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    Pavement Performance Prediction for Continuous Road Sections Considering Spatial Correlation: A Deep Learning–Based Framework 

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 005:;page 04025067-1
    Author(s): Zeng, Qingwei; He, Xinyang; Yang, Shunxin; Cui, Qixuan; Xu, Chang
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe accuracy of pavement performance prediction models directly affects the development of pavement maintenance and rehabilitation (M&R) decision plans. However, existing pavement performance prediction models ...
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    Anomaly Detection and Correction Framework for Pavement Maintenance and Rehabilitation Data Based on LSTM 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2026:;Volume ( 152 ):;issue: 002:;page 04026007-1
    Author(s): Xiao, Feng; Song, Qianhong; Gao, Jie; Yang, Shunxin; Chen, Huapeng
    Publisher: American Society of Civil Engineers
    Abstract: AbstractPavement maintenance and rehabilitation (M&R) data anomalies critically undermine pavement management system (PMS) reliability, yet conventional artificial neural network (ANN)-based correction methods fail to ...
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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