Paul K Mvula,Paula Branco,Guy-Vincent Jourdan et al.
Paul K Mvula et al.
Due to the rapid technological advances that have been made over the years, more people are changing their way of living from traditional ways of doing business to those featuring greater use of electronic resources. This transition has att...
Fast COVID-19 versus H1N1 screening using Optimized Parallel Inception [0.03%]
基于优化并行 inception的快速冠状病毒与H1N1筛查方法
Alireza Tavakolian,Farshid Hajati,Alireza Rezaee et al.
Alireza Tavakolian et al.
COVID-19 and swine-origin influenza A (H1N1) are both pandemics that sparked significant concern worldwide. Since these two diseases have common symptoms, a fast COVID-19 versus H1N1 screening helps better manage patients at healthcare faci...
Dual attention-based sequential auto-encoder for Covid-19 outbreak forecasting: A case study in Vietnam [0.03%]
基于双重注意力的序列自动编码器在越南新冠肺炎疫情预测中的应用研究
Phu Pham,Witold Pedrycz,Bay Vo
Phu Pham
For preventing the outbreaks of Covid-19 infection in different countries, many organizations and governments have extensively studied and applied different kinds of quarantine isolation policies, medical treatments as well as organized mas...
DMDF-Net: Dual multiscale dilated fusion network for accurate segmentation of lesions related to COVID-19 in lung radiographic scans [0.03%]
用于肺部影像中与COVID-19相关的病变的精确分割的双尺度膨胀融合网络DMDF-Net
Muhammad Owais,Na Rae Baek,Kang Ryoung Park
Muhammad Owais
The recent disaster of COVID-19 has brought the whole world to the verge of devastation because of its highly transmissible nature. In this pandemic, radiographic imaging modalities, particularly, computed tomography (CT), have shown remark...
An extended multi-criteria group decision-making method with psychological factors and bidirectional influence relation for emergency medical supplier selection [0.03%]
基于心理因素和双向影响关系的紧急医疗供应商选择扩展多准则群体决策方法
Sen Liu,Xiaojun He,Felix T S Chan et al.
Sen Liu et al.
The COVID-19 pandemic outbreak spread rapidly worldwide, posing a severe threat to human life. Due to its unpredictability and destructiveness, the emergency has aroused great common in society. At the same time, the selection of emergency ...
RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images [0.03%]
基于残差神经网络的用于COVID-19检测的RESCOVIDTCNnet框架（使用胸片图像和EWT）
El-Sayed A El-Dahshan,Mahmoud M Bassiouni,Ahmed Hagag et al.
El-Sayed A El-Dahshan et al.
Since the advent of COVID-19, the number of deaths has increased exponentially, boosting the requirement for various research studies that may correctly diagnose the illness at an early stage. Using chest X-rays, this study presents deep le...
An embedded toolset for human activity monitoring in critical environments [0.03%]
在关键环境中进行人体活动监测的嵌入式工具集
Marco Di Benedetto,Fabio Carrara,Luca Ciampi et al.
Marco Di Benedetto et al.
In many working and recreational activities, there are scenarios where both individual and collective safety have to be constantly checked and properly signaled, as occurring in dangerous workplaces or during pandemic events like the recent...
COVID-19 personal health mention detection from tweets using dual convolutional neural network [0.03%]
基于双卷积神经网络的COVID-19个人健康相关信息推特文本检测方法
Linkai Luo,Yue Wang,Hai Liu
Linkai Luo
Twitter offers extensive and valuable information on the spread of COVID-19 and the current state of public health. Mining tweets could be an important supplement for public health departments in monitoring the status of COVID-19 in a timel...
X-ray image based COVID-19 detection using evolutionary deep learning approach [0.03%]
基于进化深度学习方法的X射线图像COVID-19检测
Seyed Mohammad Jafar Jalali,Milad Ahmadian,Sajad Ahmadian et al.
Seyed Mohammad Jafar Jalali et al.
Radiological methodologies, such as chest x-rays and CT, are widely employed to help diagnose and monitor COVID-19 disease. COVID-19 displays certain radiological patterns easily detectable by X-rays of the chest. Therefore, radiologists ca...
An intelligent early warning system of analyzing Twitter data using machine learning on COVID-19 surveillance in the US [0.03%]
基于机器学习的美国新冠肺炎疫情推特数据分析预警系统研究
Yiming Zhang,Ke Chen,Ying Weng et al.
Yiming Zhang et al.
The World Health Organization (WHO) declared on 11th March 2020 the spread of the coronavirus disease 2019 (COVID-19) a pandemic. The traditional infectious disease surveillance had failed to alert public health authorities to intervene in ...