A Comparison of CNN-based Image Feature Extractors for Weld Defects Classification
Classification of the types of weld defects is one of the stages of evaluating radiographic images, which is an essential step in controlling the quality of welded joints in materials. By automating the weld defects classification based on deep learning and the CNN architecture, it is possible to ov...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Sebelas Maret University
2024-05-01
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| coleção: | Indonesian Journal of Applied Physics |
| Assuntos: | |
| Acesso em linha: | https://jurnal.uns.ac.id/ijap/article/view/72509 |
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