Performance for Selected Parallel Applications.- Instance Selection by
Fast Local Set Border Selector.- Modelling the Transient Evolution of Queues
in Plugged-in Electric Vehicles (PEV) Fast Charging Stations.- Is
Heterogeneous Model Soup Tasty? A Multidimensional Evaluation of Diverse
Model Soups in Language Model Alignment.- Performance Evaluation of IMS/NGN
Network with SDN-Based Transport Stratum.- Variable Resolution Machine
Learning for Rapid Multi-Criterial Antenna Design.- A Fast and Scalable
Genomic Data Compressor for Multicore Clusters.- Augmenting Ontologies with
Competency Questions and Distant Supervision.- Modeling Firm Birth and Death
Dynamics using Survival Fractions and Age Distributions.- Enhancing Sentiment
Analysis through Multimodal Fusion: A BERT-DINOv2 Approach.- Modeling
Parallel AI Applications for Performance Analysis on Cloud Environments.-
Simplified Swarm Learning Framework for Robust and Scalable Diagnostic
Services in Cancer Histopathology.- A Fast MPI-based Distributed Hash-Table
as Surrogate Model for HPC Applications.- Rockburst Forecasting using
Composite Modeling for Seismic Sensors Data.- Accelerating LBM with C++ STL
Asynchronous Parallel Model.- Accelerating Cloud-Based Transcriptomics:
Performance Analysis and Optimization of the STAR Aligner Workflow.- Adaptive
Modular Housing Design for Crisis Situations.- Evaluating Parameter-Based
Training Performance of Neural Networks and Variational Quantum Circuits.-
Towards an Open Science an Academic Recommendation Cloud Platform.-
Algorithm Selection in Short-Range Molecular Dynamics Simulations.- SOPMOA*:
Unleashing Shared-Open Parallelism for High-Performance Multi-Objective
Pathfinding.- From Recursion to Parallelism: Plug & Play Dynamic
Programming.- NeoN: A Tool for Automated Detection, Linguistic and
LLM-Driven Analysis of Neologisms in Polish.- Surrogate Models for Analyzing
Performance Behavior of HPC Applications Using RAJAPerf.- Cattle
Identification using 2D Mask Retention Network.- Scaling Dynamics of the
Electricity Utility Sector: Assessing the Role of Agglomeration Externalities
and Sensitivity to Population Cutoffs in Spatial Dynamics Across European
Regions.- Pollution Simulations and In-field Measurements Performed in March
at Longyearbyen, Spitsbergen.- Reversed Model Verification by Inferring
Conceptual Models from Simulation Code.- GPU-Accelerated Out-of-Core HMM
Inference with Concurrent CUDA Streams.- Predicting Future Collaborations in
A Scientific Community using Graph Neural Networks.- Data-Centric Parallel
Programming Abstractions for High Performance Computations.- Neural Network
for Evaluating the Operational Range of Antennas with Randomly Generated
Designs.- Optimizing U-Net Architecture Using Differential Evolution for
Brain Tumor Segmentation.- Simulation Modelling of Clinical Decision making
for Personalized Policy Identification.- Verified Eigenvalue Calculation for
the Laplace Operator.- A Hybrid Q-LA approach to routing in Wireless Sensor
Networks.- Improving Project-level Code Generation using Combined Relevant
Context.
