Meriem Smati, Jannik Laval, Christophe Danjou and Vincent Cheutet
Article (2025)
| Department: | Department of Mathematics and Industrial Engineering |
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| PolyPublie URL: | https://publications.polymtl.ca/70142/ |
| Journal Title: | Computers & Industrial Engineering (vol. 211) |
| Publisher: | Elsevier BV |
| DOI: | 10.1016/j.cie.2025.111616 |
| Official URL: | https://doi.org/10.1016/j.cie.2025.111616 |
| Date Deposited: | 20 Nov 2025 15:14 |
| Last Modified: | 20 Nov 2025 15:14 |
| Cite in APA 7: | Smati, M., Laval, J., Danjou, C., & Cheutet, V. (2025). Enhancing data anomaly prediction and real-time physical problem detection with Digital Twins and Cognitive Super Digital Twins. Computers & Industrial Engineering, 211, 111616 (14 pages). https://doi.org/10.1016/j.cie.2025.111616 |
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