| 1 |
Mathematical model for iron corrosion that eliminates chemical potential parameters
Seddiqi H, Sadatshojaie A, Vaferi B, Yahyazadeh E, Salehi A, Wood DA
Chinese Journal of Chemical Engineering, 28(2), 603, 2020 |
| 2 |
Applying artificial neural networks for systematic estimation of degree of fouling in heat exchangers
Davoudi E, Vaferi B
Chemical Engineering Research & Design, 130, 138, 2018 |
| 3 |
Designing an Efficient Artificial Intelligent Approach for Estimation of Hydrodynamic Characteristics of Tapered Fluidized Bed from Its Design and Operating Parameters
Karimi M, Vaferi B, Hossein SH, Rasteh M
Industrial & Engineering Chemistry Research, 57(1), 259, 2018 |
| 4 |
Prediction of viscosity of several alumina-based nanofluids using various artificial intelligence paradigms - Comparison with experimental data and empirical correlations
Gholami E, Vaferi B, Ariana MA
Powder Technology, 323, 495, 2018 |
| 5 |
Application of Recurrent Networks to Classification of Oil Reservoir Models in Well-testing Analysis
Vaferi B, Eslamloueyan R, Ayatollahi S
Energy Sources Part A-recovery Utilization and Environmental Effects, 37(2), 174, 2015 |
| 6 |
Prediction of thermal conductivity of alumina water-based nanofluids by artificial neural networks
Ariana MA, Vaferi B, Karimi G
Powder Technology, 278, 1, 2015 |
| 7 |
Investigating vapor-liquid equilibria of binary mixtures containing supercritical or near-critical carbon dioxide and a cyclic compound using cascade neural network
Lashkarbolooki M, Vaferi B, Shariati A, Hezave AZ
Fluid Phase Equilibria, 343, 24, 2013 |
| 8 |
Comparison between the artificial neural network, SAFT and PRSV approach in obtaining the solubility of solid aromatic compounds in supercritical carbon dioxide
Vaferi B, Karimi M, Azizi M, Esmaeili H
Journal of Supercritical Fluids, 77, 44, 2013 |
| 9 |
Phase equilibria modeling of binary systems containing ethanol using optimal feedforward neural network
Vaferi B, Rahnama Y, Darvishi P, Toorani A, Lashkarbolooki M
Journal of Supercritical Fluids, 84, 80, 2013 |
| 10 |
Using Artificial Neural Network to Predict the Pressure Drop in a Rotating Packed Bed
Lashkarbolooki M, Vaferi B, Mowla D
Separation Science and Technology, 47(16), 2450, 2012 |
