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Computational and Experimental Simulations in Engineering: Proceedings of ICCES 2024Volume 4 [Hardback]

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  • Formāts: Hardback, 986 pages, height x width: 235x155 mm, 529 Illustrations, color; 72 Illustrations, black and white; XII, 986 p. 601 illus., 529 illus. in color., 1 Hardback
  • Sērija : Mechanisms and Machine Science 176
  • Izdošanas datums: 18-Mar-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031829069
  • ISBN-13: 9783031829062
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  • Hardback
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  • Formāts: Hardback, 986 pages, height x width: 235x155 mm, 529 Illustrations, color; 72 Illustrations, black and white; XII, 986 p. 601 illus., 529 illus. in color., 1 Hardback
  • Sērija : Mechanisms and Machine Science 176
  • Izdošanas datums: 18-Mar-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031829069
  • ISBN-13: 9783031829062
Citas grāmatas par šo tēmu:

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.

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.