Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events

Research article (Structural Health Monitoring, 2022) · cited 40× · AI/ML
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Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events

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Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events is a scholarly article[1].

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  • Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events. Retrieved May 24, 2026, from https://4ort.xyz/entity/engineering-deep-learning-methods-on-automatic-detection-of-damage-in-infrastructure-due-to-extreme-events
MLA “Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/engineering-deep-learning-methods-on-automatic-detection-of-damage-in-infrastructure-due-to-extreme-events.
BibTeX @misc{4ortxyz_engineering-deep-learning-methods-on-automatic-detection-of-damage-in-infrastructure-due-to-extreme-events_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events}}, year = {2026}, url = {https://4ort.xyz/entity/engineering-deep-learning-methods-on-automatic-detection-of-damage-in-infrastructure-due-to-extreme-events}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events — https://4ort.xyz/entity/engineering-deep-learning-methods-on-automatic-detection-of-damage-in-infrastructure-due-to-extreme-events (retrieved 2026-05-24)

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