Due to the digitization and Internet of Things revolutions, the present electronic world has a
wealth of cybersecurity data. Efficiently resolving cyber anomalies and attacks is becoming a …

Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …

There has been a recent shift toward using big data in the administration of educational
institutions. New complex data infrastructures with human and non-human agents enable …

The adoption of business analytics (BA) has become increasingly important for
organizations seeking to gain a competitive edge in today's data-driven business landscape …

K-means algorithm is one of the well-known unsupervised machine learning algorithms. The
algorithm typically finds out distinct non-overlap** clusters in which each point is assigned …

Stock market's volatile and complex nature makes it difficult to predict the market situation.
Deep Learning is capable of simulating and analyzing complex patterns in unstructured …

In this paper we present a new G family of probability distributions. Some of its mathematical
properties are derived. Based on a special member of the new family, a single acceptance …

The objectives of this study are to propose a new two-parameter lifespan distribution and
explain some of the most essential properties of that distribution. Through the course of this …

This paper introduces a new extension of the Gompertz function for estimating the survival
rates. The actual survival rates from USA life tables 2015 is considered for assessment …

Several researchers have used standard time series models to analyze future patterns of
COVID-19 and the Causal impact of vaccinations in various countries. Bayesian structural …