Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numerical simulations

Research article (e-Journal of Nondestructive Testing, 2023) · cited 11× · AI/ML
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Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numerical simulations

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Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numerical simulations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numerical simulations. Retrieved May 24, 2026, from https://4ort.xyz/entity/defect-detectability-analysis-via-probability-of-defect-detection-between-traditional-and-deep-learning-methods-in-numer
MLA “Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numerical simulations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/defect-detectability-analysis-via-probability-of-defect-detection-between-traditional-and-deep-learning-methods-in-numer.
BibTeX @misc{4ortxyz_defect-detectability-analysis-via-probability-of-defect-detection-between-traditional-and-deep-learning-methods-in-numer_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numerical simulations}}, year = {2026}, url = {https://4ort.xyz/entity/defect-detectability-analysis-via-probability-of-defect-detection-between-traditional-and-deep-learning-methods-in-numer}, note = {Accessed: 2026-05-24}}
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