A spatiotemporal recurrent neural network for missing data imputation in tunnel monitoring

Given the swift proliferation of structural health monitoring (SHM) technology within tunnel engineering, there is a demand on proficiently and precisely imputing the missing monitoring data to uphold the precision of disaster prediction. In contrast to other SHM datasets, the monitoring data specif...

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Bibliographic Details

Published in:	Journal of Rock Mechanics and Geotechnical Engineering
Main Authors:	Junchen Ye, Yuhao Mao, Ke Cheng, Xuyan Tan, Bowen Du, Weizhong Chen
Format:	Article
Language:	English
Published:	Elsevier 2025-08-01
Subjects:	Monitoring Tunnel Machine learning Interpolation Missing data
Online Access:	http://www.sciencedirect.com/science/article/pii/S167477552400533X