Behzad Vaferi
Behzad Vaferi
Other namesB. Vaferi
Associate Professor of Chemical Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran
Verified email at
Cited by
Cited by
Prediction of thermal conductivity of alumina water-based nanofluids by artificial neural networks
MA Ariana, B Vaferi, G Karimi
Powder Technology 278, 1-10, 2015
Automatic recognition of oil reservoir models from well testing data by using multi-layer perceptron networks
B Vaferi, R Eslamloueyan, S Ayatollahi
Journal of Petroleum Science and Engineering 77 (3-4), 254-262, 2011
Artificial neural network approach for prediction of thermal behavior of nanofluids flowing through circular tubes
B Vaferi, F Samimi, E Pakgohar, D Mowla
Powder technology 267, 1-10, 2014
Comparison the capability of artificial neural network (ANN) and EOS for prediction of solid solubilities in supercritical carbon dioxide
M Lashkarbolooki, B Vaferi, MR Rahimpour
Fluid Phase Equilibria 308 (1-2), 35-43, 2011
Modeling of CO2 capture ability of [Bmim][BF4] ionic liquid using connectionist smart paradigms
B Daryayehsalameh, M Nabavi, B Vaferi
Environmental Technology & Innovation 22, 101484, 2021
Applying artificial neural networks for systematic estimation of degree of fouling in heat exchangers
E Davoudi, B Vaferi
Chemical Engineering Research and Design 130, 138-153, 2018
Estimation of pool boiling heat transfer coefficient of alumina water-based nanofluids by various artificial intelligence (AI) approaches
M Hassanpour, B Vaferi, ME Masoumi
Applied Thermal Engineering 128, 1208-1222, 2018
Comparison between the artificial neural network, SAFT and PRSV approach in obtaining the solubility of solid aromatic compounds in supercritical carbon dioxide
B Vaferi, M Karimi, M Azizi, H Esmaeili
The Journal of Supercritical Fluids 77, 44-51, 2013
Electrical efficiency of the photovoltaic/thermal collectors cooled by nanofluids: Machine learning simulation and optimization by evolutionary algorithm
Y Cao, E Kamrani, S Mirzaei, A Khandakar, B Vaferi
Energy Reports 8, 24-36, 2022
Investigating vapor–liquid equilibria of binary mixtures containing supercritical or near-critical carbon dioxide and a cyclic compound using cascade neural network
M Lashkarbolooki, B Vaferi, A Shariati, AZ Hezave
Fluid Phase Equilibria 343, 24-29, 2013
Prediction of viscosity of several alumina-based nanofluids using various artificial intelligence paradigms-Comparison with experimental data and empirical correlations
E Gholami, B Vaferi, MA Ariana
Powder Technology 323, 495-506, 2018
Prediction of transient pressure response in the petroleum reservoirs using orthogonal collocation
B Vaferi, V Salimi, DD Baniani, A Jahanmiri, S Khedri
Journal of Petroleum Science and Engineering 98, 156-163, 2012
Model identification for gas condensate reservoirs by using ANN method based on well test data
N Ghaffarian, R Eslamloueyan, B Vaferi
Journal of Petroleum Science and Engineering 123, 20-29, 2014
Hydrogen solubility in aromatic/cyclic compounds: prediction by different machine learning techniques
Y Jiang, G Zhang, J Wang, B Vaferi
International Journal of Hydrogen Energy 46 (46), 23591-23602, 2021
Using artificial neural network to predict the pressure drop in a rotating packed bed
M Lashkarbolooki, B Vaferi, D Mowla
Separation Science and Technology 47 (16), 2450-2459, 2012
Monitoring the effect of surface functionalization on the CO2 capture by graphene oxide/methyl diethanolamine nanofluids
Z Zhou, E Davoudi, B Vaferi
Journal of Environmental Chemical Engineering 9 (5), 106202, 2021
Experimental and theoretical analysis of the UV/H2O2 advanced oxidation processes treating aromatic hydrocarbons and MTBE from contaminated synthetic wastewaters
B Vaferi, M Bahmani, P Keshavarz, D Mowla
Journal of Environmental Chemical Engineering 2 (3), 1252-1260, 2014
The feasibility of Levenberg–Marquardt algorithm combined with imperialist competitive computational method predicting drag reduction in crude oil pipelines
H Moayedi, B Aghel, B Vaferi, LK Foong, DT Bui
Journal of Petroleum Science and Engineering 185, 106634, 2020
Intelligent assessment of effect of aggregation on thermal conductivity of nanofluids—Comparison by experimental data and empirical correlations
A Khalifeh, B Vaferi
Thermochimica Acta 681, 178377, 2019
Smart computing approach for design and scale-up of conical spouted beds with open-sided draft tubes
M Karimi, B Vaferi, SH Hosseini, M Olazar, S Rashidi
Particuology 55, 179-190, 2021
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