Full Description
The 6-volume set constitutes the worshop 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.
Contents
Machine Learning and Data Assimilation for Dynamical Systems.- Cluster-based Reduced-order Modelling and Control for Chaotic Systems with Extreme Events.- First Experiences on Exploiting Physics-Informed Neural Networks for Approximating Solutions of a Biological Model.- A Machine Learning System for Energy Forecasting with Feature Importance Analysis.- Latent Three-dimensional Variational Data Assimilation with Convolutional Autoencoder and LSTM for Flood Forecasting.- Online Model Learning with Data-assimilated Reservoir Computers.- Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows.- SHAP-prioritised Machine Learning for Diagnostic Grade Prediction of Lung Function.- Turn Detection in Alpine Skiing Using Smartphone Sensors.- Assimilation of Data for Dynamic Digital Twins by Learning Covariance Information.- Multi-Criteria Decision-Making: Methods, Applications, and Innovations.- Issues Importance Analysis for Reaching High-Quality Consensus in Preference-Based Conflict Scenarios.- Integrating Conflict Analysis and Rule-Based Systems for Dispersed Data Classification.- Multicriteria Framework for Digital Content Design and Evaluation in Cross-Generational Targeting.- Integrating Habituation Effects with UCB and Softmax Multi-Armed Bandit Algorithms for Optimized Digital Content Delivery.- Computational Risk Assessment in Water Distribution Network.- Preserving Informative Content of Condition Attributes in Data Transformations for CRSA.- Using SSP-VIKOR in Sustainable Share of Renewable Energy Sources Assessment.- Decision-Making of Homogeneous Multiple Classifiers Based on Attribute Characterisation by Discretisation.- New Multi-Criteria Approach to Sustainable Development Assessment.- Compromise Fuzzy Ranking: A Novel Method for Reaching Consensus in Complex Multi-criteria Decision Problems.- A New Approach to Large-scale Multi-criteria Group Decision-making Based on the RANCOM Method.- Towards Sustainable Decision Making: New Reference Point-Based MCDA Method.- An Adaptive RANCOM-ST Method for Bias Reduction using Statistical Thresholds.- Strong Sustainability Paradigm in TOPSIS Method: New Approach to Wind Farm Selection Problem.- Aspects of Implementing RPA in an IT Company.- Evaluating Sufficiency Practices for Sustainable Competitiveness using AHP-grey Analysis.- Actionable Fire Modeling in Firemap for Extended Attack Decision Support.- The Role of Preference Reidentification in MCDA: Comparing Weight-Based, Normalization, and Reference-Object Approaches.- Subjective Equal Criteria Influence Approach (SECIA): A Novel Extended Approach to Weights Determination.- Local Markovian Consensus for Ranking Aggregation: A Novel Approach to Consensus Ranking with Weak Ordinal Dominance.
