Background One in seven households in England live in accommodation not meeting housing quality standards. Low-quality ...

Volumetric Karl Fischer titration accurately determines water content in various samples, adhering to European Pharmacopoeia ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

During the course of operation, businesses accumulate all kinds of data such as numbers related to sales performance and profit, and information about clients. Companies often seek out employees with ...

ABSTRACT: This research aims to develop reliable models using machine learning algorithms to precisely predict Total Dissolved Solids (TDS) in wells of the Permian basin, Winkler County, Texas. The ...

Kernel regression is a non-parametric technique used to estimate the conditional expectation of a random variable. Kernel regression works by weighting nearby observations more heavily than those ...