Fiber reinforced concrete: a review M Anas, M Khan, H Bilal, S Jadoon, MN Khan Engineering Proceedings 22 (1), 3, 2022 | 32 | 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 | 31 | 2023 |
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 | 30 | 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 | 21 | 2023 |
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 | 19 | 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 | 17 | 2024 |
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 | 17 | 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 | 16 | 2023 |
A review on fiber-reinforced foam concrete M Khan, M Shakeel, K Khan, S Akbar, A Khan Engineering Proceedings 22 (1), 13, 2022 | 14 | 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 | 11 | 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 | 10 | 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 | 10 | 2024 |
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 | 8 | 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 | 7 | 2024 |
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 | 6 | 2024 |
Mechanical and Physical Properties of Cellular Lightweight Concrete (CLC) Blocks K Khan, I Khan, M Khan, M Shakeel, A Khan Proceedings of the 1st International Conference on Advances in Civil …, 2022 | 4 | 2022 |
Use of Marble dust as a filler material i n flexible pavements A Khan, M Khan, S Ali, M Khattak 4th Int. Conf. Sustain. Civ. Eng. CUST, Islam. Pakistan, 2022 | 3 | 2022 |
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 | 2 | 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 | 1 | 2024 |
Qualitative risk evaluation of occupational health and safety measures of under-construction Indus Highway N-55: A Case Study A Khan, M Shakeel, M Khan, N Sohail, M Shahab, M Wasil 2023 6th International Conference on Energy Conservation and Efficiency …, 2023 | 1 | 2023 |