Anomaly Detection and Correction Framework for Pavement Maintenance and Rehabilitation Data Based on LSTM
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Date
2026Author
Xiao, Feng
Song, Qianhong
Gao, Jie
Yang, Shunxin
Chen, Huapeng
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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 ...