A review of recent advances in data-driven computer vision methods for structural damage evaluation: algorithms, applications, challenges, and future opportunities.

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Title: A review of recent advances in data-driven computer vision methods for structural damage evaluation: algorithms, applications, challenges, and future opportunities.
Authors: Pan, Xiao1,2, cexiaopan@ust.hk, Yang, Tony T. Y.2, yang@civil.ubc.ca, Li, Jun3, Ventura, Carlos2, Málaga-Chuquitaype, Christian4, Li, Chaobin5, Su, Ray Kai Leung5, Brzev, Svetlana2
Source: Archives of Computational Methods in Engineering; Oct2025, Vol. 32 Issue 7, p4587-4619, 33p
Database: Applied Science & Technology Source
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An: 188548475
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  Data: A review of recent advances in data-driven computer vision methods for structural damage evaluation: algorithms, applications, challenges, and future opportunities.
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  Data: <searchLink fieldCode="JN" term="%22Archives+of+Computational+Methods+in+Engineering%22">Archives of Computational Methods in Engineering</searchLink>; Oct2025, Vol. 32 Issue 7, p4587-4619, 33p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188548475
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11831-025-10279-8
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      – Code: eng
        Text: English
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        PageCount: 33
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      – TitleFull: A review of recent advances in data-driven computer vision methods for structural damage evaluation: algorithms, applications, challenges, and future opportunities.
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            NameFull: Pan, Xiao
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            – D: 01
              M: 10
              Text: Oct2025
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              Y: 2025
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