In this work, we examine a fractional-order model for simulating the spread of the
monkeypox virus in the human host and rodent populations. The employment of the …

In the digital age, cyber-attacks and data breaches pose complex challenges for
organizations operating in cyberspace. Machine learning offers a promising solution to …

We are concerned with the analysis of the neural networks of worms in wireless sensor
networks (WSN). The concerned process is considered in the form of a mathematical system …

This study introduces a fractional order model to investigate the dynamics of polio disease
spread, focusing on its significance, unique results, and conclusions. We emphasize the …

Pneumonia is a highly transmitted disease in children. According to the World Health
Organization (WHO), the most affected regions include South Asia and sub-Saharan Africa …

In this paper, we focus on the existence of Hilfer fractional stochastic differential systems via
almost sectorial operators. The main results are obtained by using the concepts and ideas …

The study of dynamics of epidemics, especially, double epidemics, has got paramount
importance in the present days, since various health risks, an individual is exposed to due to …

This paper generalizes the integer-order model of the tumour growth into the fractional-order
domain, where the long memory dependence of the fractional derivative can be a better fit …

A new model of fractional for the influence of consciousness initiatives on epidemic
incidences (ICIEI) is described in this research. The fractional Caputo operator (FCO) is …

This study shows the design of the Meyer wavelet neural networks (WNNs) to perform the
numerical solutions of the spread of computer virus with kill signals, ie SEIR-KS system. The …