| ANN prediction of cement mortar compressive strength, influence of cement strength class H Eskandari-Naddaf, R Kazemi Construction and Building Materials 138, 1-11, 2017 | 150 | 2017 |
| Experimental evaluation of the effect of mix design ratios on compressive strength of cement mortars containing cement strength class 42.5 and 52.5 MPa H Eskandari-Naddaf, R Kazemi Procedia Manufacturing 22, 392-398, 2018 | 31 | 2018 |
| Effect of cement strength class on the generalization of Abrams' law A Kargari, H Eskandari‐Naddaf, R Kazemi Structural Concrete, 2018 | 30 | 2018 |
| Designing, proposing and comparing the methods predicting the compressive strength of the ferro cement mortar H Eskandari, M Azimi-Pour, R Kazemi Concrete Research Letters 6 (1), 1-10, 2015 | 19 | 2015 |
| Hybrid artificial neural network with biogeography-based optimization to assess the role of cement fineness on ecological footprint and mechanical properties of cement mortar … T Korouzhdeh, H Eskandari-Naddaf, R Kazemi Construction and Building Materials 304, 124589, 2021 | 15 | 2021 |
| The ITZ microstructure, thickness, porosity and its relation with compressive and flexural strength of cement mortar; influence of cement fineness and water/cement ratio T Korouzhdeh, H Eskandari-Naddaf, R Kazemi Frontiers of Structural and Civil Engineering 16 (2), 191-201, 2022 | 14 | 2022 |
| Artificial intelligence techniques in advanced concrete technology: A comprehensive survey on 10 years research trend R Kazemi Engineering Reports 5 (9), e12676, 2023 | 8 | 2023 |
| New insight into the prediction of strength properties of cementitious mortar containing nano- and micro-silica based on porosity using hybrid artificial intelligence techniques R Kazemi, H Eskandari-Naddaf, T Korouzhdeh Structural Concrete, 2023 | 8 | 2023 |
| The properties of cement-mortar at different cement strength classes: experimental study and multi-objective modeling R Kazemi, R Shadnia, H Eskandari-Naddaf, L Zhang Arabian Journal for Science and Engineering 47 (10), 13381-13396, 2022 | 6 | 2022 |
| Towards sustainable use of foundry by-products: Evaluating the compressive strength of green concrete containing waste foundry sand using hybrid biogeography-based optimization … R Kazemi, MZ Naser Journal of Building Engineering 76, 107252, 2023 | 5 | 2023 |
| Compressive strength prediction of sustainable concrete containing waste foundry sand using metaheuristic optimization-based hybrid artificial neural network R Kazemi, EM Golafshani, A Behnood Structural Concrete, 2023 | 2 | 2023 |
| Evaluating the rapid chloride permeability of self-compacting concrete containing fly ash and silica fume exposed to different temperatures: An artificial intelligence framework R Kazemi, A Gholampour Construction and Building Materials 409, 133835, 2023 | 1 | 2023 |
| Bearing capacity evaluation of footings on single layer of sand by finite element method M Lezgy-Nazargah, R Kazemi 2th national conference on soil mechanics and foundation engineering, Iran, 2015 | | 2015 |
| Reinforced mechanical properties of silty soil using polymer polyvinyl acetate GR Tadayonfar, R Kazemi, V Tadayonfar 1th national conference on soil mechanics and foundation engineering, Iran, 2014 | | 2014 |
| Modified silty soil permeability using polymer polyvinyl acetate GR Tadayonfar, V Tadayonfar, R Kazemi 1th national conference on soil mechanics and foundation engineering, Iran, 2014 | | 2014 |
M.Z. Naser, PhD, PESchool of Civil and Enviro. Engg & Earth Sciences/AI Research Institute for Science & EngineeringVerified email at clemson.edu
