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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.
Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm
In the current study, for predicting wind speed at target stations in the north of Iran, the combination of a multi-layer perceptron model (MLP) with the Whale Optimization Algorithm (WOA) used to build new method (MLP-WOA) with a limited set of data (2004-2014).
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.
Intelligent Road Inspection with Advanced Machine Learning; Hybrid Prediction Models for Smart Mobility and Transportation Maintenance Systems
Prediction models in mobility and transportation maintenance systems have been dramatically improved through using machine learning methods.
Coronary Artery Disease Diagnosis; Ranking the Significant Features Using Random Trees Model
Among the vast number of heart diseases, the coronary artery disease (CAD) is considered as a common cardiovascular disease with a high death rate.
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.
Simulation of Turbulent Flow around a Generic High-Speed Train using Hybrid Models of RANS Numerical Method with Machine Learning
So, drag, lift, and side forces and also minimum and a maximum of pressure coefficients for mentioned wind directions and velocity are predicted and compared using statistical parameters.
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.
Sensitivity study of ANFIS model parameters to predict the pressure gradient with combined input and outputs hydrodynamics parameters in the bubble column reactor
This new process of mapping inputs and outputs data provides a framework to fully understand the flow in the fluid domain in a short time of fuzzy structure calculation.
Particle swarm optimization model to predict scour depth around bridge pier
To improve the efficiency of the proposed model, individual equations are derived for laboratory and field data.
