| Prediction of the shear modulus of municipal solid waste (MSW): An application of machine learning techniques P Alidoust, M Keramati, P Hamidian, AT Amlashi, MM Gharehveran, ... Journal of Cleaner Production 303, 127053, 2021 | 37 | 2021 |
| Introduction of a novel evolutionary neural network for evaluating the compressive strength of concretes: A case of Rice Husk Ash concrete P Hamidian, P Alidoust, EM Golafshani, KP Niavol, A Behnood Journal of Building Engineering 61, 105293, 2022 | 18 | 2022 |
| Optimized prediction models for faulting failure of Jointed Plain concrete pavement using the metaheuristic optimization algorithms M Ehsani, P Hamidian, P Hajikarimi, FM Nejad Construction and Building Materials 364, 129948, 2023 | 10 | 2023 |
| A hybrid approach of ANN and improved PSO for estimating soaked CBR of subgrade soils of heavy-haul railway corridor A Bardhan, AK Alzo'ubi, S Palanivelu, P Hamidian, A GuhaRay, G Kumar, ... International Journal of Pavement Engineering 24 (1), 2176494, 2023 | 8 | 2023 |
| A comparative machine learning approach for entropy-based damage detection using output-only correlation signal P Hamidian, YJ Soofi, M Bitaraf Journal of Civil Structural Health Monitoring 12 (5), 975-990, 2022 | 8 | 2022 |
| Evaluation of the mechanical behaviour of cement-stabilised collapsible soils treated with natural fibres F Sabbaqzade, M Keramati, H Moradi Moghaddam, P Hamidian Geomechanics and Geoengineering 17 (6), 1735-1750, 2022 | 7 | 2022 |
| Predicting the small strain shear modulus of sands and sand-fines binary mixtures using machine learning algorithms N Khodkari, P Hamidian, H Khodkari, M Payan, A Behnood Transportation Geotechnics 44, 101172, 2024 | 2 | 2024 |
Ali BehnoodAssistant Professor, University of MississippiVerified email at olemiss.edu
