25 citations · 25 across the 3 of their papers we have counts for
5 papers
Extreme learning machine-based model for Solubility estimation of hydrocarbon gases in electrolyte solutions
Narjes Nabipour, Amir Mosavi, Alireza Baghban +2
Calculating hydrocarbon components solubility of natural gases is known as one of the important issues for operational works in petroleum and chemical engineering. In this work, a…
Comparative analysis of machine learning models for Ammonia Capture of Ionic Liquids
Shahaboddin Shamshirband, Narjes Nabipour, Masoud Hadipoor +2
Industry uses various solvents in the processes of refrigeration and ventilation. Among them, the Ionic liquids (ILs) as the relatively new solvents, are known for their proven eco…
Evaluation of electrical efficiency of photovoltaic thermal solar collector
Mohammad Hossein Ahmadi, Alireza Baghban, Milad Sadeghzadeh +5
Solar energy is a renewable resource of energy that is broadly utilized and has the least emissions among renewable energies. In this study, machine learning methods of artificial…
Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO
Amin Bemani, Alireza Baghban, Shahaboddin Shamshirband +3
In the present work, a novel and the robust computational investigation is carried out to estimate solubility of different acids in supercritical carbon dioxide. Four different alg…
Developing an ANFIS PSO Model to Estimate Mercury Emission in Combustion Flue Gases
Shahaboddin Shamshirband, Masoud Hadipoor, Alireza Baghban +3
Accurate prediction of mercury content emitted from fossil fueled power stations is of utmost important for environmental pollution assessment and hazard mitigation. In this paper,…