Computational Science - ICCS 2025 Workshops

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.