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    Anomaly Detection and Correction Framework for Pavement Maintenance and Rehabilitation Data Based on LSTM

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    JPEODX.PVENG-1967.pdf (1.339Mb)
    Date
    2026
    Author
    Xiao, Feng
    Song, Qianhong
    Gao, Jie
    Yang, Shunxin
    Chen, Huapeng
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    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 capture inherent temporal ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4313019
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