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...
Mathematical modeling the dynamics of SARS-CoV-2 infection with antibody-dependent enhancement [0.03%]
抗体依赖性增强作用下的SARS-CoV-2感染动力学的数学建模
Haitao Song,Zepeng Yuan,Shengqiang Liu et al.
Haitao Song et al.
The advent and swift global spread of the novel coronavirus (COVID-19) transmitted by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have caused massive deaths and economic devastation worldwide. Antibody-dependent enhancement...
Detection of multiple waves for COVID-19 and its optimal control through media awareness and vaccination: study based on some Indian states [0.03%]
基于一些印度邦的COVID-19疫情多次反复检测及其通过媒体宣传和疫苗接种实现优化控制的研究
Tridip Sardar,Sk Shahid Nadim,Sourav Rana
Tridip Sardar
COVID-19 is a highly infectious disease, and in very recent times, it has shown a massive impact throughout the globe. Several countries faced the COVID-19 infection waves multiple times. These later waves are more aggressive than the first...
Effects of heterogeneous susceptibility on epidemiological models of reinfection [0.03%]
异质性易感性对再感染流行病学模型的影响
Shidong Zhai,Ming Du,Yuan Wang et al.
Shidong Zhai et al.
This paper studies an epidemic model with heterogeneous susceptibility which generalizes the SIS (susceptible-infected-susceptible), SIR (susceptible-infected-recovered) and SIRI (susceptible-infected-recovered-infected) models. The propose...
Systematic description of COVID-19 pandemic using exact SIR solutions and Gumbel distributions [0.03%]
使用精确SIR解和耿贝尔分布系统地描述COVID-19大流行病
J E Amaro
J E Amaro
An epidemiological study is carried out in several countries analyzing the first wave of the COVID-19 pandemic using the SIR model and Gumbel distribution. The equations of the SIR model are solved exactly using the proper time as a paramet...
A stochastically perturbed co-infection epidemic model for COVID-19 and hepatitis B virus [0.03%]
带有随机扰动的COVID-19和乙型肝炎病毒共感染流行病学模型
Anwarud Din,Saida Amine,Amina Allali
Anwarud Din
A new co-infection model for the transmission dynamics of two virus hepatitis B (HBV) and coronavirus (COVID-19) is formulated to study the effect of white noise intensities. First, we present the model equilibria and basic reproduction num...
Sequential time-window learning with approximate Bayesian computation: an application to epidemic forecasting [0.03%]
基于近似贝叶斯计算的序贯时窗学习及其在流行病预测中的应用
João Pedro Valeriano,Pedro Henrique Cintra,Gustavo Libotte et al.
João Pedro Valeriano et al.
The long duration of the COVID-19 pandemic allowed for multiple bursts in the infection and death rates, the so-called epidemic waves. This complex behavior is no longer tractable by simple compartmental model and requires more sophisticate...
SINDy-SA framework: enhancing nonlinear system identification with sensitivity analysis [0.03%]
基于灵敏度分析增强非线性系统识别的SINDy-SA框架
Gustavo T Naozuka,Heber L Rocha,Renato S Silva et al.
Gustavo T Naozuka et al.
Machine learning methods have revolutionized studies in several areas of knowledge, helping to understand and extract information from experimental data. Recently, these data-driven methods have also been used to discover structures of math...
Mathematical modeling for COVID-19 with focus on intervention strategies and cost-effectiveness analysis [0.03%]
侧重干预策略和成本效益分析的COVID-19数学模型
Yang Deng,Yi Zhao
Yang Deng
The realistic assessments of public health intervention strategies are of great significance to effectively combat the COVID-19 epidemic and the formation of intervention policy. In this paper, an extended COVID-19 epidemic model is devised...