Crack identification of automobile steering knuckle fluorescent penetrant inspection based on deep convolutional generative adversarial networks data enhancement

Research article (Frontiers in Physics, 2022) · cited 13× · AI/ML
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Crack identification of automobile steering knuckle fluorescent penetrant inspection based on deep convolutional generative adversarial networks data enhancement

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Crack identification of automobile steering knuckle fluorescent penetrant inspection based on deep convolutional generative adversarial networks data enhancement is a scholarly article[1].

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  • Crack identification of automobile steering knuckle fluorescent penetrant inspection based on deep convolutional generative adversarial networks data enhancement's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Crack identification of automobile steering knuckle fluorescent penetrant inspection based on deep convolutional generative adversarial networks data enhancement. Retrieved May 24, 2026, from https://4ort.xyz/entity/crack-identification-of-automobile-steering-knuckle-fluorescent-penetrant-inspection-based-on-deep-convolutional-generat
MLA “Crack identification of automobile steering knuckle fluorescent penetrant inspection based on deep convolutional generative adversarial networks data enhancement.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/crack-identification-of-automobile-steering-knuckle-fluorescent-penetrant-inspection-based-on-deep-convolutional-generat.
BibTeX @misc{4ortxyz_crack-identification-of-automobile-steering-knuckle-fluorescent-penetrant-inspection-based-on-deep-convolutional-generat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Crack identification of automobile steering knuckle fluorescent penetrant inspection based on deep convolutional generative adversarial networks data enhancement}}, year = {2026}, url = {https://4ort.xyz/entity/crack-identification-of-automobile-steering-knuckle-fluorescent-penetrant-inspection-based-on-deep-convolutional-generat}, note = {Accessed: 2026-05-24}}
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