Dynamic prediction for attitude and position of shield machine in tunneling: A hybrid deep learning method considering dual attention
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Information Systems,Building and Construction
Reference68 articles.
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1. A causal-temporal graphic convolutional network (CT-GCN) approach for TBM load prediction in tunnel excavation;Expert Systems with Applications;2024-03
2. Attitude deviation prediction of shield tunneling machine using Time-Aware LSTM networks;Transportation Geotechnics;2024-03
3. Autonomous steering control for tunnel boring machines;Automation in Construction;2024-03
4. Safety risk assessment of subway shield construction under-crossing a river using CFA and FER;Frontiers in Public Health;2024-02-02
5. Data-driven predictions of shield attitudes using Bayesian machine learning;Computers and Geotechnics;2024-02
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