Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite AA Shahmansouri, M Yazdani, S Ghanbari, H Akbarzadeh Bengar, ... Journal of Cleaner Production 279, 123697, 2021 | 329 | 2021 |
Compressive strength prediction of eco-efficient GGBS-based geopolymer concrete using GEP method AA Shahmansouri, H Akbarzadeh Bengar, S Ghanbari Journal of Building Engineering 31, 101326, 2020 | 257 | 2020 |
Experimental investigation and predictive modeling of compressive strength of pozzolanic geopolymer concrete using gene expression programming AA Shahmansouri, H Akbarzadeh Bengar, S Ghanbari Journal of Concrete Structures and Materials 5 (1), 92-117, 2020 | 34 | 2020 |
Compressive strength prediction of high-strength oil palm shell lightweight aggregate concrete using machine learning methods S Ghanbari, AA Shahmansouri, H Akbarzadeh Bengar, A Jafari Environmental Science and Pollution Research 30 (1), 1096-1115, 2023 | 32 | 2023 |
Compressive strength prediction of ecoefficient GGBS-based geopolymer concrete using GEP method. J Build Eng 2020; 31: 101326 AA Shahmansouri, H Akbarzadeh Bengar, S Ghanbari | 5 | 2020 |
High-Resolution Annotated Concrete Column Images for Object Detection S Ghanbari, H Ramezani, B Nasihatkon, N Sadeghi https://data.mendeley.com/datasets/rknjxtg2vn/1, 2024 | | 2024 |