Verlag: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032572582 ISBN 13: 9781032572581
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In den WarenkorbPaperback. Zustand: 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.
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In den WarenkorbZustand: New. pages cm 1st edition Includes bibliographical references and index.
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Verlag: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032572582 ISBN 13: 9781032572581
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In den WarenkorbPaperback. Zustand: 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.
Verlag: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032572582 ISBN 13: 9781032572581
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In den WarenkorbPaperback. Zustand: 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.
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In den WarenkorbZustand: 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.
Verlag: Taylor & Francis Ltd (Sales) Okt 2023, 2023
ISBN 10: 1032452862 ISBN 13: 9781032452869
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 340 pp. Englisch.
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Mohammad Sajid is a committed academician with several years of extensive experience in teaching and administration at a leading academic institution. Currently, he is working as an Assistant Professor in the Department of Computer S.
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In den WarenkorbBuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.