Abstract Machine learning (ML) pervades an increasing number of academic disciplines and
industries. Its impact is profound, and several fields have been fundamentally altered by it …

Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …

Abstract Machine learning and data mining-based approaches to prediction and detection of
heart disease would be of great clinical utility, but are highly challenging to develop. In most …

The COVID-19 pandemia due to the SARS-CoV-2 coronavirus, in its first 4 months since its
outbreak, has to date reached more than 200 countries worldwide with more than 2 million …

With the tremendous revival of artificial intelligence, predictive maintenance (PdM) based on
data-driven methods has become the most effective solution to address smart manufacturing …

Federated learning (FL) involves training machine learning models over distributed edge
nodes (ie, workers) while facing three critical challenges, edge heterogeneity, Non-IID data …

This study explored and reviewed the logistic regression (LR) model, a multivariable method
for modeling the relationship between multiple independent variables and a categorical …

In machine learning applications for online product offerings and marketing strategies, there
are often hundreds or thousands of features available to build such models. Feature …

In this study, public opinion and emotions regarding different stages of the Covid-19
pandemic from the outbreak of the disease to the distribution of vaccines were analyzed to …

The sudden outbreak of coronavirus disease 2019 (COVID-19) revealed the need for fast
and reliable automatic tools to help health teams. This paper aims to present …