| Fiber reinforced concrete: a review M Anas, M Khan, H Bilal, S Jadoon, MN Khan Engineering Proceedings 22 (1), 3, 2022 | 61 | 2022 |
| Predicting ultra-high-performance concrete compressive strength using gene expression programming method H Alabduljabbar, M Khan, HH Awan, SM Eldin, R Alyousef, AM Mohamed Case Studies in Construction Materials 18, e02074, 2023 | 57 | 2023 |
| Predictive modeling for compressive strength of 3D printed fiber-reinforced concrete using machine learning algorithms M Alyami, M Khan, M Fawad, R Nawaz, AWA Hammad, T Najeh, Y Gamil Case Studies in Construction Materials 20, e02728, 2024 | 56 | 2024 |
| Evaluation of water quality indexes with novel machine learning and SHapley Additive ExPlanation (SHAP) approaches A Aldrees, M Khan, ATB Taha, M Ali Journal of Water Process Engineering 58, 104789, 2024 | 55 | 2024 |
| Development of predictive models for sustainable concrete via genetic programming-based algorithms L Chen, Z Wang, AA Khan, M Khan, MF Javed, A Alaskar, SM Eldin Journal of Materials Research and Technology 24, 6391-6410, 2023 | 46 | 2023 |
| Machine learning-driven predictive models for compressive strength of steel fiber reinforced concrete subjected to high temperatures R Alyousef, MF Rehman, M Khan, M Fawad, AU Khan, AM Hassan, ... Case Studies in Construction Materials 19, e02418, 2023 | 43 | 2023 |
| Estimating compressive strength of concrete containing rice husk ash using interpretable machine learning-based models M Alyami, M Khan, AWA Hammad, H Alabduljabbar, R Nawaz, M Fawad, ... Case Studies in Construction Materials 20, e02901, 2024 | 38 | 2024 |
| Optimizing durability assessment: Machine learning models for depth of wear of environmentally-friendly concrete M Khan, AU Khan, M Houda, C El Hachem, M Rasheed, W Anwar Results in Engineering 20, 101625, 2023 | 35 | 2023 |
| Towards sustainable construction: Machine learning based predictive models for strength and durability characteristics of blended cement concrete M Khan, MF Javed Materials Today Communications 37, 107428, 2023 | 35 | 2023 |
| Forecasting the strength characteristics of concrete incorporating waste foundry sand using advance machine algorithms including deep learning R Alyousef, M Khan, K Arif, M Fawad, AM Hassan, NA Ghamry Case Studies in Construction Materials 19, e02459, 2023 | 29 | 2023 |
| Forecasting the strength of graphene nanoparticles-reinforced cementitious composites using ensemble learning algorithms M Khan, W Anwar, M Rasheed, T Najeh, Y Gamil, F Farooq Results in Engineering 21, 101837, 2024 | 27 | 2024 |
| Application of metaheuristic optimization algorithms in predicting the compressive strength of 3D-printed fiber-reinforced concrete M Alyami, M Khan, MF Javed, M Ali, H Alabduljabbar, T Najeh, Y Gamil Developments in the Built Environment 17, 100307, 2024 | 26 | 2024 |
| Predictive modeling for depth of wear of concrete modified with fly ash: A comparative analysis of genetic programming-based algorithms A Khan, M Khan, M Ali, M Khan, AU Khan, M Shakeel, M Fawad, T Najeh, ... Case Studies in Construction Materials 20, e02744, 2024 | 24 | 2024 |
| A review on fiber-reinforced foam concrete M Khan, M Shakeel, K Khan, S Akbar, A Khan Engineering Proceedings 22 (1), 13, 2022 | 24 | 2022 |
| Intelligent prediction modeling for flexural capacity of FRP-strengthened reinforced concrete beams using machine learning algorithms M Khan, A Khan, AU Khan, M Shakeel, K Khan, H Alabduljabbar, T Najeh, ... Heliyon 10 (1), 2024 | 22 | 2024 |
| Metaheuristic optimization algorithms-based prediction modeling for titanium dioxide-Assisted photocatalytic degradation of air contaminants MF Javed, B Siddiq, K Onyelowe, WA Khan, M Khan Results in Engineering 23, 102637, 2024 | 17 | 2024 |
| Computational prediction of workability and mechanical properties of bentonite plastic concrete using multi-expression programming M Khan, M Ali, T Najeh, Y Gamil Scientific Reports 14 (1), 6105, 2024 | 14 | 2024 |
| Comparative analysis of various machine learning algorithms to predict strength properties of sustainable green concrete containing waste foundry sand MF Javed, M Khan, M Fawad, H Alabduljabbar, T Najeh, Y Gamil Scientific Reports 14 (1), 14617, 2024 | 13 | 2024 |
| Application of metaheuristic algorithms for compressive strength prediction of steel fiber reinforced concrete exposed to high temperatures MF Javed, M Khan, ML Nehdi, M Abuhussain Materials Today Communications 39, 108832, 2024 | 10 | 2024 |
| Data-driven models for predicting compressive strength of 3D-printed fiber-reinforced concrete using interpretable machine learning algorithms M Arif, F Jan, A Rezzoug, MA Afridi, M Luqman, WA Khan, M Kujawa, ... Case Studies in Construction Materials 21, e03935, 2024 | 7 | 2024 |
Muhammad Faisal JavedGhulam Ishaq Khan Institute of Engineering Sciences and Technology, Swabi, PakistanE-mailová adresa ověřena na: giki.edu.pk
