Despite the massive diversity in the modeling requirements for practical hydrological
applications, there remains a need to develop more reliable and intelligent expert systems …

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 …

In recent years more attention has been paid to renewable and clean sources of energy like
wind. Due to the uncertainties related to wind turbines, issues of energy storage are …

Air temperature modelling is a paramount task for practical applications such as agricultural
production, designing energy-efficient buildings, harnessing of solar energy, health-risk …

Groundwater is an especially important freshwater source for water supplies in the Maku
area of northwest Iran. The groundwater of the area contains high concentrations of fluoride …

Dew point temperature (T dew) plays an important role in hydrology, meteorology, and other
related research. This study evaluated the ability of a new machine learning model (hybrid …

Capabilities of the bat algorithm optimized extreme learning machine (Bat-ELM) model for
dew point temperature (T dew) estimation were evaluated in this study, in comparison with …

In the present research, gene expression programming (GEP) was used to estimate daily
dew point temperature (T dew) in Tabriz and Urmia which are located in the northwest of …

Accurate estimation of dew point temperature (Tdew) has a crucial role in sustainable water
resource management. This study investigates kernel extreme learning machine (KELM) …

Owing to the importance of dew point temperature (T dew) as a determining factor in
hydrological parameters, especially water vapor and evaporation, we aim for the estimation …