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Intelligent Techniques for Cyber-Physical Systems

By: (Edited by) Anil Kumar Sagar , (Edited by) Jagendra Singh , (Edited by) Mohammad Sajid , (Edited by) Mukesh Prasad , (Edited by) Osamah Ibrahim Khalaf

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Ksh 22,500.00

Format: Hardback or Cased Book

ISBN-10: 1032452862

ISBN-13: 9781032452869

Series: Computational Intelligence Techniques

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Oct 20th, 2023

Print length: 340 Pages

Weight: 453 grams

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This covers challenges, opportunities, and open research directions for Cyber-Physical Systems (CPS). It focuses on the design and development of Machine Learning/Metaheuristics-enabled methods, and Blockchain for security, resource management, computation offloading, trust management, and others in edge, fog/cloud computing, IoT, & IoE.

Intelligent Techniques for Cyber-Physical Systems covers challenges, opportunities, and open research directions for cyber-physical systems (CPS). It focuses on the design and development of machine learning and metaheuristics-enabled methods as well as blockchain for various challenges like security, resource management, computation offloading, trust management, and others in edge, fog, and cloud computing, Internet of Things (IoT), Internet of Everything (IoE), and smart cities. It also includes the design and analysis of deep learning-based models, sensing technologies, metaheuristics, and blockchain for complex real-life systems for CPS.

  • Offers perspectives on the research directions in CPS;
  • Provides state-of-the-art reviews on intelligent techniques, machine learning, deep learning, and reinforcement learning-based models for cloud-enabled IoT environment;
  • Discusses intelligent techniques for complex real-life problems in different CPS scenarios;
  • Reviews advancements in blockchain technology and smart cities;
  • Explores machine learning-based intelligent models for combinatorial optimization problems.

The book is aimed at researchers and graduate students in computer science, engineering, and electrical and electronics engineering.


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