Digital Twins for Digital Transformation: Innovation in Industry /

Digital Twins for Digital Transformation: Innovation in Industry /

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This book aims to present dominant applications and use cases of the fast-evolving DT and determines vital Industry 4.0 technologies for building DT that can provide solutions for fighting local and globalmedical emergencies during pandemics. Moreover, it discusses a new framework integrating DT and...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Darwish, Ashraf (Editor, http://id.loc.gov/vocabulary/relators/edt), Hassanien, Aboul Ella (Editor, http://id.loc.gov/vocabulary/relators/edt), Snasel, Vaclav (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2022
Edition:1st ed. 2022
Series:Studies in Systems, Decision and Control, 423
Subjects:
Computational intelligence
Industrial engineering
Machine learning
Production engineering
Computational Intelligence
Industrial and Production Engineering
Machine Learning

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