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Majid Khan
Majid Khan
University of Engineering and Technology, Peshawar, COMSATS University Islamabad, Abbottabad Campus
在 uetpeshawar.edu.pk 的电子邮件经过验证
标题
引用次数
引用次数
年份
Fiber reinforced concrete: a review
M Anas, M Khan, H Bilal, S Jadoon, MN Khan
Engineering Proceedings 22 (1), 3, 2022
322022
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
312023
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
302023
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
212023
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
192023
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
172024
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
172023
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
162023
A review on fiber-reinforced foam concrete
M Khan, M Shakeel, K Khan, S Akbar, A Khan
Engineering Proceedings 22 (1), 13, 2022
142022
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
112024
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
102024
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
102024
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
82024
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
72024
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
62024
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
42022
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
32022
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
22024
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
12024
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
12023
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