Online identification of laser welding penetration through multi-photoelectric decomposition-reconstruction and shifted-windows-based transformer deep learning framework

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Online identification of laser welding penetration through multi-photoelectric decomposition-reconstruction and shifted-windows-based transformer deep learning framework

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Online identification of laser welding penetration through multi-photoelectric decomposition-reconstruction and shifted-windows-based transformer deep learning framework is a scholarly article[1].

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  • Online identification of laser welding penetration through multi-photoelectric decomposition-reconstruction and shifted-windows-based transformer deep learning framework's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Online identification of laser welding penetration through multi-photoelectric decomposition-reconstruction and shifted-windows-based transformer deep learning framework. Retrieved May 24, 2026, from https://4ort.xyz/entity/online-identification-of-laser-welding-penetration-through-multi-photoelectric-decomposition-reconstruction-and-shifted-
MLA “Online identification of laser welding penetration through multi-photoelectric decomposition-reconstruction and shifted-windows-based transformer deep learning framework.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/online-identification-of-laser-welding-penetration-through-multi-photoelectric-decomposition-reconstruction-and-shifted-.
BibTeX @misc{4ortxyz_online-identification-of-laser-welding-penetration-through-multi-photoelectric-decomposition-reconstruction-and-shifted-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Online identification of laser welding penetration through multi-photoelectric decomposition-reconstruction and shifted-windows-based transformer deep learning framework}}, year = {2026}, url = {https://4ort.xyz/entity/online-identification-of-laser-welding-penetration-through-multi-photoelectric-decomposition-reconstruction-and-shifted-}, note = {Accessed: 2026-05-24}}
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