| Application of experimental design approach and artificial neural network (ANN) for the determination of potential micellar-enhanced ultrafiltration process B Rahmanian, M Pakizeh, SAA Mansoori, R Abedini Journal of hazardous materials 187 (1-3), 67-74, 2011 | 131 | 2011 |
| Prediction of MEUF process performance using artificial neural networks and ANFIS approaches B Rahmanian, M Pakizeh, SAA Mansoori, M Esfandyari, D Jafari, ... Journal of the Taiwan Institute of Chemical Engineers 43 (4), 558-565, 2012 | 71 | 2012 |
| Fuzzy modeling and simulation for lead removal using micellar-enhanced ultrafiltration (MEUF) B Rahmanian, M Pakizeh, M Esfandyari, F Heshmatnezhad, A Maskooki Journal of hazardous materials 192 (2), 585-592, 2011 | 69 | 2011 |
| Micellar-enhanced ultrafiltration of zinc in synthetic wastewater using spiral-wound membrane B Rahmanian, M Pakizeh, A Maskooki Journal of hazardous materials 184 (1-3), 261-267, 2010 | 63 | 2010 |
| The prediction of undersaturated crude oil viscosity: An artificial neural network and fuzzy model approach R Abedini, M Esfandyari, A Nezhadmoghadam, B Rahmanian Petroleum science and technology 30 (19), 2008-2021, 2012 | 27 | 2012 |
| Optimization of lead removal from aqueous solution by micellar-enhanced ultrafiltration process using Box-Behnken design B Rahmanian, M Pakizeh, A Maskooki Korean Journal of Chemical Engineering 29, 804-811, 2012 | 21 | 2012 |
| Investigation of the effect of hydraulic retention time on anaerobic digestion of potato leachate in two-stage mixed-UASB system B Kamyab, H Zilouei, B Rahmanian Biomass and bioenergy 130, 105383, 2019 | 14 | 2019 |
| Fuzzy inference system for modeling of zinc removal using micellar-enhanced ultrafiltration B Rahmanian, M Pakizeh, M Esfandyari, A Maskooki Separation Science and Technology 46 (10), 1571-1581, 2011 | 11 | 2011 |
Majid PakizehChemical Engineering Department, Hamedan University of TechnologyVerified email at hut.ac.ir
