In the structure of ANFIS, there are two different parameter groups: premise and
consequence. Training ANFIS means determination of these parameters using an …

Ionic liquids (ILs) offer a wide range of promising applications due to their unique and
designable properties compared to conventional solvents. Further development and …

As the penetration rate of solar energy in the grid continues to enhance, solar power
photovoltaic generation forecasts have become an indispensable aspect of mechanism …

Nowadays, nanofluids are broadly utilized for various engineering and industrial systems
including heat exchangers, power plants, air-conditioning, etc. The helically coiled tube heat …

One of the major properties of biodiesel fuels is cetane number (CN) which expresses the
ignition characteristics and quality of motor power. The main idea of this work was proposing …

In this work, we conducted a visualized bibliometric analysis to map the research trends of
machine learning in engineering (MLE) based on articles indexed in the Web of Science …

Accurate prediction of crop yield is essential for agricultural trading, market risk management
and food security. Although various statistical models and machine learning models have …

In the current study, the ability of three data-driven methods of Gene Expression
Programming (GEP), M5 model tree (M5), and Support Vector Regression (SVR) were …

Solar-driven water–electricity cogeneration is a promising strategy for tackling water scarcity
and power shortages. However, comprehensive reviews on performance, scalability …

Dew point temperature (DPT) is known to fluctuate in space and time regardless of the
climatic zone considered. The accurate estimation of the DPT is highly significant for various …