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Majid Khan
Majid Khan
University of Engineering and Technology, Peshawar, COMSATS University Islamabad, Abbottabad Campus
Verified email at uetpeshawar.edu.pk
Title
Cited by
Cited by
Year
Fiber reinforced concrete: a review
M Anas, M Khan, H Bilal, S Jadoon, MN Khan
Engineering Proceedings 22 (1), 3, 2022
272022
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
262023
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
242023
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
142023
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
142023
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
132023
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
132023
A review on fiber-reinforced foam concrete
M Khan, M Shakeel, K Khan, S Akbar, A Khan
Engineering Proceedings 22 (1), 13, 2022
132022
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
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
82024
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
82024
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
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
52024
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, 101837, 2024
42024
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
32024
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
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
12024
Optimization of Resources of a Building Project
S Hamad, M Khan, SM Ali, S Hussain, L Zaman
Engineering Proceedings 22 (1), 19, 2022
12022
Use of Marble Dust as a Filler Material in Flexible Pavements
A Khan, M Khan, S Ali, M Khattak
4th Int. Conf. Sustain. Civ. Eng. CUST, Islam. Pakistan, 2022
12022
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
2024
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