44 results on '"Bemani, Amin"'
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2. Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO$_2$
3. Machine learning-based estimation of nano-lubricants viscosity in different operating conditions
4. An insight into the microorganism growth prediction by means of machine learning approaches
5. Rigorous modeling of frictional pressure loss in inclined annuli using artificial intelligence methods
6. Prediction of pressure in different two-phase flow conditions: Machine learning applications
7. Modeling of cetane number of biodiesel from fatty acid methyl ester (FAME) information using GA-, PSO-, and HGAPSO- LSSVM models
8. 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
9. An insight into the estimation of fatty acid methyl ester based biodiesel properties using a LSSVM model
10. Prediction of solubility of N-alkanes in supercritical CO2 using RBF-ANN and MLP-ANN
11. An Insight into the Prediction of Scale Precipitation in Harsh Conditions Using Different Machine Learning Algorithms
12. An Insight into the Microorganism Growth Prediction by Means of Machine Learning Approaches
13. Estimating CO2-Brine diffusivity using hybrid models of ANFIS and evolutionary algorithms
14. Estimating the Heat Capacity of Non-Newtonian Ionanofluid Systems Using ANN, ANFIS, and SGB Tree Algorithms
15. Modeling of CO 2 absorption capabilities of amino acid solutions using a computational scheme
16. Artificial Intelligence Based Methods for Asphaltenes Adsorption by Nanocomposites: Application of Group Method of Data Handling, Least Squares Support Vector Machine, and Artificial Neural Networks
17. Estimating CO2-Brine diffusivity using hybrid models of ANFIS and evolutionary algorithms
18. Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO2
19. An insight into the modeling of sulfur content of sour gases in supercritical region
20. Experimental study of asphaltene deposition: Focus on critical size and temperature effect
21. Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO2
22. Application of ANFIS and LSSVM strategies for estimating thermal conductivity enhancement of metal and metal oxide based nanofluids
23. Modeling of CO2 absorption capabilities of amino acid solutions using a computational scheme.
24. Applying ANN, ANFIS and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO2.
25. Application of MLP-ANN as a novel predictive method for prediction of the higher heating value of biomass in terms of ultimate analysis
26. Application of ANFIS-GA algorithm for forecasting oil flocculated asphaltene weight percentage in different operation conditions
27. Applying ANFIS-PSO algorithm as a novel accurate approach for prediction of gas density
28. Applying Fuzzy c-means approach as a novel method for prediction of interfacial tension between carbon dioxide and hydrocarbons
29. Application of ANFIS-PSO as a novel method to estimate effect of inhibitors on Asphaltene precipitation
30. Utilization of Grid partitioning based Fuzzy inference system approach as a novel method to estimate solubility of hydrocarbons in carbon dioxide
31. Applying Grid partitioning based Fuzzy inference system as novel algorithm to predict Asphaltene precipitation
32. Application of Fuzzy c-means algorithm for the estimation of Asphaltene precipitation
33. Application of novel ANFIS-PSO approach to predict asphaltene precipitation
34. Prediction of the interfacial tension between hydrocarbons and carbon dioxide
35. Application of ANFIS-PSO algorithm as a novel method for estimation of higher heating value of biomass
36. Application of MLP-ANN strategy to predict higher heating value of biomass in terms of proximate analysis
37. Parametric analysis of the effect of operation parameters on asphaltene deposition: An experimental study
38. Estimation of the higher heating value of biomass using proximate analysis
39. Experimental and modeling studies of the effects of different nanoparticles on asphaltene adsorption
40. Application of ANFIS-PSO algorithm as a novel method for estimation of higher heating value of biomass.
41. Prediction of the interfacial tension between hydrocarbons and carbon dioxide.
42. Application of Fuzzy c-means algorithm for the estimation of Asphaltene precipitation.
43. Application of novel ANFIS-PSO approach to predict asphaltene precipitation.
44. Prediction of solubility of N-alkanes in supercritical CO2using RBF-ANN and MLP-ANN
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