SecDH: Security of COVID-19 images based on data hiding with PCA [0.03%]
SecDH：基于PCA数据隐藏的COVID-19图像安全
O P Singh,Amit Kumar Singh,Amrit Kumar Agrawal et al.
O P Singh et al.
Nowadays, image security and copyright protection become challenging, especially after the COVID-19 pandemic. In the paper, we develop SecDH as a medical data hiding scheme, which can guarantee the security and copyright protection of the C...
A coalitional game-based joint monitoring mechanism for combating COVID-19 [0.03%]
基于联盟博弈的联合监控机制在抗击COVID-19中的应用研究
Da-Wen Huang,Bing Liu,Jichao Bi et al.
Da-Wen Huang et al.
In the absence of effective treatment for COVID-19, disease prevention and control have become a top priority across the world. However, the general lack of effective cooperation between communities makes it difficult to suppress the commun...
3D face recognition algorithm based on deep Laplacian pyramid under the normalization of epidemic control [0.03%]
基于深度拉普拉斯金字塔归一化疫情控制的三维人脸识别算法
Weiyi Kong,Zhisheng You,Xuebin Lv
Weiyi Kong
Under the normalization of epidemic control in COVID-19, it is essential to realize fast and high-precision face recognition without feeling for epidemic prevention and control. This paper proposes an innovative Laplacian pyramid algorithm ...
COVID-19 health data analysis and personal data preserving: A homomorphic privacy enforcement approach [0.03%]
COVID-19健康数据的分析与个人数据保护：一种同态隐私处理方法
Chandramohan Dhasarathan,Mohammad Kamrul Hasan,Shayla Islam et al.
Chandramohan Dhasarathan et al.
COVID-19 data analysis and prediction from patient data repository collected from hospitals and health organizations. Users' credentials and personal information are at risk; it could be an unrecoverable issue worldwide. A Homomorphic ident...
Road crash risk prediction during COVID-19 for flash crowd traffic prevention: The case of Los Angeles [0.03%]
COVID-19期间用于防止瞬时人群交通的风险预测：以洛杉矶为例
Junbo Wang,Xiusong Yang,Songcan Yu et al.
Junbo Wang et al.
Road crashes are a major problem for traffic safety management, which usually causes flash crowd traffic with a profound influence on traffic management and communication systems. In 2020, the sudden outbreak of the novel coronavirus diseas...
A comprehensive review on variants of SARS-CoVs-2: Challenges, solutions and open issues [0.03%]
关于SARS-CoVs-2变异体的全面回顾：挑战、解决方案及未决问题
Deepanshi,Ishan Budhiraja,Deepak Garg et al.
Deepanshi et al.
SARS-CoV-2 is an infected disease caused by one of the variants of Coronavirus which emerged in December 2019. It is declared a pandemic by WHO in March 2020. COVID-19 outbreak has put the world on a halt and is a major threat to the public...
Jun Dai,Qunpeng Hu,Xu Liu et al.
Jun Dai et al.
As COVID-19 continues to spread, people are unable to move freely when their residence region is temporarily lockdown, supplies cannot normally enter into such zones, leading to the shortage of supplies in these areas. Thus to ensure the de...
Julio C H Soto,Iandra Galdino,Egberto Caballero et al.
Julio C H Soto et al.
The COVID-19 pandemic further highlighted the need to use low-cost remote monitoring procedures for medical patients. Since the results reported in the literature have shown that the use of Channel State Information (CSI) from Wi-Fi network...
A blockchain-based infection tracing and notification system by non-fungible tokens [0.03%]
基于区块链的非同质化代币感染追踪和通知系统
Alessio Ferone,Antonio Della Porta
Alessio Ferone
SARS-CoV2 pandemic is heavily affecting our lives. Many actions have been undertaken to slow down its expansion and, among the others, contact tracing applications are the less invasive to monitor the spread of the virus. The idea behind co...
A fog assisted intelligent framework based on cyber physical system for safe evacuation in panic situations [0.03%]
基于网络物理系统的雾辅助智能疏散框架研究及其在恐慌情况中的应用
Sandeep Kumar Sood,Keshav Singh Rawat
Sandeep Kumar Sood
In the current scenario of the COVID-19 pandemic and worldwide health emergency, one of the major challenges is to identify and predict the panic health of persons. The management of panic health and on-time evacuation prevents COVID-19 inf...