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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
cyber-physical systems (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 and engineering and electrical and electronics
engineering.
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