The 6-volume set constitutes the workshop proceedings of the 25th International Conference on Computational Science, ICCS 2025, which took place in Singapore, Singapore, during July 7-9, 2025.
The 137 full papers and 32 short papers presented in these proceedings were carefully reviewed and selected from 322 submissions. The papers are organized in the following topical sections:
Volume I:
Advances in high-performance computational earth sciences: numerical methods, frameworks & applications; artificial intelligence approaches for network analysis; artificial intelligence and high-performance computing for advanced simulations; and biomedical and bioinformatics challenges for computer science.
Volume II:
Computational health; computational modeling and artificial intelligence for social systems; and computational optimization, modelling and simulation.
Volume III:
Computational science and AI for addressing complex and dynamic societal challenges equitably; computer graphics, image processing and artificial intelligence; computing and data science for materials discovery and design; and large language models and intelligent decision-making within the digital economy.
Volume IV:
Machine learning and data assimilation for dynamical systems; and multi-criteria decision-making: methods, applications, and innovations.
Volume V:
(Credible) Multiscale modelling and simulation; numerical algorithms and computer arithmetic for computational science; quantum computing; retrieval-augmented generation; and simulations of flow and transport: modeling, algorithms and computation.
Volume VI:
Smart systems: bringing together computer vision, sensor networks and artificial intelligence; solving problems with uncertainty; and teaching computational science.
Table of Contents:
Computational Health.- Simulation of Blood Flow in the Left Ventricle Considering Purkinje Fibers.- ViT-SE_Res: A Hybrid Vision Transformer and ResNet50V2 with Squeeze-and-Excitation Block for Cervical Cell Classification.- MedCT: A Clinical Terminology Graph for Generative AI Applications in Healthcare.- A Fractional Computation Based Deep Learning Framework for Silicosis Detection.- Combining XAI and Graph Cuts for Skin-lesion Segmentation.- Accelerating Two-Dimensional k-Wave Ultrasound Simulations Through Pruned FFT: A Treatment Planning Optimisation.- A Computational Framework for Modelling Biomechanical Tumour Dynamics and Tissue Interactions: A Proof-of-Concept in Pleural Mesothelioma.- Towards Sensitivity Analysis: 3D Venous Modelling in the Lower Limb.- Cross-Scale Modeling of Healthcare Norms and Patient Features Dynamics with Interpretable Machine Learning.- Automatic Detection and Segmentation of Coronary Artery Stenosis in Coronary Angiography Images.- Explainable Artificial Intelligence for Clinicians Decision Support in Diagnosing Spinal Pathologies.- Predicting Disease Transmission Rates for Hybrid Modeling of Epidemic Outbreaks: Statistical and Machine Learning Approaches.- Lightweight Heterogeneous SEIR Models for Epidemic Surveillance in Russian Cities: Turning Synthetic Populations into Equations.- Is Health Systems Sustainability Measurable? - Operationalizing SDG Targets using SSP-TOPSIS Approach.- Computational Modeling and Artificial Intelligence for Social Systems.- Automatic Detection and Identification of Causal Relationships in Polish Legal Texts.- A Parameter-free Model for the Online Spread of Far-right Messages: Combining Agent-Based Models with Large-Language Models.- Accelerated Approximation of Bellman Equation Solutions: Agent Policy Optimization with a Feedforward Neural Network.- Simulation-based Inference in Agent-based Models using Spatio-temporal Summary Statistics.- Emergent Communication in Merging Artificial Agent Populations.- MAVS: An Ensemble-Based Multi-Agent Framework for Fake News Detection.- Evolutionary Game Selection Leads to Emergent Inequality.- Computational Optimization, Modelling and Simulation.- Enhancing Gaussian Mixture Model Fitting via Equiprobable Binning and Adaptive Differential Evolution.- Asymptotics in Curve Estimation by Modified Cubic Spline and Exponential Parameterization.- Physics Informed Neural Networks for Non Stationary Material Science Problems.- Adaptive Global Modeling using Neural Networks with Deep Ensembles and Space-filling Sequences.- Automated Antenna Design Using Computational Intelligence and Numerical Optimization.- Near-Optimal Mixed Partial Replications versus Uniform Replication.- Hybrid Subgradient and Simulated Annealing Method for Hemivariational Inequalities.- Reduced-Order Modeling of Compressible Flows Using Supervised Dimensionality Reduction.- Exact and Approximate Methods for Solving the Edge-strength Problem.
