Intelligent Computing and Automation : Proceedings of the 12th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2024)

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¥70,946
  • 電子書籍
  • ポイントキャンペーン

Intelligent Computing and Automation : Proceedings of the 12th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2024)

  • 著者名:Bhateja, Vikrant (EDT)/Dey, Maitreyee (EDT)/Simic, Milan (EDT)
  • 価格 ¥54,741 (本体¥49,765)
  • Springer(2025/03/28発売)
  • 2026年も読書三昧!Kinoppy電子書籍・電子洋書 全点ポイント30倍キャンペーン(~1/12)
  • ポイント 14,910pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9789819601424
  • eISBN:9789819601431

ファイル: /

Description

The book presents the proceedings of the 12th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2024), held at Intelligent Systems Research Group (ISRG), London Metropolitan University, London, United Kingdom, during June 6–7, 2024. Researchers, scientists, engineers and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. This book is divided into four volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This book is a valuable resource for postgraduate students in various engineering disciplines.

Table of Contents

Chapter 1: The Odyssey of Robots: From Fictional Narratives to Revolutionary Healthcare Solutions.- Chapter 2: Data Acquisition Framework for Drone-Based Research: The Case of Erosion Monitoring in Mauritius.- Chapter 3: 3D Reconstruction of Building Models based on 2D Floorplans using Statistical Analysis.- Chapter 4: Air Quality Data Integration and Visualization in Urban Environment.- Chapter 5: Towards Foundation Models: A simple approach for building large event recognition models [LERM] using federated multi-instance knowledge distillation.- Chapter 6: Link Prediction based on Node Centrality Measure.- Chapter 7: Automatic Table Detection and Tabular Data Extraction from Scanned Documents.- Chapter 8: Broad Study on Automated Fire Fighting Vehicle Powered by Arduino.- Chapter 9: Computer Vision- and Human-Robot Interaction-supported Assembly for Collaborative off-Earth Habitat Construction.- Chapter 10: Enhancing Digital Forensic Analysis for Locating Missing Persons: Multimodal Data Integration. etc.

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