Follow
Sahand Motameni
Title
Cited by
Cited by
Year
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
52024
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
32024
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
2024
A Comprehensive Study on Soil Parameters Influencing Collapsibility of Loess through Data Analysis
S Motameni, F Rostami, A Soroush
ResearchSquare 3394193, 2023
2023
Statistical Study of Soil Properties Affecting Wind Erosion
S Motameni
M.Sc. Thesis, Amirkabir University of Technology, Tehran, Iran, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–5