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Ushtar Arshad
Ushtar Arshad
PhD Student at WASM-Minerals, Energy and Chemical Engineering, Curtin University, Perth
Verified email at postgrad.curtin.edu.au
Title
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Cited by
Year
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
392022
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
352021
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
352021
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
312022
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
262024
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
192022
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
142023
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
52024
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
42024
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
42023
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
42021
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
22024
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
12024
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
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