Sudeep Tanwar,Aparna Kumari,Darshan Vekaria et al.
Sudeep Tanwar et al.
The proliferating outbreak of COVID-19 raises global health concerns and has brought many countries to a standstill. Several restrain strategies are imposed to suppress and flatten the mortality curve, such as lockdowns, quarantines, etc. A...
LMNet: Lightweight multi-scale convolutional neural network architecture for COVID-19 detection in IoMT environment [0.03%]
轻量级多尺度卷积神经网络体系结构在IoMT环境中用于检测COVID-19
Vishwajeet Dwivedy,Harsh Deep Shukla,Pradeep Kumar Roy
Vishwajeet Dwivedy
The COVID-19 disease, initially known as SARS-CoV-2, was first reported in early December 2019 and has caused immense damage to humans globally. The most widely used clinical screening method for COVID-19 is Reverse Transcription Polymerase...
Yichun Wu,Yaqi Sun,Mugang Lin
Yichun Wu
In 2019, a new strain of coronavirus pneumonia spread quickly worldwide. Viral propagation may be simulated using the Susceptible Infectious Removed (SIR) model. However, the SIR model fails to consider that separation of patients in the CO...
M A Jabbar,Shishir Kumar Shandilya,Ajit Kumar et al.
M A Jabbar et al.
The sudden outbreak of the novel coronavirus disease in 2019, known as COVID-19 has impacted the entire globe and has forced governments of various countries to a partial or full lockdown in the fear of the rapid spread of this disease. The...
A novel deep fusion strategy for COVID-19 prediction using multimodality approach [0.03%]
一种用于COVID-19预测的新型深度融合多模态策略
Ankush Manocha,Munish Bhatia
Ankush Manocha
Over the last two years, the novel coronavirus has become a significant threat to the health of the public, and numerous approaches are developed to determine the symptoms of COVID-19. To deal with the complex symptoms of COVID-19, a Deep L...
Improving performance of classifiers for diagnosis of critical diseases to prevent COVID risk [0.03%]
提高分类器性能以诊断危重疾病预防COVID风险
Vinod Kumar,Gotam Singh Lalotra,Ravi Kant Kumar
Vinod Kumar
The risk of developing COVID-19 and its variants may be higher in those with pre-existing health conditions such as thyroid disease, Hepatitis C Virus (HCV), breast tissue disease, chronic dermatitis, and other severe infections. Early and ...
Designing evaluation framework for the empirical assessment of COVID-19 mobile apps in Pakistan [0.03%]
巴基斯坦COVID-19手机应用程序实证评估框架的设计与应用
Yasir Ali,Habib Ullah Khan
Yasir Ali
The significant proliferation in the mobile health applications (Apps) amidst Coronaviruses disease 2019 (COVID-19) resulted in decision making problems for healthcare professionals, decision makers and mobile users in Pakistan. This decisi...
Husam Ali Abdulmohsin,Belal Al-Khateeb,Samer Sami Hasan et al.
Husam Ali Abdulmohsin et al.
Due to the COVID-19 epidemic and the curfew caused by it, many people have sought to find an ADPS on the internet in the last few years. This hints to a new age of medical treatment, all the more so if the number of internet users continues...
Using honeypots to model botnet attacks on the internet of medical things [0.03%]
利用诱饵系统模拟医疗事物网络中的僵尸网络攻击
Huanran Wang,Hui He,Weizhe Zhang et al.
Huanran Wang et al.
Corona Virus Disease 2019 (COVID-19) has led to an increase in attacks targeting widespread smart devices. A vulnerable device can join multiple botnets simultaneously or sequentially. When different attack patterns are mixed with attack re...
An intuitionistic fuzzy decision support system for COVID-19 lockdown relaxation protocols in India [0.03%]
一种关于印度COVID-19封锁缓解协议的直觉模糊决策支持系统
S Aicevarya Devi,A Felix,Samayan Narayanamoorthy et al.
S Aicevarya Devi et al.
In January 2020, the World Health Organization (WHO) identified a world-threatening virus, SARS-CoV-2. To diminish the virus spread rate, India implemented a six-month-long lockdown. During this period, the Indian government lifted certain ...