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Amin Bemani
Amin Bemani
Petroleum University of Technology
Verifisert e-postadresse på aut.ac.ir
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Prediction of solubility of N-alkanes in supercritical CO2 using RBF-ANN and MLP-ANN
M Abdi-Khanghah, A Bemani, Z Naserzadeh, Z Zhang
Journal of CO2 Utilization 25, 108-119, 2018
1202018
Modeling of cetane number of biodiesel from fatty acid methyl ester (FAME) information using GA-, PSO-, and HGAPSO-LSSVM models
A Bemani, Q Xiong, A Baghban, S Habibzadeh, AH Mohammadi, ...
Renewable Energy 150, 924-934, 2020
1172020
An insight into the estimation of fatty acid methyl ester based biodiesel properties using a LSSVM model
R Razavi, A Bemani, A Baghban, AH Mohammadi, S Habibzadeh
Fuel 243, 133-141, 2019
772019
Experimental and modeling studies of the effects of different nanoparticles on asphaltene adsorption
M Madhi, A Bemani, A Daryasafar, MR Khosravi Nikou
Petroleum Science and Technology 35 (3), 242-248, 2017
712017
Application of ANFIS and LSSVM strategies for estimating thermal conductivity enhancement of metal and metal oxide based nanofluids
R Razavi, A Sabaghmoghadam, A Bemani, A Baghban, K Chau, ...
Engineering Applications of Computational Fluid Mechanics 13 (1), 560-578, 2019
642019
Estimation of adsorption capacity of CO2, CH4, and their binary mixtures in Quidam shale using LSSVM: Application in CO2 enhanced shale gas recovery and CO2 storage
A Bemani, A Baghban, AH Mohammadi, PØ Andersen
Journal of Natural Gas Science and Engineering 76, 103204, 2020
562020
Application of ANFIS-PSO algorithm as a novel method for estimation of higher heating value of biomass
M Suleymani, A Bemani
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 40 …, 2018
492018
Application of MLP-ANN strategy to predict higher heating value of biomass in terms of proximate analysis
E Keybondorian, H Zanbouri, A Bemani, T Hamule
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 39 …, 2017
482017
Estimating CO2-Brine diffusivity using hybrid models of ANFIS and evolutionary algorithms
A Bemani, A Baghban, A Mosavi, S S
Engineering Applications of Computational Fluid Mechanics 14 (1), 818-834, 2020
462020
Applying ANFIS-PSO algorithm as a novel accurate approach for prediction of gas density
M Mir, M Kamyab, MJ Lariche, A Bemani, A Baghban
Petroleum Science and Technology 36 (12), 820-826, 2018
452018
An insight into the modeling of sulfur content of sour gases in supercritical region
A Bemani, A Baghban, AH Mohammadi
Journal of Petroleum Science and Engineering 184, 106459, 2020
442020
Estimation of the higher heating value of biomass using proximate analysis
E Keybondorian, H Zanbouri, A Bemani, T Hamule
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 39 …, 2017
432017
Artificial intelligence based methods for asphaltenes adsorption by nanocomposites: Application of group method of data handling, least squares support vector machine, and …
MS Mazloom, F Rezaei, A Hemmati-Sarapardeh, MM Husein, ...
Nanomaterials 10 (5), 890, 2020
422020
Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO
A Bemani, A Baghban, S Shamshirband, A Mosavi, P Csiba, ...
arXiv preprint arXiv:1912.05612, 2019
422019
Application of MLP-ANN as a novel predictive method for prediction of the higher heating value of biomass in terms of ultimate analysis
A Darvishan, H Bakhshi, M Madadkhani, M Mir, A Bemani
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 40 …, 2018
412018
Estimating the heat capacity of non-Newtonian ionanofluid systems using ANN, ANFIS, and SGB tree algorithms
R Daneshfar, A Bemani, M Hadipoor, M Sharifpur, HM Ali, I Mahariq, ...
Applied Sciences 10 (18), 6432, 2020
342020
Prediction of pressure in different two-phase flow conditions: machine learning applications
E Khamehchi, A Bemani
Measurement 173, 108665, 2021
332021
Application of novel ANFIS-PSO approach to predict asphaltene precipitation
E Keybondorian, A Taherpour, A Bemani, T Hamule
Petroleum Science and Technology 36 (2), 154-159, 2018
272018
Application of ANFIS-PSO as a novel method to estimate effect of inhibitors on Asphaltene precipitation
P Malmir, M Suleymani, A Bemani
Petroleum Science and Technology 36 (8), 597-603, 2018
242018
Prediction of the interfacial tension between hydrocarbons and carbon dioxide
M Suleymani, A Bemani
Petroleum Science and Technology 36 (3), 227-231, 2018
202018
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Artikler 1–20