Design of Gudermannian Neuroswarming to solve the singular Emden-Fowler nonlinear model numerically [0.03%]
用于数值求解奇异Emden-Fowler非线性模型的Gudermannian神经群智能设计
Zulqurnain Sabir,Muhammad Asif Zahoor Raja,Dumitru Baleanu et al.
Zulqurnain Sabir et al.
The current investigation is related to the design of novel integrated neuroswarming heuristic paradigm using Gudermannian artificial neural networks (GANNs) optimized with particle swarm optimization (PSO) aid with active-set (AS) algorith...
Design a robust sliding mode controller based on the state and parameter estimation for the nonlinear epidemiological model of Covid-19 [0.03%]
基于状态和参数估计的Covid-19非线性流行病学模型的鲁棒滑模控制器设计
Ehsan Badfar,Effat Jalaeian Zaferani,Amirhossein Nikoofard
Ehsan Badfar
In this research, the challenging problem of Covid-19 mitigation is looked at from an engineering point of view. At first, the behavior of coronavirus in the Iranian and Russian societies is expressed by a set of ordinary differential equat...
The spatiotemporal transmission dynamics of COVID-19 among multiple regions: a modeling study in Chinese provinces [0.03%]
COVID-19在多区域之间的时空传播动力学：中国省份中的建模研究
Qiaojuan Jia,Jiali Li,Hualiang Lin et al.
Qiaojuan Jia et al.
Current explosive outbreak of COVID-19 around the world is a complex spatiotemporal process with hidden interactions between viruses and humans. This study aims at clarifying the transmission patterns and the driving mechanism that contribu...
Estimation and optimal control of the multiscale dynamics of Covid-19: a case study from Cameroon [0.03%]
COVID-19多尺度动力学的估计和最优控制：来自喀麦隆的个案研究
David Jaurès Fotsa-Mbogne,Stéphane Yanick Tchoumi,Yannick Kouakep-Tchaptchie et al.
David Jaurès Fotsa-Mbogne et al.
This work aims at a better understanding and the optimal control of the spread of the new severe acute respiratory corona virus 2 (SARS-CoV-2). A multi-scale model giving insights on the virus population dynamics, the transmission process a...
Nonlinear analysis of a four-dimensional fractional hyper-chaotic system based on general Riemann-Liouville-Caputo fractal-fractional derivative [0.03%]
基于广义Riemann-Liouville-Caputo分数阶微分的四维分数阶超混沌系统的非线性分析
Yuhang Pan
Yuhang Pan
In this study, a four-dimensional fractional hyperchaotic model is analyzed based on general Riemann-Liouville-Caputo (RLC) fractal-fractional derivative (FFD). A series of new operators are constructed using three different elements, namel...
An exploration of fractal-based prognostic model and comparative analysis for second wave of COVID-19 diffusion [0.03%]
基于-fractal的预测模型及二次疫情扩散的对比分析研究
D Easwaramoorthy,A Gowrisankar,A Manimaran et al.
D Easwaramoorthy et al.
The coronavirus disease 2019 (COVID-19) pandemic has fatalized 216 countries across the world and has claimed the lives of millions of people globally. Researches are being carried out worldwide by scientists to understand the nature of thi...
Estimation of exogenous drivers to predict COVID-19 pandemic using a method from nonlinear control theory [0.03%]
利用非线性控制理论中的一种方法估计外生驱动因素以预测COVID-19大流行病
Christoph Hametner,Martin Kozek,Lukas Böhler et al.
Christoph Hametner et al.
The currently ongoing COVID-19 pandemic confronts governments and their health systems with great challenges for disease management. Epidemiological models play a crucial role, thereby assisting policymakers to predict the future course of ...
Modeling and staged assessments of the controllability of spread for repeated outbreaks of COVID-19 [0.03%]
新冠肺炎疫情反复的传播特征及防控应对模拟和分阶段评估新冠肺炎疫情反复的传播可控性
Jianbing Hu,Guoyuan Qi,Xinchen Yu et al.
Jianbing Hu et al.
SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) has been causing an outbreak of a new type of pneumonia globally, and repeated outbreaks have already appeared. Among the studies on the spread of the COVID-19, few studies have i...
Chaotic dynamics in a novel COVID-19 pandemic model described by commensurate and incommensurate fractional-order derivatives [0.03%]
一种新型COVID-19流行病学模型的混沌动力学：分数阶导数的相容和不相容情形
Nadjette Debbouche,Adel Ouannas,Iqbal M Batiha et al.
Nadjette Debbouche et al.
Mathematical models based on fractional-order differential equations have recently gained interesting insights into epidemiological phenomena, by virtue of their memory effect and nonlocal nature. This paper investigates the nonlinear dynam...
A data-driven model of the COVID-19 spread among interconnected populations: epidemiological and mobility aspects following the lockdown in Italy [0.03%]
基于互联人口的COVID-19传播数据驱动模型：意大利封锁后的流行病学和人口流动方面的特点
Paolo Di Giamberardino,Daniela Iacoviello,Federico Papa et al.
Paolo Di Giamberardino et al.
An epidemic multi-group model formed by interconnected SEIR-like structures is formulated and used for data fitting to gain insight into the COVID-19 dynamics and into the role of non-pharmaceutical control actions implemented to limit the ...