Overview
- Presents dominant applications and use cases of the fast-evolving digital twins
- Seeks to determine vital Industry 4.0 technologies for building digital twins
- Written by leading experts in the field
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 423)
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Table of contents (10 chapters)
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Front Matter
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Digital Twins for Digital Transformation: Innovation in Industry
Editors: Aboul Ella Hassanien, Ashraf Darwish, Vaclav Snasel
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-96802-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-96801-4Published: 22 April 2022
Softcover ISBN: 978-3-030-96804-5Published: 22 April 2023
eBook ISBN: 978-3-030-96802-1Published: 21 April 2022
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: VIII, 200
Number of Illustrations: 3 b/w illustrations, 61 illustrations in colour
Topics: Computational Intelligence, Industrial and Production Engineering, Machine Learning