This study analyzed the Coronavirus (COVID-19) crisis from the angle of cyber-crime,
highlighting the wide spectrum of cyberattacks that occurred around the world. The modus …

Selecting relevant feature subsets is vital in machine learning, and multiclass feature
selection is harder to perform since most classifications are binary. The feature selection …

It is extremely difficult to track down the original source of sensitive data from a variety of
sources in the cloud during transit and processing. For instance, data provenance, which …

Covid text identification (CTI) is a crucial research concern in natural language processing
(NLP). Social and electronic media are simultaneously adding a large volume of Covid …

Feature classification in digital medical images like mammography presents an optimization
problem which researchers often neglect. The use of a convolutional neural network (CNN) …

This paper presented an exhaustive survey on the security and privacy issues of drones.
These security concerns were thoroughly dissected, particularly the aspect of cybersecurity …

The growing increase in groundwater (GW) salinization in the coastal aquifers has reached
an alarming socio-economic menace in Saudi Arabia and various places globally due to …

In text classification, it is necessary to perform feature selection to alleviate the curse of
dimensionality caused by high-dimensional text data. In this paper, we utilize class term …

The African Vulture Optimization Algorithm (AVOA) is inspired by African vultures' feeding
and orienting behaviors. It comprises powerful operators while maintaining the balance of …

Feature Selection (FS) aims to ameliorate the classification rate of dataset models by
selecting only a small set of appropriate features from the initial range of features. In …