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_a10.1007/978-3-031-58523-4 _2doi |
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_aTransforming Industry using Digital Twin Technology _h[electronic resource] / _cedited by Ashutosh Mishra, May El Barachi, Manoj Kumar. |
250 | _a1st ed. 2024. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
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300 |
_aVI, 327 p. 124 illus. _bonline resource. |
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505 | 0 | _aChapter 1. Digital Twins in Industry: Real-world Applications and Innovations -- Chapter 2. Artificial Intelligence in Digital Twins for Sustainable Future -- Chapter 3. The Place and Role of Digital Twin Applications: Directions for Energy and Education Sector -- Chapter 4. The Role of Digital Trust in Enhancing Cyber security Resilience -- Chapter 5. From Reactive to Proactive: Predicting and Optimizing Performance for Competitive Advantage -- Chapter 6. An Efficient Digital Twin Assisted Deep Learning-based Blockchain Framework for Patient Discomfort Detection in Smart HealthCare System -- Chapter 7. Smart Factory Digital Twin for Performance Measurement, Optimization and Prediction -- Chapter 8. BLOCKCHAIN AND DIGITAL TWIN -- Chapter 9. Personalize Learning Experience in Education using Digital Twins with Human-Centered Design and Pedagogy -- Chapter 10. HUMAN DIGITAL TWIN PROCESSES AND ITS FUTURE -- Chapter 11. Digital Twin Application in Various Sectors -- Chapter 12. A REVIEW OF DIGITAL TWIN APPLICATIONS IN VARIOUS SECTORS -- Chapter 13. Digital Twin-Enabled Solution for Smart City Applications -- Chapter 14. Integrating Digital Twin Technology and Intelligent Transportation System for Smart Mobility. | |
520 | _aThis book enables readers with varying backgrounds to understand the need for Digital Twin technologies. The authors describe how digital twin amounts to the convergence of the physical and the virtual worlds where each industrial process, asset, service, or product gets a digital replica and dynamic digital blueprint and representation, from the design phase to the deployment phase. Through this book, readers will be enabled to work on Digital Twin techniques and gain from experience. The book will provide a high level of understanding of the emerging technologies and why Digital Twin offers the potential of acquiring and processing a tremendous amount of data from the physical world. Discusses innovative features of Digital Twin and how it can improve economic efficiency Includes case studies of successful implementation across numerous domains Provides state-of-the art information on digital twin technologies, as well as applications in various domains. | ||
650 | 0 |
_aCooperating objects (Computer systems). _96195 |
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650 | 0 |
_aIndustrial engineering. _931641 |
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650 | 0 |
_aAutomation. _92392 |
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650 | 0 |
_aAutomotive engineering. _9102195 |
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650 | 1 | 4 |
_aCyber-Physical Systems. _932475 |
650 | 2 | 4 |
_aIndustrial Automation. _946517 |
650 | 2 | 4 |
_aAutomotive Engineering. _9102196 |
700 | 1 |
_aMishra, Ashutosh. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9102198 |
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700 | 1 |
_aEl Barachi, May. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9102200 |
|
700 | 1 |
_aKumar, Manoj. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _91466 |
|
710 | 2 |
_aSpringerLink (Online service) _9102202 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031585227 |
776 | 0 | 8 |
_iPrinted edition: _z9783031585241 |
776 | 0 | 8 |
_iPrinted edition: _z9783031585258 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-58523-4 |
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