The linear regression is critical for data modelling, especially for scientists. Nevertheless,
with the plenty of high-dimensional data, there are data with more explanatory variables …

Drop size is a crucial parameter for the efficient design and operation of the rotating disc
contactor (RDC) in liquid–liquid extraction. The current work focuses on providing local and …

Today, computing has become an obligation in the lives of individuals and institutions alike.
This magical sector uses and develops very rich, important, and sensitive tools and …

Lung cancer stands as a prevalent respiratory ailment worldwide, with its incidence
intricately linked to air pollution. Investigating this relationship is pivotal for implementing …

In recent years, the significance of machine learning in agriculture has surged, particularly in
post-harvest monitoring for sustainable aquaculture. Challenges like heterogeneity …

Smart precision farming leverages IoT, cloud computing, and big data to optimize
agricultural productivity, lower costs, and promote sustainability through digitalization and …

Smart precision farming combines IoT, cloud computing, and big data to optimize
agricultural productivity, reduce costs, and advance sustainability through digitalization and …

Following the increasing number of high dimensional data, selecting relevant features has
always been better handled by filter feature selection techniques due to its improved …

Amidst the surge in high-dimensional data, filter feature selection techniques have emerged
as preferred tools for selecting relevant features, owing to their advantages such as …

In clustered data, observations within a cluster show similarity between themselves because
they share common features different from observations in the other clusters. In a given …