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Comparative analysis of machine learning models for Ammonia Capture of Ionic Liquids
Industry uses various solvents in the processes of refrigeration and ventilation.
Evaluation of electrical efficiency of photovoltaic thermal solar collector
Solar energy is a renewable resource of energy that is broadly utilized and has the least emissions among renewable energies.
Extreme learning machine-based model for Solubility estimation of hydrocarbon gases in electrolyte solutions
Calculating hydrocarbon components solubility of natural gases is known as one of the important issues for operational works in petroleum and chemical engineering.
Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO$_2$
In the present work, a novel and the robust computational investigation is carried out to estimate solubility of different acids in supercritical carbon dioxide.
Developing an ANFIS PSO Model to Estimate Mercury Emission in Combustion Flue Gases
Accurate prediction of mercury content emitted from fossil fueled power stations is of utmost important for environmental pollution assessment and hazard mitigation.
