An SEQAIHR model to study COVID-19 transmission and optimal control strategies in Hong Kong, 2022 [0.03%]
用于研究2022年香港COVID-19传播和最佳控制策略的SEQAIHR模型
Pritam Saha,Sudhanshu Kumar Biswas,Md Haider Ali Biswas et al.
Pritam Saha et al.
During the COVID-19 pandemic, one of the major concerns was a medical emergency in human society. Therefore it was necessary to control or restrict the disease spreading among populations in any fruitful way at that time. To frame out a pro...
Bocheng Liu,Yiyuan Xie,Weichen Liu et al.
Bocheng Liu et al.
The coronavirus disease 2019 (COVID-19) has spread worldwide in unprecedented speed, and diverse negative impacts have seriously endangered human society. Accurately forecasting the number of COVID-19 cases can help governments and public h...
Giovani L Vasconcelos,Nathan L Pessoa,Natan B Silva et al.
Giovani L Vasconcelos et al.
A generalized pathway model, with time-dependent parameters, is applied to describe the mortality curves of the COVID-19 disease for several countries that exhibit multiple waves of infections. The pathway approach adopted here is formulate...
Nonlinear dynamic epidemiological analysis of effects of vaccination and dynamic transmission on COVID-19 [0.03%]
疫苗和动态传播对COVID-19影响的非线性动力学流行病学分析
Prashant N Kambali,Amirhassan Abbasi,C Nataraj
Prashant N Kambali
This paper is concerned with nonlinear modeling and analysis of the COVID-19 pandemic. We are especially interested in two current topics: effect of vaccination and the universally observed oscillations in infections. We use a nonlinear Sus...
Pseudorandom number generator based on novel 2D Hénon-Sine hyperchaotic map with microcontroller implementation [0.03%]
基于新型的二维Hénon-Sine超混沌映射和单片机实现的伪随机数生成器
Daniel Murillo-Escobar,Miguel Ángel Murillo-Escobar,César Cruz-Hernández et al.
Daniel Murillo-Escobar et al.
Recently, chaotic maps have been considered to design pseudorandom number generator (PRNG). However, some chaotic maps present security disadvantages, such as low uniformity and low randomness properties. Nowadays, chaos-based PRNGs are use...
Role of fractional derivatives in the mathematical modeling of the transmission of Chlamydia in the United States from 1989 to 2019 [0.03%]
分数阶导数在美国1989年至2019年衣原体传播的数学建模中的作用
M Vellappandi,Pushpendra Kumar,V Govindaraj
M Vellappandi
Nowadays, the mathematical modeling of infectious diseases is a big trend worldwide. The mathematical models help us to forecast future outbreaks of diseases in the presence of present data. In this article, we represent a model of the tran...
Estimations and Control of Julia Sets of the SIS Model Perturbed by Noise [0.03%]
噪声扰动的SIS模型Julia集的估计与控制
Liheng Xie,Yongping Zhang
Liheng Xie
The estimations and control of Julia sets of the SIS(susceptible-infectious-susceptible) model under noise perturbation are studied. At first, a discrete SIS model is introduced, and the effects of additive and multiplicative noises on the ...
A mathematical model reveals the influence of NPIs and vaccination on SARS-CoV-2 Omicron Variant [0.03%]
数学模型揭示了公共防疫措施和疫苗对SARS-CoV-2奥米克戎变异株的影响
Bin-Guo Wang,Zhi-Cheng Wang,Yan Wu et al.
Bin-Guo Wang et al.
An SVEIR SARS-CoV-2 Omicron variant model is proposed to provide some insights to coordinate non-pharmaceutical interventions (NPIs) and vaccination. Mathematically, we define the basic reproduction number R 0 and the effective reproductio...
Visibility graph for time series prediction and image classification: a review [0.03%]
可见性图在时间序列预测和图像分类中的应用综述
Tao Wen,Huiling Chen,Kang Hao Cheong
Tao Wen
The analysis of time series and images is significant across different fields due to their widespread applications. In the past few decades, many approaches have been developed, including data-driven artificial intelligence methods, mechani...
An improved sparse identification of nonlinear dynamics with Akaike information criterion and group sparsity [0.03%]
基于赤池信息准则和组稀疏性的SINDy算法改进方法
Xin Dong,Yu-Long Bai,Yani Lu et al.
Xin Dong et al.
A crucial challenge encountered in diverse areas of engineering applications involves speculating the governing equations based upon partial observations. On this basis, a variant of the sparse identification of nonlinear dynamics (SINDy) a...