AI Vision Use Case for Digital Twin WIP Tracking in Heavy Industry
- DOI
- 10.1007/978-3-031-43670-3_39
- Published
- 2023
- Container
- Not recorded
- Publisher
- Springer Nature Switzerland
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-43670-3_39,
title = {AI Vision Use Case for Digital Twin WIP Tracking in Heavy Industry},
author = {Jang Won Choi and Sungjae Cho and Binglu Li and Jong-Hoon Park},
year = {2023},
doi = {10.1007/978-3-031-43670-3_39},
url = {https://doi.org/10.1007/978-3-031-43670-3_39}
}RIS
TY - JOUR TI - AI Vision Use Case for Digital Twin WIP Tracking in Heavy Industry AU - Jang Won Choi AU - Sungjae Cho AU - Binglu Li AU - Jong-Hoon Park PY - 2023 DO - 10.1007/978-3-031-43670-3_39 UR - https://doi.org/10.1007/978-3-031-43670-3_39 ER -
APA
Choi, J. W., Cho, S., Li, B., & Park, J. (2023). AI Vision Use Case for Digital Twin WIP Tracking in Heavy Industry. https://doi.org/10.1007/978-3-031-43670-3_39
Source records
- hal · retrieved 2026-09-25T16:43:21.205Z