Muhammad Tahir Qadir

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 · 20 citations

Computing, Computer Science, Materials Science +16

Investigating the effectiveness of carbon nanotubes for the compressive strength of concrete using AI-aided tools

Han Sun, Muhammad Nasir Amin, Muhammad Tahir Qadir et al. · Case Studies in Construction Materials · 2024 · 19 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +17

SCF analysis of a pressurized vessel–nozzle intersection with wall thinning damage

Muhammad Tahir Qadir, D. Redekop · International Journal of Pressure Vessels and Piping · 2009 · 13 citations

Engineering, Aerospace Engineering, Computational Fluid Dynamics +8

Analyzing the efficacy of waste marble and glass powder for the compressive strength of self-compacting concrete using machine learning strategies

Qing Guan, Zhong Ling Tong, Muhammad Nasir Amin et al. · REVIEWS ON ADVANCED MATERIALS SCIENCE · 2024 · 11 citations · Full text

Architecture, Materials Engineering, Materials Science +17