Prediction of compressive strength of rice husk ash concrete through different machine learning processes A Iqtidar, N Bahadur Khan, S Kashif-ur-Rehman, M Faisal Javed, F Aslam, ... Crystals 11 (4), 352, 2021 | 61 | 2021 |
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 | 56 | 2021 |
Compressive strength prediction of rice husk ash using multiphysics genetic expression programming F Aslam, MA Elkotb, A Iqtidar, MA Khan, MF Javed, KI Usanova, MI Khan, ... Ain Shams Engineering Journal 13 (3), 101593, 2022 | 49 | 2022 |
Predictive modelling of compressive strength of fly ash and ground granulated blast furnace slag based geopolymer concrete using machine learning techniques Y Wang, A Iqtidar, MN Amin, S Nazar, AM Hassan, M Ali Case Studies in Construction Materials 20, e03130, 2024 | 27 | 2024 |
Utilizing Corn Cob Ash and Bauxite as One-Part Geopolymer: A Sustainable Approach for Construction Materials R Arif, A Iqtidar, SU Khattak Engineering Proceedings 44 (1), 18, 2023 | 3 | 2023 |
One Part Geopolymer Using Rice Husk Ash And Metakaolin A Iqtidar, MF Javed, U Khurshid, J Ihsaan, H Kamal 2nd Conference On Sustainability In Civil Engineering (Csce’20) Department …, 2020 | 1 | 2020 |
Promoting the sustainable construction: A scientometric review on the utilization of waste glass in concrete A Qayyum, MF Javed, R Asghar, A Iqtidar, H Alabduljabbar, MA Khan, ... Reviews on Advanced Materials Science 63 (1), 20240036, 2024 | | 2024 |