Resistance–capacitance optimizer: a physics-inspired population-based algorithm for numerical and industrial engineering computation problems
S Ravichandran, P Manoharan, P Jangir… - Scientific Reports, 2023 - nature.com
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 …
Resistance Capacitance Optimization Algorithm (RCOA)—a new, physics-inspired …
[HTML][HTML] Intelligent neuro-computing to analyze the awareness programs of fractional epidemic system outbreaks
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 …
incidences (ICIEI) is described in this research. The fractional Caputo operator (FCO) is …
Numerical treatment for mathematical model of farming awareness in crop pest management
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 …
which has a major impact on global food security. Pest management also emphasizes the …
Behavioral propagation based on passionate psychology on single networks with limited contact
S Liu, Y Tian, X Zhu - Entropy, 2023 - mdpi.com
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 …
rarely studied on complex networks; so, it needs to be explored in more scenarios. In fact …
[HTML][HTML] Stochastic neuro-swarming intelligence paradigm for the analysis of magneto-hydrodynamic Prandtl–Eyring fluid flow with diffusive magnetic layers effect over …
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 …
neural networks, has emerged as a pivotal advancement in the field of computational fluid …
Stochastic Runge–Kutta for numerical treatment of dengue epidemic model with Brownian uncertainty
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 …
manage, and control the spread of infectious diseases. This research focuses on conducting …
Optimal Control for Virus Spread in Network: A Mathematical Model with Saturated Incidence Rate
This study explores dynamic analysis and optimal control strategies for modeling the
propagation of computer viruses in point-to-group information networks, addressing the …
propagation of computer viruses in point-to-group information networks, addressing the …
[引用][C] Intelligent adaptive networks for chaos analysis in stochastic SIS differential epidemic model with the impact of unpredictable environmental factors
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 …
unpredictable environmental factors on the spread of infections. A stochastic non-linear SIS …