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Ajouter au panierEtat : New. pages cm 1st edition Includes bibliographical references and index.
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Ajouter au panierPaperback. Etat : Brand New. 356 pages. 9.18x6.12x9.21 inches. In Stock.
Edité par Taylor & Francis Ltd, London, 2025
ISBN 10 : 1032572582 ISBN 13 : 9781032572581
Langue: anglais
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Ajouter au panierPaperback. Etat : new. Paperback. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Edité par Taylor & Francis Ltd, London, 2025
ISBN 10 : 1032572582 ISBN 13 : 9781032572581
Langue: anglais
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EUR 79,03
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Ajouter au panierPaperback. Etat : new. Paperback. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Edité par Taylor & Francis Ltd, London, 2025
ISBN 10 : 1032572582 ISBN 13 : 9781032572581
Langue: anglais
Vendeur : Grand Eagle Retail, Mason, OH, Etats-Unis
EUR 72,85
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Ajouter au panierPaperback. Etat : new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 69,50
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Ajouter au panierPaperback. Etat : Brand New. 356 pages. 9.18x6.12 inches. In Stock. This item is printed on demand.
Vendeur : moluna, Greven, Allemagne
EUR 69,86
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Mohammad Sajid is Assistant Professor in the Department of Computer Science at Aligarh Muslim University, India. He has completed his Ph.D., M.Tech., and MCA degrees at the School of Computer and Systems Sciences, Jawaharlal Nehru Univer.