Simulation trained CNN for accurate embedded crack length, location, and orientation prediction from ultrasound measurements

Research article (International Journal of Solids and Structures, 2022) · cited 45× · AI/ML
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Simulation trained CNN for accurate embedded crack length, location, and orientation prediction from ultrasound measurements

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Simulation trained CNN for accurate embedded crack length, location, and orientation prediction from ultrasound measurements is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Simulation trained CNN for accurate embedded crack length, location, and orientation prediction from ultrasound measurements. Retrieved May 24, 2026, from https://4ort.xyz/entity/simulation-trained-cnn-for-accurate-embedded-crack-length-location-and-orientation-prediction-from-ultrasound-measuremen
MLA “Simulation trained CNN for accurate embedded crack length, location, and orientation prediction from ultrasound measurements.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/simulation-trained-cnn-for-accurate-embedded-crack-length-location-and-orientation-prediction-from-ultrasound-measuremen.
BibTeX @misc{4ortxyz_simulation-trained-cnn-for-accurate-embedded-crack-length-location-and-orientation-prediction-from-ultrasound-measuremen_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Simulation trained CNN for accurate embedded crack length, location, and orientation prediction from ultrasound measurements}}, year = {2026}, url = {https://4ort.xyz/entity/simulation-trained-cnn-for-accurate-embedded-crack-length-location-and-orientation-prediction-from-ultrasound-measuremen}, note = {Accessed: 2026-05-24}}
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