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020 _a9783031691072
_9978-3-031-69107-2
024 7 _a10.1007/978-3-031-69107-2
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050 4 _aQA76.9.C65
072 7 _aUYM
_2bicssc
072 7 _aCOM072000
_2bisacsh
072 7 _aUYM
_2thema
245 1 0 _aDigital Twins, Simulation, and the Metaverse
_h[electronic resource] :
_bDriving Efficiency and Effectiveness in the Physical World through Simulation in the Virtual Worlds /
_cedited by Michael Grieves, Edward Y. Hua.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aVIII, 446 p. 162 illus., 149 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSimulation Foundations, Methods and Applications,
_x2195-2825
505 0 _a1. Application of digital twins in manufacturing -- 2. Digital twins for advanced manufacturing -- 3. On the importance of simulation as an essential part of a digital twin for industrial applications -- 4. Digital Twins for Smart Production Planning and Control -- 5. A formal framework for digital twin modeling, verification & validation -- 6. Human Digital Twins: Understanding Performance of Humans Situated in Real-World Environments -- 7. Reinforcement Learning for Digital Twins.
520 _aDive into the fascinating world of Digital Twins, Simulation, and the Metaverse, where the virtual/digital and physical worlds collide and reshape industries. This book offers an insightful exploration of the revolutionary applications of these technologies, promising to ignite your imagination and inspire innovation. The topics described in this book represent a groundbreaking exploration of the synergistic relationship between digital twins, simulation, and the metaverse, as well as their transformative impact across various sectors. In addition to presenting theoretical discussions and experimental findings, this book focuses on real-life applications and illuminates the path for future research. This makes it a must-read for both industry and academia keen on understanding and harnessing the power of the emerging technologies. Topics and features: Discover from top thought leaders the predictions of how digital twins, simulation, and metaverses will evolve in direction, requirements, and capabilities Exploit the understanding of how digital-twin metaverses will revolutionize the effectiveness and efficiency of 21st-century work Explore cutting-edge, real-life applications of digital twins, simulation, and the metaverse (spanning a diverse array of industries and sectors) Understand the different views and perspectives of digital twins and metaverses shared by academia, industry, and government authors from around the world Learn how to harness the power of simulation in the world of digital twins and metaverses This unique volume consists of works from internationally renowned experts representing a diverse array of industries and sectors. It will be eminently suitable for researchers and practitioners working on modeling and simulation, digital twins, and the metaverse. Furthermore, this volume will serve as a valuable reference for executives and decision makers who are looking to leverage these cutting-edge technologies to expand their businesses, develop industrial and national strategies, and support future missions.
650 0 _aComputer simulation.
650 0 _aMathematical physics.
650 0 _aMathematical models.
_966910
650 0 _aInternet of things.
_958845
650 1 4 _aComputer Modelling.
_965738
650 2 4 _aComputational Physics and Simulations.
_965564
650 2 4 _aMathematical Modeling and Industrial Mathematics.
_966912
650 2 4 _aInternet of Things.
_958845
700 1 _aGrieves, Michael.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_986621
700 1 _aHua, Edward Y.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_986622
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031691065
776 0 8 _iPrinted edition:
_z9783031691089
776 0 8 _iPrinted edition:
_z9783031691096
830 0 _aSimulation Foundations, Methods and Applications,
_x2195-2825
_982757
856 4 0 _uhttps://doi.org/10.1007/978-3-031-69107-2
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