Post‐earthquake damage recognition and condition assessment of bridges using UAV integrated with deep learning approach
Summary
Post‐earthquake damage recognition and condition assessment of bridges using UAV integrated with deep learning approach is a scholarly article[1].
Key Facts
Post‐earthquake damage recognition and condition assessment of bridges using UAV integrated with deep learning approach's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Post‐earthquake damage recognition and condition assessment of bridges using UAV integrated with deep learning approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/postearthquake-damage-recognition-and-condition-assessment-of-bridges-using-uav-integrated-with-deep-learning-approach
MLA“Post‐earthquake damage recognition and condition assessment of bridges using UAV integrated with deep learning approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/postearthquake-damage-recognition-and-condition-assessment-of-bridges-using-uav-integrated-with-deep-learning-approach.
BibTeX@misc{4ortxyz_postearthquake-damage-recognition-and-condition-assessment-of-bridges-using-uav-integrated-with-deep-learning-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Post‐earthquake damage recognition and condition assessment of bridges using UAV integrated with deep learning approach}}, year = {2026}, url = {https://4ort.xyz/entity/postearthquake-damage-recognition-and-condition-assessment-of-bridges-using-uav-integrated-with-deep-learning-approach}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Post‐earthquake damage recognition and condition assessment of bridges using UAV integrated with deep learning approach — https://4ort.xyz/entity/postearthquake-damage-recognition-and-condition-assessment-of-bridges-using-uav-integrated-with-deep-learning-approach (retrieved 2026-05-24)