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Generative Artificial Intelligence for Industry 5.0
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Generative Artificial Intelligence for Industry 5.0 : Technology, Applications and Innovation

Book Details

Format Hardback or Cased Book
ISBN-10 1041146701
ISBN-13 9781041146704
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture GB
Country of Publication GB
Publication Date Jan 20th, 2027
Print length 368 Pages
Ksh 26,300.00
Not Yet Published 0 in stock

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This text shows how robotics, digital twin, and 4D printing technologies can be merged with generative artificial intelligence to provide intelligent and flexible automation in Industry 5.0.
This text shows how robotics, digital twin, and 4D printing technologies can be merged with generative artificial intelligence to provide intelligent and flexible automation in Industry 5.0. It discusses the advantages of using generative artificial intelligence in digital twins to provide real-time simulations and forecast insights for process optimization in the industry. This book:Showcases a detailed view of how generative artificial intelligence can be composed with the industry 5.0 concept to produce more specialized and personalized product. Emphasizes how the Internet of Things and generative artificial intelligence can produce intelligent, interconnected systems that are able to make real-time decisions in manufacturing processes. Focuses on human-centric artificial intelligence systems to automate complex work and solve hard problems efficiently. Explores how operational dependability may be ensured by predictive analytics in the Internet of Things and artificial intelligence, which can detect equipment failures, minimize downtime, and enhance processes through continuous data monitoring and predictive algorithms. Discusses novel security algorithms and techniques, which guarantee the safety of critical industrial data and operations using Internet of Things and generative artificial intelligence by detecting and responding to assaults instantaneously. It is written for senior undergraduate students, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, manufacturing and processing engineering, automotive engineering, and industrial engineering.

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