Human Digital Twin Processes and their Future
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-58523-4_10
Reference29 articles.
1. Coşgun, A. E. (2023). Digital twin and human digital twin for practical implementation in Industry 5.0. In Global perspectives on robotics and autonomous systems: Development and applications (pp. 168–183). IGI Global.
2. Wang, E., Tayebi, P., & Song, Y.-T. (2023). Cloud-based digital twins’ storage in emergency healthcare. International Journal of Networked and Distributed Computing, 11, 75–87.
3. Javaid, M., Haleem, A., & Suman, R. (2023). Digital twin applications toward Industry 4.0: A review. Cognitive Robotics, 3, 71–92.
4. Yang, D., Sun, M., Zhou, J., Lu, Y., et al. (2023). Expert consensus on the “Digital Human” of metaverse in medicine. Clinical eHealth, 6, 159–163.
5. Manickam, S., Yarlagadda, L., Shynu, P. G., & Chowdhary, C. L. (2023). Unlocking the potential of digital twins: A comprehensive review of concepts, frameworks, and industrial applications. IEEE Access, 11, 135147.
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