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Reza Soleimani
Reza Soleimani
Tarbiat Modares University, Iran National Museum of Science and Technology
Geverifieerd e-mailadres voor inmost.ir
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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
Prediction of CO2‐Oil Minimum Miscibility Pressure Using Soft Computing Methods
AH Saeedi Dehaghani, R Soleimani
Chemical Engineering & Technology 43 (7), 1361-1371, 2020
112020
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
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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Artikelen 1–20