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    Enhanced Structural Damage Detection, Segmentation, and Quantification Using Computer Vision and Deep Learning 

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 005:;page 04025066-1
    Author(s): Meda, Dhathri; Ahmed, Mohammed Mustafa; Kalapatapu, Prafulla; Pasupuleti, Venkata Dilip Kumar
    Publisher: American Society of Civil Engineers
    Abstract: AbstractIn infrastructure monitoring, manual inspections and conventional computer vision techniques have long been the standard for detecting structural damage. Nevertheless, these approaches are frequently constrained ...
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