| Prediction of mechanical properties of recycled aggregate fly ash concrete employing machine learning algorithms M Hosseinzadeh, M Dehestani, A Hosseinzadeh Journal of Building Engineering 76, 107006, 2023 | 27 | 2023 |
| Three-dimensional multiscale simulations of recycled aggregate concrete employing energy homogenization and finite element approaches M Hosseinzadeh, M Dehestani, E Alizadeh Construction and Building Materials 328, 127110, 2022 | 17 | 2022 |
| Exploring elastic properties of fly ash recycled aggregate concrete: Insights from multiscale modeling and machine learning M Hosseinzadeh, M Dehestani, A Hosseinzadeh Structures 59, 105720, 2024 | 8 | 2024 |
| An efficient machine learning approach for predicting concrete chloride resistance using a comprehensive dataset M Hosseinzadeh, SS Mousavi, A Hosseinzadeh, M Dehestani Scientific Reports 13 (1), 15024, 2023 | 8 | 2023 |
| A comprehensive quantitative bottom-up analysis of fiber-reinforced recycled-aggregate concrete behavior M Hosseinzadeh, M Dehestani, H Samadvand Scientific Reports 13 (1), 4502, 2023 | 5 | 2023 |
| Concrete strength and durability prediction through deep learning and artificial neural networks M Hosseinzadeh, H Samadvand, A Hosseinzadeh, SS Mousavi, ... Frontiers of Structural and Civil Engineering, 1-16, 2024 | | 2024 |
| An ensemble learning-based prediction model for the compressive strength degradation of concrete containing superabsorbent polymers (SAP) M Hosseinzadeh, SS Mousavi, M Dehestani Scientific Reports 14 (1), 18535, 2024 | | 2024 |
Mehdi DehestaniProfessor, Babol Noshirvani University of TechnologyVerified email at nit.ac.ir
