In different studies in the field of healthcare, big data analytics technology has been shown
to be effective in observing the behaviour of data, of which analysed to allow the discovery of …

This paper presents an intelligent photovoltaic (PV) fault detection system using Adaptive
Neuro-Fuzzy Inference System (ANFIS) methodology. To accomplish this objective, it is …

Hydro-agrological research considers the reference evapotranspiration (ETo), driven by
meteorological variables, crucial for achieving precise irrigation in precision agriculture. ETo …

Wind speed prediction plays an essential role in wind energy utilization. However, most
existing studies of wind speed forecasting used data from one location to build models and …

This paper presents the modeling, design, and experimental analysis of an Automatic
Generation Control (AGC) for a hydropower plant using Adaptive-Neuro-Fuzzy Inference …

This study involves an artificial intelligence approach in the optimization of hydrothermal
liquefaction (HTL) of biomass feedstock. A Decision Support System (DSS) was developed …

The exchange rate forecasting plays an important role in the economic and financial fields.
Oil price fluctuations have a great impact on the country's economic activity. Based on the …

There are many problems involved in the evaluation of variants of construction projects. One
of the most difficult tasks is to establish evaluation criteria and assign them values, and …

In this study, a function approximation procedure is used, which called artificial neural
network (ANN), according to the experimental results of the temperature of cutting region …

Accurate estimation of reference crop evapotranspiration (ET 0) is of great significance to
crop water use and agricultural water resources management. This study evaluated the …