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Reza Soleimani
Reza Soleimani
Tarbiat Modares University, Iran National Museum of Science and Technology
Verified email at inmost.ir
Title
Cited by
Cited by
Year
Experimental investigation, modeling and optimization of membrane separation using artificial neural network and multi-objective optimization using genetic algorithm
R Soleimani, NA Shoushtari, B Mirza, A Salahi
Chemical Engineering Research and Design 91 (5), 883-903, 2013
1752013
Determination of oil well production performance using artificial neural network (ANN) linked to the particle swarm optimization (PSO) tool
MA Ahmadi, R Soleimani, M Lee, T Kashiwao, A Bahadori
Petroleum 1 (2), 118-132, 2015
1492015
Estimating hydrogen sulfide solubility in ionic liquids using a machine learning approach
A Shafiei, MA Ahmadi, SH Zaheri, A Baghban, A Amirfakhrian, ...
The Journal of Supercritical Fluids 95, 525-534, 2014
1102014
Connectionist technique estimates H2S solubility in ionic liquids through a low parameter approach
MA Ahmadi, B Pouladi, Y Javvi, S Alfkhani, R Soleimani
The Journal of Supercritical Fluids 97, 81-87, 2015
912015
Experimental study and modeling of ultrafiltration of refinery effluents using a hybrid intelligent approach
H Fazeli, R Soleimani, MA Ahmadi, R Badrnezhad, AH Mohammadi
Energy & Fuels 27 (6), 3523-3537, 2013
842013
A computational intelligence scheme for prediction equilibrium water dew point of natural gas in TEG dehydration systems
MA Ahmadi, R Soleimani, A Bahadori
Fuel 137, 145-154, 2014
822014
Estimation of H2S solubility in ionic liquids using a rigorous method
MA Ahmadi, R Haghbakhsh, R Soleimani, MB Bajestani
The Journal of Supercritical Fluids 92, 60-69, 2014
642014
Prediction of the binary surface tension of mixtures containing ionic liquids using Support Vector Machine algorithms
M Hashemkhani, R Soleimani, H Fazeli, M Lee, A Bahadori, M Tavalaeian
Journal of Molecular Liquids 211, 534-552, 2015
522015
Toward an intelligent approach for predicting surface tension of binary mixtures containing ionic liquids
R Soleimani, AH Saeedi Dehaghani, NA Shoushtari, P Yaghoubi, ...
Korean Journal of Chemical Engineering 35, 1556-1569, 2018
292018
A new decision tree based algorithm for prediction of hydrogen sulfide solubility in various ionic liquids
R Soleimani, AH Saeedi Dehaghani, A Bahadori
Journal of Molecular Liquids, 2017
252017
Modeling CO2 absorption in aqueous solutions of DEA, MDEA, and DEA + MDEA based on intelligent methods
D Abooali, R Soleimani, A Rezaei-Yazdi
Separation Science and Technology 55 (4), 697-707, 2020
192020
Investigation of segregation of large particles in a pressurized fluidized bed with a high velocity gas: A discrete particle simulation
NA Shoushtari, SA Hosseini, R Soleimani
Powder technology 246, 398-412, 2013
162013
Characterization of physico-chemical properties of biodiesel components using smart data mining approaches
D Abooali, R Soleimani, S Gholamreza-Ravi
Fuel 266, 117075, 2020
152020
Evolving an accurate decision tree‐based model for predicting carbon dioxide solubility in polymers
R Soleimani, AH Saeedi Dehaghani, A Rezai-Yazdi, SA Hosseini, ...
Chemical Engineering & Technology 43 (3), 514-522, 2020
132020
Characterizing CO2 capture with aqueous solutions of LysK and the mixture of MAPA+ DEEA using soft computing methods
R Soleimani, D Abooali, NA Shoushtari
Energy 164, 664-675, 2018
132018
Estimation of Interfacial Tension for Geological CO2 Storage
AHS Dehaghani, R Soleimani
Chemical Engineering & Technology 42 (3), 680-689, 2019
112019
Prediction of natural gas hydrate inhibitor vaporization rate using particle swarm optimization approach
MA Ahmadi, R Soleimani, A Bahadori
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 38 …, 2016
112016
Prediction of CO2‐Oil Minimum Miscibility Pressure Using Soft Computing Methods
AH Saeedi Dehaghani, R Soleimani
Chemical Engineering & Technology 43 (7), 1361-1371, 2020
102020
Screening of important parameters in optimal design of compressed air energy storage system using an ensemble learning method
AHS Dehaghani, R Soleimani, AH Mohammadi
Journal of Energy Storage 48, 104023, 2022
82022
Assessment of compressor power and condenser duty per refrigeration duty in three-stage propane refrigerant systems using a new ensemble learning tool
R Soleimani, T Mahmood, A Bahadori
Chemeca 2016: Chemical Engineering-Regeneration, Recovery and Reinvention, 23-34, 2016
82016
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