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Employing a U-net convolutional neural network for segmenting impact damages in optical lock-in thermography images of CFRP plates
Research article (Nondestructive Testing And Evaluation, 2020) · cited 47× · AI/ML
Employing an U-net convolutional neural network for segmenting impact damages in optical lock-in thermography images of CFRP plates
Summary
Employing an U-net convolutional neural network for segmenting impact damages in optical lock-in thermography images of CFRP plates is a scholarly article[1].
Key Facts
Employing an U-net convolutional neural network for segmenting impact damages in optical lock-in thermography images of CFRP plates's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Employing a U-net convolutional neural network for segmenting impact damages in optical lock-in thermography images of CFRP plates. Retrieved May 24, 2026, from https://4ort.xyz/entity/employing-a-u-net-convolutional-neural-network-for-segmenting-impact-damages-in-optical-lock-in-thermography-images-of-c
MLA“Employing a U-net convolutional neural network for segmenting impact damages in optical lock-in thermography images of CFRP plates.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/employing-a-u-net-convolutional-neural-network-for-segmenting-impact-damages-in-optical-lock-in-thermography-images-of-c.
BibTeX@misc{4ortxyz_employing-a-u-net-convolutional-neural-network-for-segmenting-impact-damages-in-optical-lock-in-thermography-images-of-c_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Employing a U-net convolutional neural network for segmenting impact damages in optical lock-in thermography images of CFRP plates}}, year = {2026}, url = {https://4ort.xyz/entity/employing-a-u-net-convolutional-neural-network-for-segmenting-impact-damages-in-optical-lock-in-thermography-images-of-c}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Employing a U-net convolutional neural network for segmenting impact damages in optical lock-in thermography images of CFRP plates — https://4ort.xyz/entity/employing-a-u-net-convolutional-neural-network-for-segmenting-impact-damages-in-optical-lock-in-thermography-images-of-c (retrieved 2026-05-24)
