A comparative analysis of machine learning models for predicting loess collapse potential S Motameni, F Rostami, S Farzai, A Soroush Geotechnical and Geological Engineering 42 (2), 881-894, 2024 | 12 | 2024 |
A data-driven approach for assessing the wind-induced erodible fractions of soil S Motameni, A Soroush, SM Fattahi, A Eslami Journal of Arid Environments 222, 105152, 2024 | 5 | 2024 |
Using cross-linked polyethylene (XLPE) waste in production of concrete: An experimental study A Nikvar-Hassani, H Chen, S Motameni, C Visnansky, M Lovelady, ... Construction and Building Materials 411, 134261, 2024 | 3 | 2024 |
A Comprehensive Study on Soil Parameters Influencing Collapsibility of Loess through Data Analysis S Motameni, F Rostami, A Soroush ResearchSquare 3394193, 2023 | 1 | 2023 |
Ecofriendly Control of Mine Tailings Dust S Motameni, J Ekholm, L Zhang Geo-EnvironMeet 2025, 282-289, 2025 | | 2025 |
Investigation of Soil Parameters Influencing Collapsibility of Loess through Grey Relational Analysis S Motameni, F Rostami, A Soroush, M Eslami Geotechnical Frontiers 2025, 555-563, 2025 | | 2025 |
Investigation on the setting time improvement of geopolymer cementitious material developed for pumpable roof supports S Motameni, A Nikvar-Hassani, L Zhang ARMA US Rock Mechanics/Geomechanics Symposium 2024, 2024 | | 2024 |