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

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:	xxv, 338 p. :ill. (some col.), digital ;24 cm.
內容註:	Computational Science and AI for Addressing Complex and Dynamic Societal Challenges Equitably -- Temporal-aware Social Bot Detection with Graph Contrastive Learning -- Bias or Justice? Analyzing LLM Sentencing Variability in Theft Indictments Across Gender, Ethnicity, and Education Factors -- Minimally Supervised Hierarchical Domain Intent Learning for CRS -- Computer Graphics, Image Processing and Artificial Intelligence -- A New Technique for Enhanced Monochrome Visualization of Non-Visual Data -- SupResDiffGAN a New Approach for the Super-Resolution Task -- Optimized Custom CNN for Real-Time Tomato Leaf Disease Detection -- ConvNeXt Fine-Tuning for Accurate Classification of 300 Cooking Ingredients -- Universal Deepfake Detection Across Various Image Generators Based on Data from Diffusion Models -- Hybrid Procedural Level Generation Using Wave Function Collapse and Genetic Algorithms -- Enhancing AI Face Realism: Cost-Efficient Quality Improvement in Distilled Diffusion Models with a Fully Synthetic Dataset -- Deep Learning Classification of Blackcurrant Genotypes by Ploidy Levels on Stomata Microscopic Images -- Advanced Graph-Based Object Segmentation in Large-Scale 3D Point Clouds -- BVH Trees of Many Dynamic Lights for Real-Time Ray Tracing -- Transferability of UNet-Based Downscaling Model for High-Resolution Temperature Data Across Diverse Regions -- Bayesianization of ML models in Forecasting Small Da-ta Sequences with Missing Values -- Enhancing Medical Image Analysis with Multi-Task Learning Using Visual Transformers -- Bat Algorithm for Automatic Chaos Control Method Driven by Multiplicative Pulses to the System Variables on the Logistic Map -- Computing and Data Science for Materials Discovery and Design -- Domain Specific Language for Materials Modeling -- Structural Response of Bijels Stabilized by Ellipsoidal Magnetic Particles -- Data-Driven Prediction of Glass Transition Temperature Using Molecular Structural Features -- Exploration and Learning Algorithms Used for Predicting Casting Properties -- Physics Informed Neural Networks for a Wigner-Fokker-Planck Model of Open Quantum Systems -- Large Language Models and Intelligent Decision-Making within the Digital Economy -- Dataset Distillation via Kantorovich-Rubinstein Dual of Wasserstein Distance -- Predicting Stock Prices with ChatGPT-annotated Reddit Sentiment: Hype or Reality?- AIOps for Reliability: Evaluating Large Language Models for Automated Root Cause Analysis in Chaos Engineering.
Contained By:	Springer Nature eBook
標題:	Computer science - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-97564-6
ISBN:	9783031975646

Computational science - ICCS 2025 Workshops = 25th International Conference, Singapore, Singapore, July 7-9, 2025 : proceedings.. Part III /
Computational science - ICCS 2025 Workshops25th International Conference, Singapore, Singapore, July 7-9, 2025 : proceedings.Part III /[electronic resource] :ICCS 2025 Workshopsedited by Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang. - Cham :Springer Nature Switzerland :2025. - xxv, 338 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,159091611-3349 ;. - Lecture notes in computer science ;15909..

Computational Science and AI for Addressing Complex and Dynamic Societal Challenges Equitably -- Temporal-aware Social Bot Detection with Graph Contrastive Learning -- Bias or Justice? Analyzing LLM Sentencing Variability in Theft Indictments Across Gender, Ethnicity, and Education Factors -- Minimally Supervised Hierarchical Domain Intent Learning for CRS -- Computer Graphics, Image Processing and Artificial Intelligence -- A New Technique for Enhanced Monochrome Visualization of Non-Visual Data -- SupResDiffGAN a New Approach for the Super-Resolution Task -- Optimized Custom CNN for Real-Time Tomato Leaf Disease Detection -- ConvNeXt Fine-Tuning for Accurate Classification of 300 Cooking Ingredients -- Universal Deepfake Detection Across Various Image Generators Based on Data from Diffusion Models -- Hybrid Procedural Level Generation Using Wave Function Collapse and Genetic Algorithms -- Enhancing AI Face Realism: Cost-Efficient Quality Improvement in Distilled Diffusion Models with a Fully Synthetic Dataset -- Deep Learning Classification of Blackcurrant Genotypes by Ploidy Levels on Stomata Microscopic Images -- Advanced Graph-Based Object Segmentation in Large-Scale 3D Point Clouds -- BVH Trees of Many Dynamic Lights for Real-Time Ray Tracing -- Transferability of UNet-Based Downscaling Model for High-Resolution Temperature Data Across Diverse Regions -- Bayesianization of ML models in Forecasting Small Da-ta Sequences with Missing Values -- Enhancing Medical Image Analysis with Multi-Task Learning Using Visual Transformers -- Bat Algorithm for Automatic Chaos Control Method Driven by Multiplicative Pulses to the System Variables on the Logistic Map -- Computing and Data Science for Materials Discovery and Design -- Domain Specific Language for Materials Modeling -- Structural Response of Bijels Stabilized by Ellipsoidal Magnetic Particles -- Data-Driven Prediction of Glass Transition Temperature Using Molecular Structural Features -- Exploration and Learning Algorithms Used for Predicting Casting Properties -- Physics Informed Neural Networks for a Wigner-Fokker-Planck Model of Open Quantum Systems -- Large Language Models and Intelligent Decision-Making within the Digital Economy -- Dataset Distillation via Kantorovich-Rubinstein Dual of Wasserstein Distance -- Predicting Stock Prices with ChatGPT-annotated Reddit Sentiment: Hype or Reality?- AIOps for Reliability: Evaluating Large Language Models for Automated Root Cause Analysis in Chaos Engineering.

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: 9783031975646

Standard No.: 10.1007/978-3-031-97564-6doiSubjects--Topical Terms:

606819
Computer science
--Congresses.

LC Class. No.: QA75.5

Dewey Class. No.: 004

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