Optimized CNN-BiLSTM-Attention with hybrid signal denoising: a novel interpretable framework for prediction of shield tunneling advance speed

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Authors: Wei Jin, Kangping Gao, Chengyao Liu
Cited by: 3
References: 43

Fields of Study & Subjects

Tunneling and Rock Mechanics Geotechnical Engineering and Analysis Orthopaedic implants and arthroplasty

Publication details

Journal / source
Tunnelling and Underground Space Technology
Publisher
Elsevier BV
Volume
171
Pages
107471–107471
Publication date
28 January 2026
Language
EN