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Digital Twins: Internet of Things, Machine Learning, and Smart Manufacturing [Kõva köide]

  • Formaat: Hardback, 255 pages, kõrgus x laius: 240x170 mm, kaal: 564 g, 1 Tables, black and white; 77 Illustrations, color; 6 Illustrations, black and white
  • Sari: Smart Computing Applications
  • Ilmumisaeg: 18-Sep-2023
  • Kirjastus: De Gruyter
  • ISBN-10: 3110778785
  • ISBN-13: 9783110778786
  • Formaat: Hardback, 255 pages, kõrgus x laius: 240x170 mm, kaal: 564 g, 1 Tables, black and white; 77 Illustrations, color; 6 Illustrations, black and white
  • Sari: Smart Computing Applications
  • Ilmumisaeg: 18-Sep-2023
  • Kirjastus: De Gruyter
  • ISBN-10: 3110778785
  • ISBN-13: 9783110778786

The book series “Smart Computing Applications” provides a platform for researchers, academicians and practitioners to exchange ideas on recent theoretical and applied data science and computing technologies research, with a particular attention to the possible applications of such technologies in the industry, especially in the field of mechanical and industrial engineering.

This series serves as a valuable resource for graduate, postgraduate, doctoral students, researchers, academicians and industry professionals.

This book explores the significance, challenges and benefits of digital twin technologies; it focuses in particular on various architectures, applications and challenges in the implementation of digital twins to Machine Learning and Internet of Things capabilities. Through the analysis of smart city and smart manufacturing case studies, the book explores the benefits of digital technologies in the Industry 4.0 Era.

Y. Borole, Raisoni Institute of Engineering and Technology, Pune, India; P. Borkar, R. Raut, V. Balpande and P. Chatterjee, India.