Maddah, H. A., Department of Chemical Engineering, King Abdulaziz University, Saudi Arabia

• Predictive Regression Models for the Compressive Strength of Fly Ash-based Alkali-Activated Cementitious Materials via Machine Learning

  H. A. Maddah, M. Kheimi, M. Abo El-Wafa

  Engineering, Technology & Applied Science Research

  Volume: 12 | Issue: 2 | Pages: 8241-8247 | April 2022 | https://doi.org/10.48084/etasr.4713

  • Abstract
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• Numerical Analysis for the Oxidation of Phenol with TiO2 in Wastewater Photocatalytic Reactors

  H. A. Maddah

  Engineering, Technology & Applied Science Research

  Volume: 8 | Issue: 5 | Pages: 3463-3469 | October 2018 | https://doi.org/10.48084/etasr.2304

  • Abstract
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  • MATLAB CODE

• Predicting Flux Rates against Pressure via Solution-Diffusion in Reverse Osmosis Membranes

  H. A. Maddah

  Engineering, Technology & Applied Science Research

  Volume: 11 | Issue: 2 | Pages: 6902-6906 | April 2021 | https://doi.org/10.48084/etasr.4059

  • Abstract
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