A hybrid random forest deep learning classifier empowered edge cloud architecture for COVID-19 and pneumonia detection [0.03%]
一种用于检测COVID-19和肺炎的混合随机森林深度学习分类器赋能边缘云架构
Murugan Hemalatha
Murugan Hemalatha
COVID-19 is a global pandemic that mostly affects patients' respiratory systems, and the only way to protect oneself against the virus at present moment is to diagnose the illness, isolate the patient, and provide immunization. In the prese...
A sustainable and efficient home health care network design model under uncertainty [0.03%]
一种不确定环境下的可持续高效居家医护网络设计模型
Mahdyeh Shiri,Fardin Ahmadizar,Dhananjay Thiruvady et al.
Mahdyeh Shiri et al.
To cater to the increasing demands, particularly during diseases such as Covid-19, the design and planning of home health care systems is of significant importance. The current study proposes a multi-objective mixed-integer linear model for...
Multi-criteria decision making of COVID-19 vaccines (in India) based on ranking interpreter technique under single valued bipolar neutrosophic environment [0.03%]
基于单值双极模糊环境下的新冠肺炎疫苗多准则决策（印度）研究
Totan Garai,Harish Garg
Totan Garai
COVID-19 is a respiratory infection caused by a coronavirus that spreads from person to person. In the present situation, the COVID-19 pandemic is a swiftly rising phase. Now the time is the second wave ending phase of coronavirus and the t...
Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision [0.03%]
基于机器视觉的COVID-19胸部X光图像识别与计算机辅助诊断方法cov-net
Han Li,Nianyin Zeng,Peishu Wu et al.
Han Li et al.
In the context of global pandemic Coronavirus disease 2019 (COVID-19) that threatens life of all human beings, it is of vital importance to achieve early detection of COVID-19 among symptomatic patients. In this paper, a computer aided diag...
COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain [0.03%]
基于曲线分解和进化人工神经网络的COVID-19传染预测框架：西班牙安达卢西亚地区的案例研究
Miguel Díaz-Lozano,David Guijo-Rubio,Pedro Antonio Gutiérrez et al.
Miguel Díaz-Lozano et al.
Many types of research have been carried out with the aim of combating the COVID-19 pandemic since the first outbreak was detected in Wuhan, China. Anticipating the evolution of an outbreak helps to devise suitable economic, social and heal...
CovidConvLSTM: A fuzzy ensemble model for COVID-19 detection from chest X-rays [0.03%]
基于胸部X光的CovidConvLSTM新冠肺炎模糊集成检测模型
Subhrajit Dey,Rajdeep Bhattacharya,Samir Malakar et al.
Subhrajit Dey et al.
The rapid outbreak of COVID-19 has affected the lives and livelihoods of a large part of the society. Hence, to confine the rapid spread of this virus, early detection of COVID-19 is extremely important. One of the most common ways of detec...
Gyeong-Tae Lee,Hyeonuk Nam,Seong-Hu Kim et al.
Gyeong-Tae Lee et al.
Coughing is a typical symptom of COVID-19. To detect and localize coughing sounds remotely, a convolutional neural network (CNN) based deep learning model was developed in this work and integrated with a sound camera for the visualization o...
Comparison of hospital service performances under COVID-19 pandemics for pilot regions with low vaccination rates [0.03%]
低疫苗接种率地区的新冠疫情对医院服务的影响比较研究
Melike Erdogan,Ertugrul Ayyildiz
Melike Erdogan
It is essential to measure the quality and performance of health centers and propose policies in order for health services to continue without interruption during the pandemic period and for the continuous and proper implementation of new p...
Intelligent model for contemporary supply chain barriers in manufacturing sectors under the impact of the COVID-19 pandemic [0.03%]
新冠疫情下现代制造业供应链壁垒的智能模型分析研究
Abduallah Gamal,Mohamed Abdel-Basset,Ripon K Chakrabortty
Abduallah Gamal
The COVID-19 pandemic has cast a shadow on the global economy. Since the beginning of 2020, the pandemic has contributed significantly to the global recession. In addition to the health damages of the pandemic, the economic impacts are also...
COVID-19 detection on Chest X-ray images: A comparison of CNN architectures and ensembles [0.03%]
基于CNN的胸部X光图新型冠状病毒肺炎检测及模型集成效果分析
Fabricio Aparecido Breve
Fabricio Aparecido Breve
COVID-19 quickly became a global pandemic after only four months of its first detection. It is crucial to detect this disease as soon as possible to decrease its spread. The use of chest X-ray (CXR) images became an effective screening stra...