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A Deep-Convolutional-Neural-Network-Based Semi-Supervised Learning Method for Anomaly Crack Detection

Research article (Applied Sciences, 2022) · cited 18× · AI/ML
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A Deep-Convolutional-Neural-Network-Based Semi-Supervised Learning Method for Anomaly Crack Detection

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A Deep-Convolutional-Neural-Network-Based Semi-Supervised Learning Method for Anomaly Crack Detection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Deep-Convolutional-Neural-Network-Based Semi-Supervised Learning Method for Anomaly Crack Detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-convolutional-neural-network-based-semi-supervised-learning-method-for-anomaly-crack-detection
MLA “A Deep-Convolutional-Neural-Network-Based Semi-Supervised Learning Method for Anomaly Crack Detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-convolutional-neural-network-based-semi-supervised-learning-method-for-anomaly-crack-detection.
BibTeX @misc{4ortxyz_a-deep-convolutional-neural-network-based-semi-supervised-learning-method-for-anomaly-crack-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Deep-Convolutional-Neural-Network-Based Semi-Supervised Learning Method for Anomaly Crack Detection}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-convolutional-neural-network-based-semi-supervised-learning-method-for-anomaly-crack-detection}, note = {Accessed: 2026-05-24}}
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