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Digital Twin in Industry: State-of-the-Art - IEEE Xplore
https://ieeexplore.ieee.org/abstract/document/8477101
WEBSep 30, 2018 · Abstract: Digital twin (DT) is one of the most promising enabling technologies for realizing smart manufacturing and Industry 4.0. DTs are characterized by the seamless integration between the cyber and physical spaces. The importance of DTs is increasingly recognized by both academia and industry.
DA: 71 PA: 49 MOZ Rank: 48
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Digital Twins: State of the art theory and practice, challenges, and
https://www.sciencedirect.com/science/article/pii/S2452414X22000516
WEBNov 1, 2022 · Digital Twins: State of the art theory and practice, challenges, and open research questions - ScienceDirect. Journal of Industrial Information Integration. Volume 30, November 2022, 100383. Review article. Digital Twins: State of the art theory and practice, challenges, and open research questions. Angira Sharma a. , Edward Kosasih b. ,
DA: 81 PA: 58 MOZ Rank: 51
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Digital Twin models in industrial operations: State‐of‐the‐art and
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cim2.12010
WEBMar 21, 2021 · Digital Twin models in industrial operations: State-of-the-art and future research directions. Tsega Y. Melesse, Valentina Di Pasquale, Stefano Riemma. First published: 21 March 2021. https://doi.org/10.1049/cim2.12010. Citations: 50. Sections. PDF. Tools. Share. Abstract.
DA: 2 PA: 37 MOZ Rank: 72
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A state-of-the-art survey of Digital Twin: techniques, engineering
https://link.springer.com/article/10.1007/s10845-019-01512-w
WEBNov 18, 2019 · Abstract. With the rapid advancement of cyber-physical systems, Digital Twin (DT) is gaining ever-increasing attention owing to its great capabilities to realize Industry 4.0. Enterprises from different fields are taking advantage of its ability to simulate real-time working conditions and perform intelligent decision-making, where a cost ...
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Digital Twin in Industry: State-of-the-Art | Semantic Scholar
https://www.semanticscholar.org/paper/Digital-Twin-in-Industry%3A-State-of-the-Art-Tao-Zhang/d2d00d0a9c4f06f8a395a9775ee555e2e8693c22
WEBApr 1, 2019 · Digital Twin in Industry: State-of-the-Art | Semantic Scholar. DOI: 10.1109/TII.2018.2873186. Corpus ID: 68170459. Digital Twin in Industry: State-of-the-Art. F. Tao, He Zhang, +1 author. A. Nee. Published in IEEE Transactions on… 1 April 2019. Engineering, Computer Science. TLDR.
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Digital Twin in Industry: State-of-the-Art | Request PDF
https://www.researchgate.net/publication/345078627_Digital_Twin_in_Industry_State-of-the-Art
WEBApr 1, 2019 · Request PDF | Digital Twin in Industry: State-of-the-Art | Digital twin (DT) is one of the most promising enabling technologies for realizing smart manufacturing and Industry 4.0.
DA: 88 PA: 19 MOZ Rank: 71
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Advancements and challenges of digital twins in industry
https://www.nature.com/articles/s43588-024-00603-w
WEBMar 26, 2024 · State of the art in digital twins for industrial applications. So far, digital twins have addressed many problems in some industrial application scenarios.
DA: 76 PA: 5 MOZ Rank: 53
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[2011.02833] Digital Twins: State of the Art Theory and Practice
https://arxiv.org/abs/2011.02833
WEBNov 2, 2020 · Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions. Digital Twin was introduced over a decade ago, as an innovative all-encompassing tool, with perceived benefits including …
DA: 18 PA: 63 MOZ Rank: 51
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Digital Twin in Industry: State-of-the-Art - SciSpace by Typeset
https://typeset.io/papers/digital-twin-in-industry-state-of-the-art-uehyjj809x
WEBAbstract: Digital twin (DT) is one of the most promising enabling technologies for realizing smart manufacturing and Industry 4.0. DTs are characterized by the seamless integration between the cyber and physical spaces. The importance of DTs is increasingly recognized by both academia and industry.
DA: 40 PA: 73 MOZ Rank: 93
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State-of-the-art survey on digital twin implementations
https://link.springer.com/article/10.1007/s40436-021-00375-w
WEBJan 4, 2022 · Digital twin (DT) has garnered attention in both industry and academia. With advances in big data and internet of things (IoTs) technologies, the infrastructure for DT implementation is becoming more readily available. As an emerging technology, there are both potential and challenges.
DA: 49 PA: 72 MOZ Rank: 96