Dew water is water droplets formed due to condensation of atmospheric water vapor on
surfaces of temperature below its dew point temperature. Dew water can be seen as a …

Artificial intelligence through deep neural networks is now widely used in a variety of
applications that have profoundly altered human livelihoods in a variety of ways. People's …

Water temperature in rivers is a crucial environmental factor with the ability to alter hydro-
ecological as well as socio-economic conditions within a catchment. The development of …

The dew point temperature is a significant element particularly required in various
hydrological, climatological and agronomical related researches. This study proposes an …

Crops and livestock in most of the southeastern United States are susceptible to potential
losses due to extreme cold and heat. However, given suitable warning, agricultural and …

The current study investigates an improved version of Least Square Support Vector
Machines integrated with a Bat Algorithm (LSSVM-BA) for modeling the dissolved oxygen …

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 …

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 …

This paper presents a review on the application of neural networks for the estimation,
forecasting, monitoring, and classification of exogenous environmental variables that affect …

Air temperature as a major climatic component is important in land evaluation, water
resources planning and management, irrigation scheduling and agro-hydrologic planning …