| Predictive modeling for sustainable high-performance concrete from industrial wastes: A comparison and optimization of models using ensemble learners F Farooq, W Ahmed, A Akbar, F Aslam, R Alyousef Journal of Cleaner Production 292, 126032, 2021 | 352 | 2021 |
| Predicting the compressive strength of concrete with fly ash admixture using machine learning algorithms H Song, A Ahmad, F Farooq, KA Ostrowski, M Maślak, S Czarnecki, ... Construction and Building Materials 308, 125021, 2021 | 313 | 2021 |
| A comparative study of random forest and genetic engineering programming for the prediction of compressive strength of high strength concrete (HSC) F Farooq, M Nasir Amin, K Khan, M Rehan Sadiq, MF Javed, F Aslam, ... Applied Sciences 10 (20), 7330, 2020 | 246 | 2020 |
| Geopolymer concrete as sustainable material: A state of the art review F Farooq, X Jin, MF Javed, A Akbar, MI Shah, F Aslam, R Alyousef Construction and Building Materials 306, 124762, 2021 | 240 | 2021 |
| Prediction of compressive strength of fly ash based concrete using individual and ensemble algorithm A Ahmad, F Farooq, P Niewiadomski, K Ostrowski, A Akbar, F Aslam, ... Materials 14 (4), 794, 2021 | 231 | 2021 |
| Applications of gene expression programming for estimating compressive strength of high‐strength concrete F Aslam, F Farooq, MN Amin, K Khan, A Waheed, A Akbar, MF Javed, ... Advances in Civil Engineering 2020 (1), 8850535, 2020 | 200 | 2020 |
| Compressive strength of fly‐ash‐based geopolymer concrete by gene expression programming and random forest MA Khan, SA Memon, F Farooq, MF Javed, F Aslam, R Alyousef Advances in Civil Engineering 2021 (1), 6618407, 2021 | 199 | 2021 |
| Compressive strength prediction via gene expression programming (GEP) and artificial neural network (ANN) for concrete containing RCA A Ahmad, K Chaiyasarn, F Farooq, W Ahmad, S Suparp, F Aslam Buildings 11 (8), 324, 2021 | 179 | 2021 |
| Comparative study of supervised machine learning algorithms for predicting the compressive strength of concrete at high temperature A Ahmad, KA Ostrowski, M Maślak, F Farooq, I Mehmood, A Nafees Materials 14 (15), 4222, 2021 | 170 | 2021 |
| Applications of gene expression programming and regression techniques for estimating compressive strength of bagasse ash based concrete MF Javed, MN Amin, MI Shah, K Khan, B Iftikhar, F Farooq, F Aslam, ... Crystals 10 (9), 737, 2020 | 167 | 2020 |
| Predictive modeling of mechanical properties of silica fume-based green concrete using artificial intelligence approaches: MLPNN, ANFIS, and GEP A Nafees, MF Javed, S Khan, K Nazir, F Farooq, F Aslam, MA Musarat, ... Materials 14 (24), 7531, 2021 | 140 | 2021 |
| Sugarcane bagasse ash-based engineered geopolymer mortar incorporating propylene fibers A Akbar, F Farooq, M Shafique, F Aslam, R Alyousef, H Alabduljabbar Journal of Building Engineering 33, 101492, 2021 | 135 | 2021 |
| Geopolymer concrete compressive strength via artificial neural network, adaptive neuro fuzzy interface system, and gene expression programming with K-fold cross validation MA Khan, A Zafar, F Farooq, MF Javed, R Alyousef, H Alabduljabbar, ... Frontiers in Materials 8, 621163, 2021 | 122 | 2021 |
| New prediction model for the ultimate axial capacity of concrete-filled steel tubes: An evolutionary approach MF Javed, F Farooq, SA Memon, A Akbar, MA Khan, F Aslam, R Alyousef, ... Crystals 10 (9), 741, 2020 | 117 | 2020 |
| A comparative study for the prediction of the compressive strength of self-compacting concrete modified with fly ash F Farooq, S Czarnecki, P Niewiadomski, F Aslam, H Alabduljabbar, ... Materials 14 (17), 4934, 2021 | 109 | 2021 |
| Application of novel machine learning techniques for predicting the surface chloride concentration in concrete containing waste material A Ahmad, F Farooq, KA Ostrowski, K Śliwa-Wieczorek, S Czarnecki Materials 14 (9), 2297, 2021 | 106 | 2021 |
| Experimental investigation of hybrid carbon nanotubes and graphite nanoplatelets on rheology, shrinkage, mechanical, and microstructure of SCCM F Farooq, A Akbar, RA Khushnood, WLB Muhammad, SKU Rehman, ... Materials 13 (1), 230, 2020 | 88 | 2020 |
| Treatment of pulp and paper industrial effluent using physicochemical process for recycling K Mehmood, SKU Rehman, J Wang, F Farooq, Q Mahmood, AM Jadoon, ... Water 11 (11), 2393, 2019 | 69 | 2019 |
| Predictive modelling of sustainable lightweight foamed concrete using machine learning novel approach HS Ullah, RA Khushnood, J Ahmad, F Farooq Journal of Building Engineering 56, 104746, 2022 | 63 | 2022 |
| Simulation of depth of wear of eco-friendly concrete using machine learning based computational approaches MA Khan, F Farooq, MF Javed, A Zafar, KA Ostrowski, F Aslam, ... Materials 15 (1), 58, 2021 | 61 | 2021 |
Fahid AslamAssociate Professor, Prince Sattam bin Abdulaziz UniverstiyPotvrđena adresa e-pošte na psau.edu.sa