Crop yield and its prediction are crucial in agricultural production planning. This study
investigates and predicts arabica coffee yield in order to match the market demand, using …

The present research work focused on predicting the electrical conductivity (EC) of surface
water in the Upper Ganga basin using four machine learning algorithms: multilayer …

Groundwater quality assessment and prediction (GQAP) is vital for protecting groundwater
resources. Traditional GQAP methods can not adequately capture the complex relationships …

The traditional determination of optimum coagulant doses in drinking water treatment plants
(WTPs) using the jar test technique is time-consuming, expensive, significantly influenced by …

Sedimentary rocks provide information on previous environments on the surface of the
Earth. As a result, they are the principal narrators of the former climate, life, and important …

Various techniques have been researched and introduced in water treatment plants to
optimise treatment and management processes. This paper presents a solution that can …

In this study, artificial neural networks (ANNs) were used to build a correlation between the
low-medium rank coal elements and the coal pyrolysis process parameters and product …

Solid oxide fuel cells (SOFCs) are an efficient, reliable and clean source of energy.
Predictive modeling and analysis of their performance is becoming increasingly important …

Non-carcinogenic health risk assessment and prediction of pollution indexing of
groundwater around Osisioma, Nigeria, using artificial neural networks and multi-linear …

Cooling water towers are commonly used in industrial and commercial applications.
Industrial sites frequently have harsh environments, with certain characteristics such as poor …