Arc bubble edge detection method based on deep transfer learning in underwater wet welding
Abstract The stability of arc bubble is a crucial indicator of underwater wet welding process. However, limited research exists on detecting arc bubble edges in such environments, and traditional algorithms often produce blurry and discontinuous results. To address these challenges, we propose a nov...
Tallennettuna:
| Päätekijät: | , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Nature Portfolio
2024-09-01
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| Sarja: | Scientific Reports |
| Aiheet: | |
| Linkit: | https://doi.org/10.1038/s41598-024-73516-3 |
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