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)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
Similar content being viewed by others
Keywords
Table of contents (10 chapters)
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