Ammar Iqtidar

Prediction of Compressive Strength of Rice Husk Ash Concrete through Different Machine Learning Processes

Ammar Iqtidar, Niaz Bahadur Khan, Sardar Kashif Ur Rehman et al. · Crystals · 2021 · 76 citations · Full text

Engineering, Civil Engineering, Materials Engineering +15

Comparison of Machine Learning Approaches with Traditional Methods for Predicting the Compressive Strength of Rice Husk Ash Concrete

Muhammad Nasir Amin, Ammar Iqtidar, Kaffayatullah Khan et al. · Crystals · 2021 · 54 citations · Full text

Engineering, Civil Engineering, Materials Engineering +15

Compressive strength prediction of rice husk ash using multiphysics genetic expression programming

Fahid Aslam, Mohamed Abdelghany Elkotb, Ammar Iqtidar et al. · Ain Shams Engineering Journal · 2021 · 45 citations · Full text

Architecture, Computational Engineering, Materials Engineering +8

Predictive modelling of compressive strength of fly ash and ground granulated blast furnace slag based geopolymer concrete using machine learning techniques

Yejia Wang, Ammar Iqtidar, Muhammad Nasir Amin et al. · Case Studies in Construction Materials · 2024 · 45 citations · Full text

Computing, Civil Engineering, Materials Engineering +15