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    Optimized Pavement Crack Segmentation with Low Computational Cost Using Fusion-Enhanced Attention U-Net 

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 004:;page 04026041-1
    Author(s): Mohammed, Mohammed Ameen; Han, Zheng; Li, Yange; Al-Huda, Zaid; Wang, Weidong
    Publisher: American Society of Civil Engineers
    Abstract: AbstractAccurate segmentation of pavement cracks is crucial for maintaining road safety and the longevity of road infrastructures. Existing convolutional neural network (CNN) models often struggle with the noise and irregular ...
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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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