Mohamed Elhefnawy, Mohamed-Salah Ouali
, Ahmed Ragab and Mouloud Amazouz
Article (2023)
 Open Acess document in PolyPublie and at official publisher |
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Open Access to the full text of this document Terms of Use: Creative Commons Attribution Non-commercial No Derivatives Download (5MB) |
| Department: | Department of Mathematics and Industrial Engineering |
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| PolyPublie URL: | https://publications.polymtl.ca/54799/ |
| Journal Title: | Results in Engineering (vol. 19) |
| Publisher: | Elsevier B.V. |
| DOI: | 10.1016/j.rineng.2023.101234 |
| Official URL: | https://doi.org/10.1016/j.rineng.2023.101234 |
| Date Deposited: | 30 Aug 2023 09:54 |
| Last Modified: | 10 Apr 2024 02:21 |
| Cite in APA 7: | Elhefnawy, M., Ouali, M.-S., Ragab, A., & Amazouz, M. (2023). Fusion of heterogeneous industrial data using polygon generation & deep learning. Results in Engineering, 19, 11 pages. https://doi.org/10.1016/j.rineng.2023.101234 |
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