Digital Twins for Digital Transformation: Innovation in Industry / / edited by Aboul Ella Hassanien, Ashraf Darwish, Vaclav Snasel
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| Titolo: |
Digital Twins for Digital Transformation: Innovation in Industry / / edited by Aboul Ella Hassanien, Ashraf Darwish, Vaclav Snasel
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Edizione: | 1st ed. 2022. |
| Descrizione fisica: | 1 online resource (206 pages) |
| Disciplina: | 670 |
| 003.3 | |
| Soggetto topico: | Computational intelligence |
| Industrial engineering | |
| Production engineering | |
| Machine learning | |
| Computational Intelligence | |
| Industrial and Production Engineering | |
| Machine Learning | |
| Persona (resp. second.): | HassanienAboul Ella |
| DarwishAshraf | |
| SnášelVáclav <1957-> | |
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Digital twins for digital transformation |
| ISBN: | 3-030-96802-2 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910564697203321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Studies in Systems, Decision and Control, . 2198-4190 ; ; 423