| Stock market index prediction using artificial neural network AH Moghaddam, MH Moghaddam, M Esfandyari Journal of Economics, Finance and Administrative Science 21 (41), 89-93, 2016 | 497 | 2016 |
| Modeling of simultaneous adsorption of dye and metal ion by sawdust from aqueous solution using of ANN and ANFIS M Dolatabadi, M Mehrabpour, M Esfandyari, H Alidadi, M Davoudi Chemometrics and Intelligent Laboratory Systems 181, 72-78, 2018 | 136 | 2018 |
| 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 |
| Adaptive fuzzy tuning of PID controllers M Esfandyari, MA Fanaei, H Zohreie Neural Computing and Applications 23, 19-28, 2013 | 69 | 2013 |
| 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 |
| Mathematical modeling of two-chamber batch microbial fuel cell with pure culture of Shewanella M Esfandyari, MA Fanaei, R Gheshlaghi, MA Mahdavi Chemical Engineering Research and Design 117, 34-42, 2017 | 65 | 2017 |
| Adsorption of tetracycline antibiotic onto modified zeolite: Experimental investigation and modeling M Dolatabadi, M Mehrabpour, M Esfandyari, S Ahmadzadeh MethodsX 7, 100885, 2020 | 59 | 2020 |
| Neural network and neuro-fuzzy modeling to investigate the power density and Columbic efficiency of microbial fuel cell M Esfandyari, MA Fanaei, R Gheshlaghi, MA Mahdavi Journal of the Taiwan Institute of Chemical Engineers 58, 84-91, 2016 | 52 | 2016 |
| Nero-fuzzy modeling of the convection heat transfer coefficient for the nanofluid H Salehi, S Zeinali-Heris, M Esfandyari, M Koolivand Heat and Mass Transfer 49, 575-583, 2013 | 35 | 2013 |
| Adsorption of formaldehyde from aqueous solution using activated carbon prepared from Hibiscus rosa-sinensis M Zahed, D Jafari, M Esfandyari International Journal of Environmental Analytical Chemistry 102 (13), 2979-3001, 2022 | 32 | 2022 |
| 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 |
| Dynamic modeling of a continuous two-chamber microbial fuel cell with pure culture of Shewanella M Esfandyari, MA Fanaei, R Gheshlaghi, MA Mahdavi international journal of hydrogen energy 42 (33), 21198-21202, 2017 | 24 | 2017 |
| Adsorption of Nickel(II) Ions from Synthetic Wastewater Using Activated Carbon Prepared from Mespilus germanica Leaf A Khedri, D Jafari, M Esfandyari Arabian Journal for Science and Engineering 47 (5), 6155-6166, 2022 | 23 | 2022 |
| Neuro-fuzzy modeling to adsorptive performance of magnetic chitosan nanocomposite B Tanhaei, M Esfandyari, A Ayati, M Sillanpää Journal of Nanostructure in Chemistry 7, 29-36, 2017 | 21 | 2017 |
| Experimental investigation and adaptive neural fuzzy inference system prediction of copper recovery from flotation tailings by acid leaching in a batch agitated tank J Pazhoohan, H Beiki, M Esfandyari International Journal of Minerals, Metallurgy, and Materials 26, 538-546, 2019 | 20 | 2019 |
| Application of genetic programing technique for predicting uniaxial compressive strength using reservoir formation properties M Koolivand-Salooki, M Esfandyari, E Rabbani, M Koulivand, A Azarmehr Journal of Petroleum Science and Engineering 159, 35-48, 2017 | 20 | 2017 |
| Fuzzy model prediction of Co (III) Al2O3 catalytic behavior in Fischer-Tropsch synthesis MA Takassi, MK Salooki, M Esfandyari Journal of Natural Gas Chemistry 20 (6), 603-610, 2011 | 19 | 2011 |
| Thermodynamical and artificial intelligence approaches of H2S solubility in N-methylpyrrolidone M Shokouhi, MK Salooki, JS Ahari, M Esfandyari Chemical Physics Letters 707, 22-30, 2018 | 18 | 2018 |
| Prediction of thiophene removal from diesel using [BMIM][AlCl4] in EDS Process: GA-ANFIS and PSO-ANFIS modeling M Esfandyari, M Esfandyari, D Jafari Petroleum Science and Technology 36 (16), 1305-1311, 2018 | 17 | 2018 |
| Efficient prediction of water vapor adsorption capacity in porous metal–organic framework materials: ANN and ANFIS modeling M Niknam Shahrak, M Esfandyari, M Karimi Journal of the Iranian Chemical Society 16 (1), 11-20, 2019 | 15 | 2019 |
Dariush JafariUniversity of Nebraska - LincolnVerified email at huskers.unl.edu
