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Kaffayatullah Khan
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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
2452020
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
1992020
Prediction of rapid chloride penetration resistance of metakaolin based high strength concrete using light GBM and XGBoost models by incorporating SHAP analysis
AA Alabdullah, M Iqbal, M Zahid, K Khan, MN Amin, FE Jalal
Construction and Building Materials 345, 128296, 2022
1852022
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
1672020
Modeling of mechanical properties of silica fume-based green concrete using machine learning techniques
A Nafees, MN Amin, K Khan, K Nazir, M Ali, MF Javed, F Aslam, ...
Polymers 14 (1), 30, 2021
992021
Prediction model for rice husk ash concrete using AI approach: Boosting and bagging algorithms
MN Amin, B Iftikhar, K Khan, MF Javed, AM AbuArab, MF Rehman
Structures 50, 745-757, 2023
932023
Design optimization and statistical modeling of cementitious grout containing irradiated plastic waste and silica fume using response surface methodology
MI Khan, MH Sutanto, MB Napiah, K Khan, W Rafiq
Construction and Building Materials 271, 121504, 2021
732021
Effective use of recycled waste PET in cementitious grouts for developing sustainable semi-flexible pavement surfacing using artificial neural network (ANN)
MI Khan, MH Sutanto, K Khan, M Iqbal, MB Napiah, SE Zoorob, JJ Klemeš, ...
Journal of Cleaner Production 340, 130840, 2022
722022
A worldwide development in the accumulation of waste tires and its utilization in concrete as a sustainable construction material: A review
AM Moasas, MN Amin, K Khan, W Ahmad, MNA Al-Hashem, AF Deifalla, ...
Case Studies in Construction Materials 17, e01677, 2022
682022
Nano-silica-modified concrete: A bibliographic analysis and comprehensive review of material properties
K Khan, W Ahmad, MN Amin, S Nazar
Nanomaterials 12 (12), 1989, 2022
682022
Influence of fineness of volcanic ash and its blends with quarry dust and slag on compressive strength of mortar under different curing temperatures
K Khan, MN Amin
Construction and Building Materials 154, 514-528, 2017
662017
Pozzolanic potential and mechanical performance of wheat straw ash incorporated sustainable concrete
MN Amin, T Murtaza, K Shahzada, K Khan, M Adil
Sustainability 11 (2), 519, 2019
642019
Comparison of prediction models based on machine learning for the compressive strength estimation of recycled aggregate concrete
K Khan, W Ahmad, MN Amin, F Aslam, A Ahmad, MA Al-Faiad
Materials 15 (10), 3430, 2022
632022
Effective use of micro-silica extracted from rice husk ash for the production of high-performance and sustainable cement mortar
K Khan, MF Ullah, K Shahzada, MN Amin, T Bibi, N Wahab, A Aljaafari
Construction and Building Materials 258, 119589, 2020
632020
Machine learning interpretable-prediction models to evaluate the slump and strength of fly ash-based geopolymer
S Nazar, J Yang, MN Amin, K Khan, M Ashraf, F Aslam, MF Javed, ...
Journal of Materials Research and Technology 24, 100-124, 2023
622023
Potential use of waste eggshells in cement-based materials: A bibliographic analysis and review of the material properties
D Yang, J Zhao, W Ahmad, MN Amin, F Aslam, K Khan, A Ahmad
Construction and Building Materials 344, 128143, 2022
612022
Promoting sustainable materials using recycled rubber in concrete: A review
J Mei, G Xu, W Ahmad, K Khan, MN Amin, F Aslam, A Alaskar
Journal of Cleaner Production 373, 133927, 2022
602022
Formulation of estimation models for the compressive strength of concrete mixed with nanosilica and carbon nanotubes
S Nazar, J Yang, MN Amin, K Khan, MF Javed, F Althoey
Developments in the Built Environment 13, 100113, 2023
572023
Comparison of machine learning approaches with traditional methods for predicting the compressive strength of rice husk ash concrete
MN Amin, A Iqtidar, K Khan, MF Javed, FI Shalabi, MG Qadir
Crystals 11 (7), 779, 2021
562021
Machine learning based computational approach for crack width detection of self-healing concrete
F Althoey, MN Amin, K Khan, MM Usman, MA Khan, MF Javed, ...
Case Studies in Construction Materials 17, e01610, 2022
552022
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