Computational and Experimental Simulations in Engineering : Proceedings of ICCES 2024—Volume 4 (Mechanisms and Machine Science)

Zhou, Kun (EDT)

Springer International Publishing AG（2025/03発売）

• 製本 Hardcover:ハードカバー版／ページ数 986 p.
• 言語 ENG
• 商品コード 9783031829062
• DDC分類 620.00113

Full Description

This book gathers the latest advances, innovations, and applications in the field of computational engineering, as presented by leading international researchers and engineers at the 30th International Conference on Computational & Experimental Engineering and Sciences (ICCES), held in Singapore on August 3-6, 2024. ICCES covers all aspects of applied sciences and engineering: theoretical, analytical, computational, and experimental studies and solutions of problems in the physical, chemical, biological, mechanical, electrical, and mathematical sciences. As such, the book discusses highly diverse topics, including composites; bioengineering and biomechanics; geotechnical engineering; offshore and arctic engineering; multi-scale and multi-physics fluid engineering; structural integrity and longevity; materials design and simulation; and computer modeling methods in engineering. The contributions, which were selected by means of a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaborations.

Contents

Numerical Simulation of Shallow Water Turbulence with SPH Method.- The Research and Application of Neural Network Algorithm in Intelligent Plunger Lift Technique.- A Steganography Model for the Automatic Generation of Poemswith Controllable Themes and Emotions.- The Intelligent Application of Shenzhen Metro Video Surveillance System.- Life Cycle Multi-State Analysis and Design of Large Span Basement Raft Above Underground Suburban Railway.- Fed Autoformer A Federated Learning Based Battery Anomaly Detection Approach for Electric Vehicle Charging with Privacy Preservation.- An Improved Federated Learning Intrusion Detection with Collaborative Feature Selection on CICIDS 2017.- Microstructure Property Prediction of a Ni Based Superalloy A Multiscale Study.- Text Steganalysis with Language Style for Social Networks.- Pseudo Label Based Domain Adaptation for Zero Shot Text Steganalysis.