Data Analytics and Artificial Intelligence in Industry 5.0

The reference text discusses the evolution of blockchain and artificial intelligence technology, from fundamental theories to their practical applications in various sectors of Industry 4.0 such as intelligent transportation systems, healthcare, smart cities, supply chain management, and smart grids. It further discusses blockchain in digital forensics and threat hunting, and blockchain for data analytics. Address the challenges in designing blockchain-based secured solutions for Industry 5.0 applications using artificial intelligence. Discuss blockchain and artificial intelligence-based authentication, and accounting mechanisms for Industry 5.0. Covers automated industry 5.0 systems for fault detection, smart factory architecture, infrastructure, and design of manufacturing systems. Showcases artificial intelligence solutions for software-defined networks, blockchain for data analytics, and artificial intelligence for healthcare 5.0. Explores the use of artificial intelligence in cyber-physical systems, social networking, crowdsensing, 5G, edge, and cloud computing. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, manufacturing engineering, industrial engineering, and computer engineering.