| Prediction of the resilient modulus of flexible pavement subgrade soils using adaptive neuro-fuzzy inference systems E Sadrossadat, A Heidaripanah, S Osouli Construction and Building Materials 123, 235-247, 2016 | 91 | 2016 |
| Explicit formulation of bearing capacity of shallow foundations on rock masses using artificial neural networks: application and supplementary studies SA Ziaee, E Sadrossadat, AH Alavi, D Mohammadzadeh Shadmehri Environmental earth sciences 73, 3417-3431, 2015 | 55 | 2015 |
| New design equations for estimation of ultimate bearing capacity of shallow foundations resting on rock masses AH Alavi, E Sadrossadat Geoscience Frontiers 7 (1), 91-99, 2016 | 53 | 2016 |
| Development of ECO-UHPC utilizing gold mine tailings as quartz sand alternative T Ahmed, M Elchalakani, H Basarir, A Karrech, E Sadrossadat, B Yang Cleaner Engineering and Technology 4, 100176, 2021 | 51 | 2021 |
| Numerical ANFIS-Based Formulation for Prediction of the Ultimate Axial Load Bearing Capacity of Piles Through CPT Data B Ghorbani, E Sadrossadat, JB Bazaz, PR Oskooei Geotechnical and Geological Engineering, 1-20, 2018 | 50 | 2018 |
| Multi-objective mixture design of cemented paste backfill using particle swarm optimisation algorithm E Sadrossadat, H Basarir, G Luo, A Karrech, R Durham, A Fourie, ... Minerals Engineering 153, 106385, 2020 | 44 | 2020 |
| Indirect estimation of the ultimate bearing capacity of shallow foundations resting on rock masses S Tajeri, E Sadrossadat, JB Bazaz International Journal of Rock Mechanics and Mining Sciences 80, 107-117, 2015 | 43 | 2015 |
| Towards application of linear genetic programming for indirect estimation of the resilient modulus of pavements subgrade soils E Sadrossadat, A Heidaripanah, B Ghorbani Road Materials and Pavement Design 19 (1), 139-153, 2018 | 42 | 2018 |
| Numerical formulation of confined compressive strength and strain of circular reinforced concrete columns using gene expression programming approach E Sadrossadat, B Ghorbani, M Hamooni, M Sheikhkanloo, H Mohammad Structural Concrete, 2017 | 41 | 2017 |
| Multi-objective mixture design and optimisation of steel fiber reinforced UHPC using machine learning algorithms and metaheuristics E Sadrossadat, H Basarir, A Karrech, M Elchalakani Engineering with Computers 38 (Suppl 3), 2569-2582, 2022 | 36 | 2022 |
| A new design equation for prediction of ultimate bearing capacity of shallow foundation on granular soils E Sadrossadat, F Soltani, SM Mousavi, SM Marandi, AH Alavi Journal of Civil Engineering and Management 19 (sup1), S78-S90, 2013 | 28 | 2013 |
| Use of adaptive neuro-fuzzy inference system and gene expression programming methods for estimation of the bearing capacity of rock foundations E Sadrossadat, B Ghorbani, R Oskooei, M Kaboutari Engineering Computations 35 (5), 2078-2106, 2018 | 26 | 2018 |
| An Evolutionary-Based Prediction Model of the 28-Day Compressive Strength of High-Performance Concrete Containing Cementitious Materials E Sadrossadat, H Basarir Advances in Civil Engineering Materials 8 (3), 2019 | 19 | 2019 |
| Predictive modelling of the MR of subgrade cohesive soils incorporating CPT-related parameters through a soft-computing approach E Sadrossadat, B Ghorbani, B Zohourian, M Kaboutari, ... Road Materials and Pavement Design 21 (3), 701-719, 2020 | 17 | 2020 |
| New empirical formulations for indirect estimation of peak-confined compressive strength and strain of circular RC columns using LGP method MF Rostami, E Sadrossadat, B Ghorbani, SM Kazemi Engineering with Computers, 1-16, 2018 | 17 | 2018 |
| The optimization of cemented hydraulic backfill mixture design parameters for different strength conditions using artificial intelligence algorithms E Sadrossadat, H Basarir, A Karrech, R Durham, A Fourie, H Bin Proceedings of the 28th International Symposium on Mine Planning and …, 2020 | 11 | 2020 |
| New design equations for estimation of ultimate bearing capacity of shallow foundations resting on rock masses. Geosci Front 7 (1): 91–99 AH Alavi, E Sadrossadat | 8 | 2016 |
| An engineered ML model for prediction of the compressive strength of Eco-SCC based on type and proportions of materials E Sadrossadat, H Basarir, A Karrech, M Elchalakani Cleaner Materials 4, 100072, 2022 | 7 | 2022 |
| Innovative AI-based multi-objective mixture design optimisation of CPB considering properties of tailings and cement E Sadrossadat, H Basarir, A Karrech, M Elchalakani International Journal of Mining, Reclamation and Environment 37 (2), 110-126, 2023 | 3 | 2023 |
| An Effective Scheme for Maize Disease Recognition based on Deep Networks S Osouli, BB Haghighi, E Sadrossadat arXiv preprint arXiv:2205.04234, 2022 | 1 | 2022 |
Hakan BasarirNorwegian University of Science and TechnologyVerified email at ntnu.no
