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An integrated underwater structural multi-defects automatic identification and quantification framework for hydraulic tunnel via machine vision and deep learning
Research article (Structural Health Monitoring, 2022) · cited 37× · AI/ML
An integrated underwater structural multi-defects automatic identification and quantification framework for hydraulic tunnel via machine vision and deep learning
Summary
An integrated underwater structural multi-defects automatic identification and quantification framework for hydraulic tunnel via machine vision and deep learning is a scholarly article[1].
Key Facts
An integrated underwater structural multi-defects automatic identification and quantification framework for hydraulic tunnel via machine vision and deep learning's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). An integrated underwater structural multi-defects automatic identification and quantification framework for hydraulic tunnel via machine vision and deep learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-integrated-underwater-structural-multi-defects-automatic-identification-and-quantification-framework-for-hydraulic-tu
MLA“An integrated underwater structural multi-defects automatic identification and quantification framework for hydraulic tunnel via machine vision and deep learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-integrated-underwater-structural-multi-defects-automatic-identification-and-quantification-framework-for-hydraulic-tu.
BibTeX@misc{4ortxyz_an-integrated-underwater-structural-multi-defects-automatic-identification-and-quantification-framework-for-hydraulic-tu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An integrated underwater structural multi-defects automatic identification and quantification framework for hydraulic tunnel via machine vision and deep learning}}, year = {2026}, url = {https://4ort.xyz/entity/an-integrated-underwater-structural-multi-defects-automatic-identification-and-quantification-framework-for-hydraulic-tu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An integrated underwater structural multi-defects automatic identification and quantification framework for hydraulic tunnel via machine vision and deep learning — https://4ort.xyz/entity/an-integrated-underwater-structural-multi-defects-automatic-identification-and-quantification-framework-for-hydraulic-tu (retrieved 2026-05-24)
