Automated corrosion diagnosis of marine concrete-filled steel tubular structures using deep learning-based machine vision
Summary
Automated corrosion diagnosis of marine concrete-filled steel tubular structures using deep learning-based machine vision is a scholarly article[1].
Key Facts
Automated corrosion diagnosis of marine concrete-filled steel tubular structures using deep learning-based machine vision's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Automated corrosion diagnosis of marine concrete-filled steel tubular structures using deep learning-based machine vision. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-corrosion-diagnosis-of-marine-concrete-filled-steel-tubular-structures-using-deep-learning-based-machine-visio
MLA“Automated corrosion diagnosis of marine concrete-filled steel tubular structures using deep learning-based machine vision.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-corrosion-diagnosis-of-marine-concrete-filled-steel-tubular-structures-using-deep-learning-based-machine-visio.
BibTeX@misc{4ortxyz_automated-corrosion-diagnosis-of-marine-concrete-filled-steel-tubular-structures-using-deep-learning-based-machine-visio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated corrosion diagnosis of marine concrete-filled steel tubular structures using deep learning-based machine vision}}, year = {2026}, url = {https://4ort.xyz/entity/automated-corrosion-diagnosis-of-marine-concrete-filled-steel-tubular-structures-using-deep-learning-based-machine-visio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated corrosion diagnosis of marine concrete-filled steel tubular structures using deep learning-based machine vision — https://4ort.xyz/entity/automated-corrosion-diagnosis-of-marine-concrete-filled-steel-tubular-structures-using-deep-learning-based-machine-visio (retrieved 2026-05-24)