Automated detection and segmentation of internal defects in reinforced concrete using deep learning on ultrasonic images
Summary
Automated detection and segmentation of internal defects in reinforced concrete using deep learning on ultrasonic images is a scholarly article[1].
Key Facts
Automated detection and segmentation of internal defects in reinforced concrete using deep learning on ultrasonic images's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Automated detection and segmentation of internal defects in reinforced concrete using deep learning on ultrasonic images. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-detection-and-segmentation-of-internal-defects-in-reinforced-concrete-using-deep-learning-on-ultrasonic-images
MLA“Automated detection and segmentation of internal defects in reinforced concrete using deep learning on ultrasonic images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-detection-and-segmentation-of-internal-defects-in-reinforced-concrete-using-deep-learning-on-ultrasonic-images.
BibTeX@misc{4ortxyz_automated-detection-and-segmentation-of-internal-defects-in-reinforced-concrete-using-deep-learning-on-ultrasonic-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated detection and segmentation of internal defects in reinforced concrete using deep learning on ultrasonic images}}, year = {2026}, url = {https://4ort.xyz/entity/automated-detection-and-segmentation-of-internal-defects-in-reinforced-concrete-using-deep-learning-on-ultrasonic-images}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated detection and segmentation of internal defects in reinforced concrete using deep learning on ultrasonic images — https://4ort.xyz/entity/automated-detection-and-segmentation-of-internal-defects-in-reinforced-concrete-using-deep-learning-on-ultrasonic-images (retrieved 2026-05-24)
