Erscheint: Februar 2027

Generative Artificial Intelligence for Industry 5.0

Technology, Applications and Innovation

Produkt bewerten

Verlag:

Unsere-Artikel-Nr.: P35938887

EAN: 9781041146704

Erscheint: Februar 2027

Versand: Kostenlos

-22.1 %

CHF 235.–

CHF 183.–

Beschreibung

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.

Spezifikationen

Sprache

Englisch

Autor

Gupta Sakshi
Unhelkar Bhuvan
Srivastava Rajeev
Itu Snigdh

Zielgruppe

Academic
Postgraduate
and Undergraduate Advanced

Erscheinungsjahr

2027

Format

Buch (Hardcover)

Anzahl Seiten