| A review and case study of Artificial intelligence and Machine learning methods used for ground condition prediction ahead of tunnel boring Machines PEA Ayawah, S Sebbeh-Newton, JWA Azure, AGA Kaba, A Anani, ... Tunnelling and Underground Space Technology 125, 104497, 2022 | 35 | 2022 |
| Towards TBM automation: on-the-fly characterization and classification of ground conditions ahead of a TBM using data-driven approach S Sebbeh-Newton, PEA Ayawah, JWA Azure, AGA Kaba, F Ahmad, ... Applied Sciences 11 (3), 1060, 2021 | 25 | 2021 |
| Application of artificial intelligence techniques for identifying rock mass quality in an underground tunnel S Sebbeh-Newton, HB Zabidi International Journal of Mining and Mineral Engineering 12 (2), 132-148, 2021 | 2 | 2021 |
| Analytical and numerical assessment of a preliminary support design–a case study S Sebbeh-Newton, S Abdulazeez Shehu, P Ayawah, AA Kaba, H Zabidi Cogent Engineering 8 (1), 1869367, 2021 | 2 | 2021 |
| Prediction of rock mass rating using adaptive neuro-fuzzy inference system (ANFIS) for NATM-3 of Pahang-Selangor raw water transfer tunnel (PSRWT) project, Malaysia S Sebbeh-Newton, S Ismail, H Zabidi AIP Conference Proceedings 2267 (1), 2020 | 1 | 2020 |
