Suleman Ayub Khan

A data-driven approach to predict the compressive strength of alkali-activated materials and correlation of influencing parameters using SHapley Additive exPlanations (SHAP) analysis

Xinliang Zheng, Yi Xie, Xujiao Yang et al. · Journal of Materials Research and Technology · 2023 · 56 citations · Full text

Engineering, Genetics, Mechanical Engineering +21

Investigating the feasibility of producing sustainable and compatible binder using marble waste, fly ash, and rice husk ash: A comprehensive research for material characteristics and production

Mohammad Adeel Khan, Suleman Ayub Khan, Bazid Khan et al. · Results in Engineering · 2023 · 25 citations · Full text

Engineering, Compatible Binder, Portland Cement Mortar +16

Optimizing machine learning techniques and SHapley Additive exPlanations (SHAP) analysis for the compressive property of self-compacting concrete

Zhiyuan Wang, Huihui Liu, Muhammad Nasir Amin et al. · Materials Today Communications · 2024 · 18 citations

Engineering, Machine Learning, Self-compacting Concrete +9

Investigating the feasibility of genetic algorithms in predicting the properties of eco-friendly alkali-based concrete

Conghe Jin, Qian Yong-jiu, Suleman Ayub Khan et al. · Construction and Building Materials · 2023 · 13 citations

Engineering, Genetic Algorithms, Environmental Engineering +8

Promoting the suitability of rice husk ash concrete in the building sector via contemporary machine intelligence techniques

Muhammad Nasir Amin, Suleman Ayub Khan, Kaffayatullah Khan et al. · Case Studies in Construction Materials · 2023 · 11 citations · Full text