A machine learning model to predict unconfined compressive strength of alkali-activated slag-based cemented paste backfill CB Arachchilage, C Fan, J Zhao, G Huang, WV Liu Journal of Rock Mechanics and Geotechnical Engineering 15 (11), 2803-2815, 2023 | 21 | 2023 |
Assessment of significant geotechnical parameters for lunar regolith excavations B Jayathilake, I Ilankoon, MNP Dushyantha Acta Astronautica 196, 107-122, 2022 | 15 | 2022 |
Forecasting unconfined compressive strength of calcium sulfoaluminate cement mixtures using ensemble machine learning techniques integrated with shapely-additive explanations CB Arachchilage, G Huang, C Fan, WV Liu Construction and Building Materials 409, 134083, 2023 | 4 | 2023 |
Machine learning with SHapley additive exPlanations for evaluating mine truck productivity under real-site weather conditions at varying temporal resolutions C Fan, CB Arachchilage, N Zhang, B Jiang, WV Liu International Journal of Mining, Reclamation and Environment, 1-23, 2024 | 1 | 2024 |
Extraction of Copper from Seruwila Copper Magnetite Deposit C Jayathilake, S Rohitha, K Dissanayake, I Rushan, K Dilshan 2020 Moratuwa Engineering Research Conference (MERCon), 526-530, 2020 | | 2020 |