The primary objective of this study is to delve into the application and validation of the
Resistance Capacitance Optimization Algorithm (RCOA)—a new, physics-inspired …

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 …

The most important factor for increasing crop production is pest and pathogen resistance,
which has a major impact on global food security. Pest management also emphasizes the …

Passionate psychology behavior is a common behavior in everyday society but has been
rarely studied on complex networks; so, it needs to be explored in more scenarios. In fact …

In recent years, the integration of stochastic techniques, especially those based on artificial
neural networks, has emerged as a pivotal advancement in the field of computational fluid …

The current challenge faced by the global research community is how to effectively address,
manage, and control the spread of infectious diseases. This research focuses on conducting …

This study explores dynamic analysis and optimal control strategies for modeling the
propagation of computer viruses in point-to-group information networks, addressing the …

In this study, an intelligent computing framework is presented to explore the influence of
unpredictable environmental factors on the spread of infections. A stochastic non-linear SIS …