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Record Nr. |
UNINA9910564697203321 |
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Titolo |
Digital Twins for Digital Transformation: Innovation in Industry / / edited by Aboul Ella Hassanien, Ashraf Darwish, Vaclav Snasel |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (206 pages) |
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Collana |
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Studies in Systems, Decision and Control, , 2198-4190 ; ; 423 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Industrial engineering |
Production engineering |
Machine learning |
Computational Intelligence |
Industrial and Production Engineering |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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IoHCT: Internet of Cultural Heritage Things Digital Twins for Conservation and Health Monitoring of Cultural in the Age of Digital Transformation -- MTConnect and Digital Twin Applications and Future Perspectives -- The Future of Digital Twins for Autonomous Systems: analysis and opportunities. |
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Sommario/riassunto |
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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 blockchain technology to provide a more efficient and effective preventive conservation in different applications. |
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