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Computer vision-based crack width identification using F-CNN model and pixel nonlinear calibration

Research article (Structure and Infrastructure Engineering, 2021) · cited 21× · AI/ML
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Computer vision-based crack width identification using F-CNN model and pixel nonlinear calibration

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Computer vision-based crack width identification using F-CNN model and pixel nonlinear calibration is a scholarly article[1].

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  • Computer vision-based crack width identification using F-CNN model and pixel nonlinear calibration's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Computer vision-based crack width identification using F-CNN model and pixel nonlinear calibration. Retrieved May 24, 2026, from https://4ort.xyz/entity/computer-vision-based-crack-width-identification-using-f-cnn-model-and-pixel-nonlinear-calibration
MLA “Computer vision-based crack width identification using F-CNN model and pixel nonlinear calibration.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/computer-vision-based-crack-width-identification-using-f-cnn-model-and-pixel-nonlinear-calibration.
BibTeX @misc{4ortxyz_computer-vision-based-crack-width-identification-using-f-cnn-model-and-pixel-nonlinear-calibration_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Computer vision-based crack width identification using F-CNN model and pixel nonlinear calibration}}, year = {2026}, url = {https://4ort.xyz/entity/computer-vision-based-crack-width-identification-using-f-cnn-model-and-pixel-nonlinear-calibration}, note = {Accessed: 2026-05-24}}
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