Computational Science – ICCS 2025 Workshops : 25th International Conference, Singapore, Singapore, July 7–9, 2025, Proceedings, Part II / edited by Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang.

Format:

Book

Author/Creator:

Paszynski, Maciej.

Contributor:

Barnard, A. S. (Amanda S.)

Zhang, Yongjie Jessica.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 15908

Language:

English

Subjects (All):

Computer science.

Artificial intelligence.

Computer engineering.

Computer networks.

Software engineering.

Computer science--Mathematics.

Theory of Computation.

Artificial Intelligence.

Computer Engineering and Networks.

Software Engineering.

Mathematics of Computing.

Local Subjects:

Theory of Computation.

Artificial Intelligence.

Computer Engineering and Networks.

Software Engineering.

Mathematics of Computing.

Physical Description:

1 online resource (669 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

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.

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-031-97557-X

OCLC:

1527722263