Using deep learning to identify the depth of metal surface defects with narrowband SAW signals

Research article (Optics & Laser Technology, 2022) · cited 25× · AI/ML
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Using deep learning to identify the depth of metal surface defects with narrowband SAW signals

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Using deep learning to identify the depth of metal surface defects with narrowband SAW signals is a scholarly article[1].

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  • Using deep learning to identify the depth of metal surface defects with narrowband SAW signals's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Using deep learning to identify the depth of metal surface defects with narrowband SAW signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-deep-learning-to-identify-the-depth-of-metal-surface-defects-with-narrowband-saw-signals
MLA “Using deep learning to identify the depth of metal surface defects with narrowband SAW signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-deep-learning-to-identify-the-depth-of-metal-surface-defects-with-narrowband-saw-signals.
BibTeX @misc{4ortxyz_using-deep-learning-to-identify-the-depth-of-metal-surface-defects-with-narrowband-saw-signals_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using deep learning to identify the depth of metal surface defects with narrowband SAW signals}}, year = {2026}, url = {https://4ort.xyz/entity/using-deep-learning-to-identify-the-depth-of-metal-surface-defects-with-narrowband-saw-signals}, note = {Accessed: 2026-05-24}}
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