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.

Covers the latest applications of artificial intelligence, the internet of things, and the internet of everything in a comprehensive manner. Discusses the latest internet of things (IoT) platform such as google cloud platform, industrial IoT, and IoT gateways. Explains self-optimizing network like vehicular networks, sensor networks, and drone networks. Explores security and privacy issues including blockchain security. Covers deep learning, and reinforcement learning for IoT applications.