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