SVM and ANN modelling approach for the optimization of membrane permeability of a membrane rotating biological contactor for wastewater treatment S Waqas, NY Harun, NS Sambudi, U Arshad, NAHM Nordin, MR Bilad, ... Membranes 12 (9), 821, 2022 | 39 | 2022 |
SVM, ANN, and PSF modelling approaches for prediction of iron dust minimum ignition temperature (MIT) based on the synergistic effect of dispersion pressure and concentration U Arshad, SAA Taqvi, A Buang, A Awad Process Safety and Environmental Protection 152, 375-390, 2021 | 35 | 2021 |
Modelling of the minimum ignition temperature (MIT) of corn dust using statistical analysis and artificial neural networks based on the synergistic effect of concentration and … U Arshad, SAA Taqvi, A Buang Process Safety and Environmental Protection 147, 742-755, 2021 | 35 | 2021 |
Response surface methodology and artificial neural network modelling of membrane rotating biological contactors for wastewater treatment M Irfan, S Waqas, U Arshad, JA Khan, S Legutko, I Kruszelnicka, ... Materials 15 (5), 1932, 2022 | 31 | 2022 |
Optimization of operational parameters using RSM, ANN, and SVM in membrane integrated with rotating biological contactor S Waqas, NY Harun, U Arshad, AM Laziz, SLS Mun, MR Bilad, ... Chemosphere 349, 140830, 2024 | 26 | 2024 |
Experimental analysis and data-driven machine learning modelling of the minimum ignition temperature (MIT) of aluminium dust U Arshad, SAA Taqvi, A Buang Fuel 324, 124569, 2022 | 19 | 2022 |
Predictive modelling of wind-influenced dynamic fire spread probability in tank farm due to domino effect by integrating numerical simulation with ANN AA Malik, MS Nasif, U Arshad, AA Mokhtar, MZM Tohir, R Al-Waked Fire 6 (3), 85, 2023 | 14 | 2023 |
Response surface methodology and artificial neural network modelling of palm oil decanter cake and alum sludge co-gasification for syngas (CO+ H2) production KJ Abioye, NY Harun, U Arshad, S Sufian, M Yusuf, AH Jagaba, JO Ighalo, ... International Journal of Hydrogen Energy 84, 200-214, 2024 | 5 | 2024 |
Review of the performance and energy requirements of metals modified TiO2 materials based photocatalysis for phenolic compounds degradation: A case of agro-industrial effluent R Nawaz, MM Hanafiah, M Ali, M Anjum, ZA Baki, SD Mekkey, S Ullah, ... Journal of Environmental Chemical Engineering 12 (3), 112766, 2024 | 4 | 2024 |
Screening of Metal Oxides and Hydroxides for Arsenic Removal from Water Using Molecular Dynamics Simulations NE Hira, SSM Lock, U Arshad, K Asif, F Ullah, AS Farooqi, CL Yiin, ... ACS omega 8 (50), 48130-48144, 2023 | 4 | 2023 |
Combined Effect of Dispersion Pressure and Concentration on Minimum Ignition Temperature of Corn Dust using Response Surface Methodology–Preliminary Investigation U Arshad, A Buang, K Khanafiah E3S Web of Conferences 287, 03006, 2021 | 4 | 2021 |
Optimization of Operational Parameters Using Artificial Neural Network and Support Vector Machine for Bio-oil Extracted from Rice Husk A Ahmed, N Yub Harun, S Waqas, U Arshad, SA Ghalib ACS Omega, 2024 | 2 | 2024 |
Selective acid gas separation from diatomic nonmetal gas via ZIF-8 membrane: Taguchi analysis and neural network modeling NH Suhaimi, YF Yeong, N Jusoh, S Waqas, U Arshad, BK Yap Results in Engineering 24, 103102, 2024 | 1 | 2024 |
Visible-driven industrial wastewater remediation using black titania: optimization, energy consumption, treatment, and material preparation costs estimation R Nawaz, U Arshad, MM Hanafiah, S Haider, M Anjum, ZA Baki, R Khan, ... Chemical Engineering Science, 121257, 2025 | | 2025 |
Undoped ruthenium oxide as a stable catalyst for the acidic oxygen evolution reaction J Tang, D Guan, H Xu, L Zhao, U Arshad, Z Fang, T Zhu, M Kim, CW Pao, ... Nature Communications 16 (1), 801, 2025 | | 2025 |
Grid‐based assessment of hydrogen leakages for an offshore process to improve the design and human performance AA Malik, R Rusli, S Nazir, RH Wong, U Arshad Process Safety Progress 43, S35-S49, 2024 | | 2024 |