An UAV-based machine vision method for bridge crack recognition and width quantification through hybrid feature learning
Summary
An UAV-based machine vision method for bridge crack recognition and width quantification through hybrid feature learning is a scholarly article[1].
Key Facts
An UAV-based machine vision method for bridge crack recognition and width quantification through hybrid feature learning's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A UAV-based machine vision method for bridge crack recognition and width quantification through hybrid feature learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-uav-based-machine-vision-method-for-bridge-crack-recognition-and-width-quantification-through-hybrid-feature-learning
MLA“A UAV-based machine vision method for bridge crack recognition and width quantification through hybrid feature learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-uav-based-machine-vision-method-for-bridge-crack-recognition-and-width-quantification-through-hybrid-feature-learning.
BibTeX@misc{4ortxyz_a-uav-based-machine-vision-method-for-bridge-crack-recognition-and-width-quantification-through-hybrid-feature-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A UAV-based machine vision method for bridge crack recognition and width quantification through hybrid feature learning}}, year = {2026}, url = {https://4ort.xyz/entity/a-uav-based-machine-vision-method-for-bridge-crack-recognition-and-width-quantification-through-hybrid-feature-learning}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A UAV-based machine vision method for bridge crack recognition and width quantification through hybrid feature learning — https://4ort.xyz/entity/a-uav-based-machine-vision-method-for-bridge-crack-recognition-and-width-quantification-through-hybrid-feature-learning (retrieved 2026-05-24)