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Digital Twins Enabling Technologies, Including Artificial Intelligence, Sensors, Cloud, and Edge Computing
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Author(s): Subramaniam Meenakshi Sundaram (GSSS Institute of Engineering and Technology for Women, Mysuru, India), Tejaswini R. Murgod (Nitte Meenakshi Institute of Technology, Bengaluru, India)and Sowmya M. (GSSS Institute of Engineering and Technology for Women, Mysuru, India)
Copyright: 2023
Pages: 14
Source title:
Digital Twins and Healthcare: Trends, Techniques, and Challenges
Source Author(s)/Editor(s): Loveleen Gaur (Amity University, India & Taylor's University, Malaysia & University of the South Pacific, Fiji)and Noor Zaman Jhanjhi (Taylor's University, Malaysia)
DOI: 10.4018/978-1-6684-5925-6.ch006
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Abstract
With the fast growth of big data, IoT, industrial internet, and intelligent control technology, digital twins are extensively employed as a novel form of technology in many aspects of life. Digital twins have emerged as the ideal connection between the real world of manufacturing and the digital virtual world, as well as an effective technological way of realizing the interaction and cooperation of the real and information worlds. Digital twins rely on knowledge mechanisms, digitization, and other technologies to build digital models. They use IoT and other technologies to convert data and information in the physical world into general data. Its necessity is mainly reflected in the massive data processing and system self-optimization in the digital twin ecosystem, so that the digital twin ecosystem is orderly and intelligent cloud travel, and it is the central brain of the digital twin ecosystem. The rapidly expanding digital twin market indicates that this technology is already in use across many industries and is demanded to rise at an estimated USD 48.2 billion in 2026.
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