Bharat Singhal,Jorge Luis Ocampo-Espindola,K L Nikhil et al.
Bharat Singhal et al.
Network inference, which involves reconstructing the connectivity structure of a network from recorded data, is essential for broadening our understanding of physical, biological, and chemical systems. Although data-driven network inference...
A Time-Dependent SIR Model for COVID-19 With Undetectable Infected Persons [0.03%]
一种用于COVID-19的时变SIR模型（含无法检测感染者）
Yi-Cheng Chen,Ping-En Lu,Cheng-Shang Chang et al.
Yi-Cheng Chen et al.
In this paper, we conduct mathematical and numerical analyses for COVID-19. To predict the trend of COVID-19, we propose a time-dependent SIR model that tracks the transmission and recovering rate at time [Formula: see text]. Using the data...
Yi-Jheng Lin,Che-Hao Yu,Tzu-Hsuan Liu et al.
Yi-Jheng Lin et al.
The group testing approach, which achieves significant cost reduction over the individual testing approach, has received a lot of interest lately for massive testing of COVID-19. Many studies simply assume samples mixed in a group are indep...
Age-Stratified COVID-19 Spread Analysis and Vaccination: A Multitype Random Network Approach [0.03%]
年龄分层的COVID-19传播分析和疫苗接种：多元随机网络方法
Xianhao Chen,Guangyu Zhu,Lan Zhang et al.
Xianhao Chen et al.
The risk of severe illness and mortality from COVID-19 significantly increases with age. As a result, age-stratified modeling for COVID-19 dynamics is the key to study how to reduce hospitalizations and mortality from COVID-19. By taking ad...
Constructions and Comparisons of Pooling Matrices for Pooled Testing of COVID-19 [0.03%]
COVID-19 检测中Pooling矩阵的构造与比较
Yi-Jheng Lin,Che-Hao Yu,Tzu-Hsuan Liu et al.
Yi-Jheng Lin et al.
In comparison with individual testing, group testing is more efficient in reducing the number of tests and potentially leading to tremendous cost reduction. There are two key elements in a group testing technique: (i) the pooling matrix tha...
Adjuvant Therapy System of COVID-19 Patient: Integrating Warning, Therapy, Post-Therapy Psychological Intervention [0.03%]
新型冠状病毒肺炎患者辅助治疗系统：预警、治疗及后期心理干预集成
Miao Li,Yixue Hao,Yaxiong Ma et al.
Miao Li et al.
The 2019 novel coronavirus(COVID-19) spreads rapidly, and the large-scale infection leads to the lack of medical resources. For the purpose of providing more reasonable medical service to COVID-19 patients, we designed an novel adjuvant the...
Towards Large-Scale and Privacy-Preserving Contact Tracing in COVID-19 Pandemic: A Blockchain Perspective [0.03%]
基于区块链的新冠疫情期间的大规模匿名接触者追踪方法研究
Wenzhe Lv,Sheng Wu,Chunxiao Jiang et al.
Wenzhe Lv et al.
Activity-tracking applications and location-based services using short-range communication (SRC) techniques have been abruptly demanded in the COVID-19 pandemic, especially for automated contact tracing. The attention from both public and p...
COVID-19 Networking Demand: An Auction-Based Mechanism for Automated Selection of Edge Computing Services [0.03%]
基于拍卖机制的边缘计算服务自动化选择以应对新冠疫情下的网络需求增加问题研究
Abdulsalam Yassine,M Shamim Hossain
Abdulsalam Yassine
Network and cloud service providers are facing an unprecedented challenge to meet the demand of end-users during the COVID-19 pandemic. Currently, billions of people around the world are ordered to stay at home and use remote connection tec...
Zhaoquan Gu,Le Wang,Xiaolong Chen et al.
Zhaoquan Gu et al.
The COVID-19 pandemic has caused serious consequences in the last few months and trying to control it has been the most important objective. With effective prevention and control methods, the epidemic has been gradually under control in som...
Graph Matching between Bipartite and Unipartite Networks: to Collapse, or not to Collapse, that is the Question [0.03%]
二部制网络与非二部制网络之间的图匹配：是合并还是不合并，这就是问题所在
Jesús Arroyo,Carey E Priebe,Vince Lyzinski
Jesús Arroyo
Graph matching consists of aligning the vertices of two unlabeled graphs in order to maximize the shared structure across networks; when the graphs are unipartite, this is commonly formulated as minimizing their edge disagreements. In this ...