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    Physics-Based Analysis and Data-Driven Detection of Artificial Intelligence–Generated Surface Crack Images for Civil Infrastructure Monitoring 

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001:;page 04025120-1
    Author(s): Bazrafshan, Pedram; Ebrahimkhanlou, Arvin
    Publisher: American Society of Civil Engineers
    Abstract: AbstractGenerative artificial intelligence (AI) is transforming the condition assessment of civil infrastructures, creating both opportunities and challenges. This paper aims to address challenges related to the authenticity ...
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    Vision-Based Quantification of Stiffness Degradation in Reinforced Concrete Shear Walls Using Graph-Based Surface Crack Features and Machine Learning 

    Source: Journal of Structural Engineering:;2026:;Volume ( 152 ):;issue: 005:;page 04026047-1
    Author(s): Bazrafshan, Pedram; Osan, Rhythm; Ebrahimkhanlou, Arvin
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe rapid and accurate assessment of structural damage in reinforced concrete shear walls (RCSWs) following seismic events remains a critical yet unresolved challenge in structural engineering. Current methods rely ...
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    DSpace software copyright © 2002-2015  DuraSpace
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian