| 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 | 46 | 2022 |
| Effect of fineness of basaltic volcanic ash on pozzolanic reactivity, ASR expansion and drying shrinkage of blended cement mortars K Khan, MN Amin, MU Saleem, HJ Qureshi, MA Al-Faiad, MG Qadir Materials 12 (16), 2603, 2019 | 37 | 2019 |
| Assessment of artificial intelligence strategies to estimate the strength of geopolymer composites and influence of input parameters K Khan, W Ahmad, MN Amin, A Ahmad, S Nazar, MA Al-Faiad Polymers 14 (12), 2509, 2022 | 25 | 2022 |
| Effect of fineness and heat treatment on the pozzolanic activity of natural volcanic ash for its utilization as supplementary cementitious materials K Khan, MN Amin, M Usman, M Imran, MA Al-Faiad, FI Shalabi Crystals 12 (2), 302, 2022 | 24 | 2022 |
| Modeling the settling velocity of a sphere in Newtonian and non-Newtonian fluids with machine-learning algorithms S Rushd, N Hafsa, M Al-Faiad, M Arifuzzaman Symmetry 13 (1), 71, 2021 | 24 | 2021 |
| Predictive modeling of compression strength of waste pet/scm blended cementitious grout using gene expression programming K Khan, FE Jalal, M Iqbal, MI Khan, MN Amin, MA Al-Faiad Materials 15 (9), 3077, 2022 | 14 | 2022 |
| Towards optimal machine learning model for terminal settling velocity S Rushd, MT Parvez, MA Al-Faiad, MM Islam Powder Technology 387, 95-107, 2021 | 12 | 2021 |
| Prediction models for estimating compressive strength of concrete made of manufactured sand using gene expression programming model K Khan, BA Salami, A Jamal, MN Amin, M Usman, MA Al-Faiad, ... Materials 15 (17), 5823, 2022 | 7 | 2022 |
| Prediction of rapid chloride penetration resistance to assess the influence of affecting variables on metakaolin-based concrete using gene expression programming MN Amin, M Raheel, M Iqbal, K Khan, MG Qadir, FE Jalal, AA Alabdullah, ... Materials 15 (19), 6959, 2022 | 6 | 2022 |
| Modelling compression strength of waste PET and SCM blended cementitious grout using hybrid of LSSVM models K Khan, J Gudainiyan, M Iqbal, A Jamal, MN Amin, I Mohammed, ... Materials 15 (15), 5242, 2022 | 6 | 2022 |
| Improving Monte-Carlo and molecular dynamics simulation outcomes using temperature-dependent interaction parameters: the case of pure LJ fluid AK Al-Matar, AH Tobgy, IA Suleiman, MA Al-Faiad International Journal of Computational Methods 12 (02), 1550003, 2015 | 6 | 2015 |
| Self diffusion coefficient of Lennard-Jones fluid using temperature dependent interaction parameters at different pressures A Al-matar, AH Tobgy, MA Al-Faiad Sixth Jordan International Chemical Engineering Conference, 2012 | 4 | 2012 |
| Accurate prediction of pressure losses using machine learning for the pipeline transportation of emulsions N Hafsa, S Rushd, H Alzoubi, M Al-Faiad Heliyon 10 (1), 2024 | | 2024 |
| Modeling the Settling Velocity of a Sphere in Newtonian and Non-Newtonian Fluids with Machine-Learning Algorithms. Symmetry 2021, 13, 71 S Rushd, N Hafsa, M Al-Faiad, M Arifuzzaman s Note: MDPI stays neu-tral with regard to jurisdictional clai-ms in …, 2021 | | 2021 |
