Author:
Sebbeh-Newton Sylvanus,Seidu Jamel,Ankah Mawuko Luke Yaw,Ewusi-Wilson Rodney,Zabidi Hareyani,Amakye Louis
Publisher
Springer Science and Business Media LLC
Reference35 articles.
1. Ayawah PEA, Sebbeh-Newton S, Azure JWA, Kaba AGA, Anani A, Bansah S, Zabidi H (2022) A review and case study of Artificial intelligence and machine learning methods used for ground condition prediction ahead of tunnel boring machines. Tunn Undergr Space Technol 125:104497. https://doi.org/10.1016/J.TUST.2022.104497
2. Bramer M (2016) Introduction to Data Mining. https://doi.org/10.1007/978-1-4471-7307-6_1
3. Breiman L (2001) Random forests. Mach Learn. https://doi.org/10.1023/A:1010933404324
4. Eng SK, He B, Monjezi M, Bhatawdekar RM (2023) An Artificial Intelligence Approach for tunnel construction performance. J Soft Comput Civil Eng, 7(2)
5. Erharter GH, Marcher T (2020) MSAC: towards data driven system behavior classification for TBM tunneling. Tunn Undergr Space Technol 103:103466