DIGITAL TWIN FOR STRUCTURE HEALTH MONITORING FOR COMPOSITES STRUCTURES
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Zenodo
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| Format: | Recurso digital |
| Publié: |
Zenodo
2023
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| _version_ | 1866901427108970496 |
|---|---|
| author | Ameni RAGOUBI |
| author_facet | Ameni RAGOUBI |
| contents | This work aim to develop a method for detecting damage in composite materials based on Machine Learning algorithms. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15317832 |
| institution | Zenodo |
| language | |
| publishDate | 2023 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | DIGITAL TWIN FOR STRUCTURE HEALTH MONITORING FOR COMPOSITES STRUCTURES Ameni RAGOUBI This work aim to develop a method for detecting damage in composite materials based on Machine Learning algorithms. |
| title | DIGITAL TWIN FOR STRUCTURE HEALTH MONITORING FOR COMPOSITES STRUCTURES |
| url | https://doi.org/10.5281/zenodo.15317832 |