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Digital Twins
Internet of Things, Machine Learning, and Smart Manufacturing
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Yogini Borole
, Pradnya Borkar , Roshani Raut , Vijaya Parag Balpande and Prasenjit Chatterjee
Language:
English
Published/Copyright:
2023
About this book
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.
- Comprehensive theoretical account of digital twin technologies.
- Applications to Internet of Things and Machine Learning.
- Detailed analysis of smart city and smart manufacturing case studies.
Author / Editor information
Y. Borole, Raisoni Institute of Engineering and Technology, Pune, India; P. Borkar, R. Raut, V. Balpande and P. Chatterjee, India.
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Publishing information
Pages and Images/Illustrations in book
eBook published on:
September 18, 2023
eBook ISBN:
9783110778861
Hardcover published on:
September 18, 2023
Hardcover ISBN:
9783110778786
Pages and Images/Illustrations in book
Front matter:
16
Main content:
239
Illustrations:
6
Coloured Illustrations:
77
Tables:
1
Audience(s) for this book
Professionals working in the field, research scholars, graduate students in computer science and electrical engineering
Safety & product resources
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Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com