Intelligent Techniques for Cyber-Physical Systems Hardback
Edited by Mohammad Sajid, Anil (Sharda University, India) Kumar Sagar, Jagendra Singh, Osamah Ibrahim Khalaf, Mukesh (University of Technology Sydney, Australia.) Prasad
Part of the Computational Intelligence Techniques series
Hardback
Description
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.
Information
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Out of stock
- Format:Hardback
- Pages:340 pages, 30 Tables, black and white; 98 Line drawings, black and white; 12 Halftones, black and wh
- Publisher:Taylor & Francis Ltd
- Publication Date:20/10/2023
- Category:
- ISBN:9781032452869
Information
-
Out of stock
- Format:Hardback
- Pages:340 pages, 30 Tables, black and white; 98 Line drawings, black and white; 12 Halftones, black and wh
- Publisher:Taylor & Francis Ltd
- Publication Date:20/10/2023
- Category:
- ISBN:9781032452869
