02934nam 22006495 450 991056469720332120251113180344.03-030-96802-210.1007/978-3-030-96802-1(MiAaPQ)EBC6961038(Au-PeEL)EBL6961038(CKB)21605780100041(PPN)262170078(OCoLC)1313881985(DE-He213)978-3-030-96802-1(EXLCZ)992160578010004120220421d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDigital Twins for Digital Transformation: Innovation in Industry /edited by Aboul Ella Hassanien, Ashraf Darwish, Vaclav Snasel1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (206 pages)Studies in Systems, Decision and Control,2198-4190 ;423Print version: Hassanien, Aboul Ella Digital Twins for Digital Transformation: Innovation in Industry Cham : Springer International Publishing AG,c2022 9783030968014 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.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.Studies in Systems, Decision and Control,2198-4190 ;423Computational intelligenceIndustrial engineeringProduction engineeringMachine learningComputational IntelligenceIndustrial and Production EngineeringMachine LearningComputational intelligence.Industrial engineering.Production engineering.Machine learning.Computational Intelligence.Industrial and Production Engineering.Machine Learning.670003.3Hassanien Aboul EllaDarwish AshrafSnášel Václav1957-MiAaPQMiAaPQMiAaPQBOOK9910564697203321Digital twins for digital transformation2965936UNINA