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    Addressing Data Scarcity in GPR Road Defect Detection: A Novel Framework Combining Stable Diffusion and Efficient GCP-YOLO 

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005:;page 04026073-1
    Author(s): Cui, Minxing; Du, Yanliang; Wu, Difei; Sun, Lijun; Yan, Yu
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe application of deep learning to ground penetrating radar (GPR) detection of urban road subsurface defects is often limited by the scarcity of real-world data and high computational costs. To address this, we ...
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    A Framework for Asphalt Pavement Surface Homogeneity Evaluation Based on 3D Texture Feature Distribution 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2025:;Volume ( 151 ):;issue: 004:;page 04025050-1
    Author(s): Weng, Zihang; Du, Yuchuan; Wu, Difei; Liu, Chenglong; He, Yulin
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe surface homogeneity of asphalt pavements is a significant reference for construction quality and long-term performance. However, existing indicators focus primarily on the structural or surface properties of ...
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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
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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