Investigation of deep learning approaches for automated damage diagnostics in fiber metal laminates using Detectron2 and SAM
The impact damage is one of the major causes of structural failures in Fiber Metal Laminate (FML) plates, which are widely used in the aerospace and automotive industries due to their superior mechanical properties. Accurate detection, segmentation, and characterization of these damages are crucial...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-08-01
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| Series: | Frontiers in Artificial Intelligence |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2025.1599345/full |
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