東華大學圖書館 |

Computational science - ICCS 2025 Workshops = 25th International Conference, Singapore, Singapore, July 7-9, 2025 : proceedings.. Part I /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational science - ICCS 2025 Workshops/ edited by Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang.
其他題名:	25th International Conference, Singapore, Singapore, July 7-9, 2025 : proceedings.
其他題名:	ICCS 2025 Workshops
其他作者:	Paszynski, Maciej.
團體作者:	International Conference on Computational Science
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xxvi, 450 p. :ill. (some col.), digital ;24 cm.
內容註:	Advances in High-Performance Computational Earth Sciences: Numerical Methods, Frameworks & Applications -- Large-scale Nonlinear Viscoelastic Simulation for Crustal Deformation Accelerated by Data-driven Method and Multi-grid Solver -- Artificial Intelligence Approaches for Network Analysis -- Informing the Neural Network Activation Function with Graph Centrality Measures: The Case Study of Oscillating Chemical Reaction Simulation -- A Novel Routing Algorithm for Optical Networks Based on ML Methods -- Decision Trees and Machine Learning for Cybersecurity: How Model Settings Affect Attack Detection -- Covering the Online Spectrum of Opinion in Social Context: The Benefit of Network Node Sampling Through an Italian Case Study -- A Multilayer and Temporal Network for Studying the Connections of Cross-listed Stocks -- A Machine Learning-based Framework for Predicting Candidate Drug Side Effects from Biological Networks -- Artificial Intelligence and High-Performance Computing for Advanced Simulations -- Introducing B-spline Basis Functions in Neural Network Approximations -- Augmenting Petrov-Galerkin Method with Optimal Test Functions by DNN Learning the Inverse of the Gram Matrix -- EXPBrain: Exponential Integrators for Glioblastoma Brain Tumor Simulations -- Influence of Mixed Precision on Performance and Accuracy of DNN Training for AI-Accelerated CFD Simulations on NVIDIA Multi-GPU System -- Performance-energy Investigation of Selected Applications using a Parallel Multi-GPU Genetic Algorithm under Power Capping -- Discrete Residual Loss Functions for Training Physics-Informed Neural Networks -- Uncertainty-Aware Well Placement: Simulator-Verified Dual-Network Reinforcement Learning Approach meets Particle Filters -- Sequential, Parallel and Consecutive Hybrid Evolutionary-swarm Optimization Metaheuristics -- Graph Grammar Model for h-adaptation for Meshes with Quadrilateral, Pentagon, and Hexagon Elements -- MinRNNs for Lagrangian-Based Simulations of Transient Flow Problems -- Socio-cognitive Agent-oriented Evolutionary Algorithm with Trust-based Optimization -- Structural Limiting Range of Perception in PSO -- Towards Novel Migration Topologies for Parallel Evolutionary Algorithms -- Biomedical and Bioinformatics Challenges for Computer Science -- From the Synaptome to the Connectome: Data Bigness Estimation for the Human Connectome at the Nanoscale -- Enzyme Stability Prediction: Advancing with Ensemble Machine Learning and Explainable Artificial Intelligence -- MTL-FECAM: Bridging the stability-plasticity tradeoff in Exemplar-free Continual Learning -- Development of a pH-Responsive Bio-robotics for Targeted Drug Delivery to Lung Cancer in the Vascular System -- Accelerating Super-Resolution Magnetic Resonance Imaging Using Toeplitz k-Space Matrices and Deep Learning Reconstruction -- Logistic Regression with Covariate Clustering in Genome-wide Association Interaction Studies -- Predicting Antibody Responses to Type V GBS-TT Conjugate Vaccine Using Computational Modelling -- A Computational Immune Approach for Modeling Different Levels of Severity in COVID-19 Infections -- Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting -- BioSkel - Towards a Framework for OMICS Applications -- Uncertainty Quantification of Thermal Damage in Hyperthermia as a Cancer Therapy -- Bias in Dermatological Datasets: A Critical Analysis of the Underrepresentation of Dark Skin Tones in Melanoma Classification Images.
Contained By:	Springer Nature eBook
標題:	Computer science - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-97554-7
ISBN:	9783031975547

Computational science - ICCS 2025 Workshops = 25th International Conference, Singapore, Singapore, July 7-9, 2025 : proceedings.. Part I /
Computational science - ICCS 2025 Workshops25th International Conference, Singapore, Singapore, July 7-9, 2025 : proceedings.Part I /[electronic resource] :ICCS 2025 Workshopsedited by Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang. - Cham :Springer Nature Switzerland :2025. - xxvi, 450 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,159071611-3349 ;. - Lecture notes in computer science ;15907..

Advances in High-Performance Computational Earth Sciences: Numerical Methods, Frameworks & Applications -- Large-scale Nonlinear Viscoelastic Simulation for Crustal Deformation Accelerated by Data-driven Method and Multi-grid Solver -- Artificial Intelligence Approaches for Network Analysis -- Informing the Neural Network Activation Function with Graph Centrality Measures: The Case Study of Oscillating Chemical Reaction Simulation -- A Novel Routing Algorithm for Optical Networks Based on ML Methods -- Decision Trees and Machine Learning for Cybersecurity: How Model Settings Affect Attack Detection -- Covering the Online Spectrum of Opinion in Social Context: The Benefit of Network Node Sampling Through an Italian Case Study -- A Multilayer and Temporal Network for Studying the Connections of Cross-listed Stocks -- A Machine Learning-based Framework for Predicting Candidate Drug Side Effects from Biological Networks -- Artificial Intelligence and High-Performance Computing for Advanced Simulations -- Introducing B-spline Basis Functions in Neural Network Approximations -- Augmenting Petrov-Galerkin Method with Optimal Test Functions by DNN Learning the Inverse of the Gram Matrix -- EXPBrain: Exponential Integrators for Glioblastoma Brain Tumor Simulations -- Influence of Mixed Precision on Performance and Accuracy of DNN Training for AI-Accelerated CFD Simulations on NVIDIA Multi-GPU System -- Performance-energy Investigation of Selected Applications using a Parallel Multi-GPU Genetic Algorithm under Power Capping -- Discrete Residual Loss Functions for Training Physics-Informed Neural Networks -- Uncertainty-Aware Well Placement: Simulator-Verified Dual-Network Reinforcement Learning Approach meets Particle Filters -- Sequential, Parallel and Consecutive Hybrid Evolutionary-swarm Optimization Metaheuristics -- Graph Grammar Model for h-adaptation for Meshes with Quadrilateral, Pentagon, and Hexagon Elements -- MinRNNs for Lagrangian-Based Simulations of Transient Flow Problems -- Socio-cognitive Agent-oriented Evolutionary Algorithm with Trust-based Optimization -- Structural Limiting Range of Perception in PSO -- Towards Novel Migration Topologies for Parallel Evolutionary Algorithms -- Biomedical and Bioinformatics Challenges for Computer Science -- From the Synaptome to the Connectome: Data Bigness Estimation for the Human Connectome at the Nanoscale -- Enzyme Stability Prediction: Advancing with Ensemble Machine Learning and Explainable Artificial Intelligence -- MTL-FECAM: Bridging the stability-plasticity tradeoff in Exemplar-free Continual Learning -- Development of a pH-Responsive Bio-robotics for Targeted Drug Delivery to Lung Cancer in the Vascular System -- Accelerating Super-Resolution Magnetic Resonance Imaging Using Toeplitz k-Space Matrices and Deep Learning Reconstruction -- Logistic Regression with Covariate Clustering in Genome-wide Association Interaction Studies -- Predicting Antibody Responses to Type V GBS-TT Conjugate Vaccine Using Computational Modelling -- A Computational Immune Approach for Modeling Different Levels of Severity in COVID-19 Infections -- Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting -- BioSkel - Towards a Framework for OMICS Applications -- Uncertainty Quantification of Thermal Damage in Hyperthermia as a Cancer Therapy -- Bias in Dermatological Datasets: A Critical Analysis of the Underrepresentation of Dark Skin Tones in Melanoma Classification Images.

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.

ISBN: 9783031975547

Standard No.: 10.1007/978-3-031-97554-7doiSubjects--Topical Terms:

606819
Computer science
--Congresses.

LC Class. No.: QA75.5

Dewey Class. No.: 004

Computational science - ICCS 2025 Workshops = 25th International Conference, Singapore, Singapore, July 7-9, 2025 : proceedings.. Part I /
LDR:06510nmm a2200349 a 4500 001 2413738
003 DE-He213
005 20250712074738.0
006 m d
007 cr nn 008maaau
008 260205s2025 sz s 0 eng d
020 $a 9783031975547 $q (electronic bk.)
020 $a 9783031975530 $q (paper)
024 7 $a 10.1007/978-3-031-97554-7 $2 doi
035 $a 978-3-031-97554-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA75.5
072 7 $a UYA $2 bicssc
072 7 $a COM014000 $2 bisacsh
072 7 $a UYA $2 thema
082 0 4 $a 004 $2 23
090 $a QA75.5 $b .I61 2025
111 2 $a International Conference on Computational Science $n (25th : $d 2025 : $c Singapore, Singapore) $3 3789396
245 1 0 $a Computational science - ICCS 2025 Workshops $h [electronic resource] : $b 25th International Conference, Singapore, Singapore, July 7-9, 2025 : proceedings. $n Part I / $c edited by Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang.
246 3 $a ICCS 2025 Workshops
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xxvi, 450 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 1611-3349 ; $v 15907
505 0 $a Advances in High-Performance Computational Earth Sciences: Numerical Methods, Frameworks & Applications -- Large-scale Nonlinear Viscoelastic Simulation for Crustal Deformation Accelerated by Data-driven Method and Multi-grid Solver -- Artificial Intelligence Approaches for Network Analysis -- Informing the Neural Network Activation Function with Graph Centrality Measures: The Case Study of Oscillating Chemical Reaction Simulation -- A Novel Routing Algorithm for Optical Networks Based on ML Methods -- Decision Trees and Machine Learning for Cybersecurity: How Model Settings Affect Attack Detection -- Covering the Online Spectrum of Opinion in Social Context: The Benefit of Network Node Sampling Through an Italian Case Study -- A Multilayer and Temporal Network for Studying the Connections of Cross-listed Stocks -- A Machine Learning-based Framework for Predicting Candidate Drug Side Effects from Biological Networks -- Artificial Intelligence and High-Performance Computing for Advanced Simulations -- Introducing B-spline Basis Functions in Neural Network Approximations -- Augmenting Petrov-Galerkin Method with Optimal Test Functions by DNN Learning the Inverse of the Gram Matrix -- EXPBrain: Exponential Integrators for Glioblastoma Brain Tumor Simulations -- Influence of Mixed Precision on Performance and Accuracy of DNN Training for AI-Accelerated CFD Simulations on NVIDIA Multi-GPU System -- Performance-energy Investigation of Selected Applications using a Parallel Multi-GPU Genetic Algorithm under Power Capping -- Discrete Residual Loss Functions for Training Physics-Informed Neural Networks -- Uncertainty-Aware Well Placement: Simulator-Verified Dual-Network Reinforcement Learning Approach meets Particle Filters -- Sequential, Parallel and Consecutive Hybrid Evolutionary-swarm Optimization Metaheuristics -- Graph Grammar Model for h-adaptation for Meshes with Quadrilateral, Pentagon, and Hexagon Elements -- MinRNNs for Lagrangian-Based Simulations of Transient Flow Problems -- Socio-cognitive Agent-oriented Evolutionary Algorithm with Trust-based Optimization -- Structural Limiting Range of Perception in PSO -- Towards Novel Migration Topologies for Parallel Evolutionary Algorithms -- Biomedical and Bioinformatics Challenges for Computer Science -- From the Synaptome to the Connectome: Data Bigness Estimation for the Human Connectome at the Nanoscale -- Enzyme Stability Prediction: Advancing with Ensemble Machine Learning and Explainable Artificial Intelligence -- MTL-FECAM: Bridging the stability-plasticity tradeoff in Exemplar-free Continual Learning -- Development of a pH-Responsive Bio-robotics for Targeted Drug Delivery to Lung Cancer in the Vascular System -- Accelerating Super-Resolution Magnetic Resonance Imaging Using Toeplitz k-Space Matrices and Deep Learning Reconstruction -- Logistic Regression with Covariate Clustering in Genome-wide Association Interaction Studies -- Predicting Antibody Responses to Type V GBS-TT Conjugate Vaccine Using Computational Modelling -- A Computational Immune Approach for Modeling Different Levels of Severity in COVID-19 Infections -- Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting -- BioSkel - Towards a Framework for OMICS Applications -- Uncertainty Quantification of Thermal Damage in Hyperthermia as a Cancer Therapy -- Bias in Dermatological Datasets: A Critical Analysis of the Underrepresentation of Dark Skin Tones in Melanoma Classification Images.
520 $a 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.
650 0 $a Computer science $v Congresses. $3 606819
650 0 $a Computational complexity $v Congresses. $3 628000
650 1 4 $a Theory of Computation. $3 892514
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Computer Engineering and Networks. $3 3538504
650 2 4 $a Software Engineering. $3 890874
650 2 4 $a Mathematics of Computing. $3 891213
700 1 $a Paszynski, Maciej. $3 3505148
700 1 $a Barnard, Amanda S. $3 3789406
700 1 $a Zhang, Yongjie Jessica. $3 2072453
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 15907. $3 3789992
856 4 0 $u https://doi.org/10.1007/978-3-031-97554-7
950 $a Computer Science (SpringerNature-11645)