Whale optimization with random contraction and Rosenbrock method for COVID-19 disease prediction [0.03%]
基于随机收缩和罗森布鲁克方法的鲸鱼优化在新型冠状病毒肺炎疾病预测中的应用研究
Meilin Zhang,Qianxi Wu,Huiling Chen et al.
Meilin Zhang et al.
Coronavirus Disease 2019 (COVID-19), instigated by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has hugely impacted global public health. To identify and intervene in critically ill patients early, this paper proposes an ef...
D3SENet: A hybrid deep feature extraction network for Covid-19 classification using chest X-ray images [0.03%]
D3SENet：使用胸透图像进行Covid-19分类的混合深度特征提取网络
Mustafa Kaya,Mustafa Eris
Mustafa Kaya
Covid-19 is one of the biggest global epidemics seen in the world in recent years. Because of this, people's daily lifestyles, the economic conditions of countries and individuals, and most importantly, their health status has been adversel...
Academic stress detection on university students during COVID-19 outbreak by using an electronic nose and the galvanic skin response [0.03%]
利用电子鼻和皮肤电反应检测COVID-19爆发期间大学生的学术压力
Cristhian Manuel Durán Acevedo,Jeniffer Katerine Carrillo Gómez,Camilo Andrés Albarracín Rojas
Cristhian Manuel Durán Acevedo
Academic stress is an emotion that students experience during their time at the university, sometimes causing physical and mental health effects. Because of the COVID-19 pandemic, universities worldwide have left the classroom to provide th...
Francisco Luna-Perejón,Luis Muñoz-Saavedra,Jose M Castellano-Domínguez et al.
Francisco Luna-Perejón et al.
The elderly is a continuous growth sector thanks to the life expectancy increase in Western society. This sector is especially at risk from the appearance of respiratory diseases and, therefore, is the most affected sector in the COVID-19 e...
Automatic cough detection from realistic audio recordings using C-BiLSTM with boundary regression [0.03%]
基于C-BiLSTM与边界回归的现实音频录制自动咳嗽检测
Mingyu You,Weihao Wang,You Li et al.
Mingyu You et al.
Automatic cough detection in the patients' realistic audio recordings is of great significance to diagnose and monitor respiratory diseases, such as COVID-19. Many detection methods have been developed so far, but they are still unable to m...
M Meraz,E J Vernon-Carter,E Rodriguez et al.
M Meraz et al.
An approach based on fractal scaling analysis to characterize the organization of the SARS-CoV-2 genome sequence was used. The method is based on the detrended fluctuation analysis (DFA) implemented on a sliding window scheme to detect vari...
A physiological signal compression approach using optimized Spindle Convolutional Auto-encoder in mHealth applications [0.03%]
利用优化的纺锤形卷积自编码器压缩生理信号在mHealth应用中的方法
Vishal Barot,Dr Ritesh Patel
Vishal Barot
Background and objectives: The COVID-19 pandemic manifested the need of developing robust digital platforms for facilitating healthcare services such as consultancy, clinical therapies, real time remote monitoring, early ...
COVID-19 and human development: An approach for classification of HDI with deep CNN [0.03%]
COVID-19与人类发展：利用深度卷积神经网络对HDI进行分类的方法
Gürkan Kavuran,Şeyma Gökhan,Celaleddin Yeroğlu
Gürkan Kavuran
The measures taken during the pandemic have had lasting effects on people's lives and perceptions of the ability of national and multilateral institutions to drive human development. Policies that changed people's behavior were at the heart...
Contactless blood oxygen estimation from face videos: A multi-model fusion method based on deep learning [0.03%]
从面部视频中无接触估计血氧含量：基于深度学习的多模型融合方法
Min Hu,Xia Wu,Xiaohua Wang et al.
Min Hu et al.
Blood Oxygen ( SpO 2 ), a key indicator of respiratory function, has received increasing attention during the COVID-19 pandemic. Clinical results show that patients with COVID-19 likely have distinct lower SpO 2 before the onset of signif...
COVID-19 CT ground-glass opacity segmentation based on attention mechanism threshold [0.03%]
基于注意力机制阈值的COVID-19CT磨玻璃样变分割研究
Yunbo Rao,Qingsong Lv,Shaoning Zeng et al.
Yunbo Rao et al.
The ground glass opacity (GGO) of the lung is one of the essential features of COVID-19. The GGO in computed tomography (CT) images has various features and low-intensity contrast between the GGO and edge structures. These problems pose sig...