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Covid-19 infection, which spread to the whole world in December 2019 and is still active, caused more than 250 thousand deaths in the world today. Researches on this subject have been focused on analyzing the genetic structure of the virus,…

机器学习 · 计算机科学 2023-04-25 Selcuk Yazar

The aim of the work is to use deep neural network models for solving the problem of image recognition. These days, every human being is threatened by a harmful coronavirus disease, also called COVID-19 disease. The spread of coronavirus…

机器学习 · 计算机科学 2020-10-12 Samir S. Yadav , Jasminder Kaur Sandhu , Mininath R. Bendre , Pratap S. Vikhe , Amandeep Kaur

In the midst of the coronavirus disease 2019 (COVID-19) outbreak, chest X-ray (CXR) imaging is playing an important role in the diagnosis and monitoring of patients with COVID-19. Machine learning solutions have been shown to be useful for…

The novel corona-virus disease (COVID-19) pandemic has caused a major outbreak in more than 200 countries around the world, leading to a severe impact on the health and life of many people globally. As of Aug 25th of 2020, more than 20…

图像与视频处理 · 电气工程与系统科学 2020-09-14 Shakib Yazdani , Shervin Minaee , Rahele Kafieh , Narges Saeedizadeh , Milan Sonka

The current COVID-19 pandemic has put a huge challenge on the Indian health infrastructure. With more and more people getting affected during the second wave, the hospitals were over-burdened, running out of supplies and oxygen. In this…

机器学习 · 计算机科学 2023-04-27 Debasrita Chakraborty , Debayan Goswami , Susmita Ghosh , Ashish Ghosh , Jonathan H. Chan

Under the epidemic of the novel coronavirus disease 2019 (COVID-19), chest X-ray computed tomography imaging is being used for effectively screening COVID-19 patients. The development of computer-aided systems based on deep neural networks…

计算机视觉与模式识别 · 计算机科学 2020-12-21 Hokuto Hirano , Kazuki Koga , Kazuhiro Takemoto

Analysing and understanding the transmission and evolution of the COVID-19 pandemic is mandatory to be able to design the best social and medical policies, foresee their outcomes and deal with all the subsequent socio-economic effects. We…

种群与进化 · 定量生物学 2025-07-28 Radu D. Stochiţoiu , Marian Petrica , Traian Rebedea , Ionel Popescu , Marius Leordeanu

The novel Coronavirus disease, COVID-19, has rapidly and abruptly changed the world as we knew in 2020. It becomes the most unprecedent challenge to analytic epidemiology in general and signal processing theories in specific. Given its high…

Corona VIrus Disease abbreviated as COVID-19 is a novel virus which is initially identified in Wuhan of China in December of 2019 and now this deadly disease has spread all over the world. According to World Health Organization (WHO), a…

机器学习 · 计算机科学 2023-08-10 Mamata Das , P. J. A. Alphonse , Selvakumar K

Novel Coronavirus disease (COVID-19) is an extremely contagious and quickly spreading Coronavirus infestation. Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS), which outbreak in 2002 and 2011, and the…

The world evolution of the Severe acute respiratory syndrome coronavirus 2 (SARS-Cov2 or simply COVID-19) led the World Health Organization to declare it a pandemic. The disease appeared in China in December 2019, and it has spread fast…

种群与进化 · 定量生物学 2020-10-22 Nuno Crokidakis

Background: To assist policy makers in taking adequate decisions to stop the spread of COVID-19 pandemic, accurate forecasting of the disease propagation is of paramount importance. Materials and Methods: This paper presents a deep learning…

社会与信息网络 · 计算机科学 2020-09-28 Ahmed Ben Said , Abdelkarim Erradi , Hussein Aly , Abdelmonem Mohamed

The early and reliable detection of COVID-19 infected patients is essential to prevent and limit its outbreak. The PCR tests for COVID-19 detection are not available in many countries and also there are genuine concerns about their…

Coronavirus (COVID-19) is a viral disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The spread of COVID-19 seems to have a detrimental effect on the global economy and health. A positive chest X-ray of infected…

图像与视频处理 · 电气工程与系统科学 2021-03-10 Abdul Waheed , Muskan Goyal , Deepak Gupta , Ashish Khanna , Fadi Al-Turjman , Placido Rogerio Pinheiro

Pandemic(epidemic) modeling, aiming at disease spreading analysis, has always been a popular research topic especially following the outbreak of COVID-19 in 2019. Some representative models including SIR-based deep learning prediction…

机器学习 · 计算机科学 2022-12-07 Danfeng Guo , Zijie Huang , Junheng Hao , Yizhou Sun , Wei Wang , Demetri Terzopoulos

Since the first coronavirus case was identified in the U.S. on Jan. 21, more than 1 million people in the U.S. have confirmed cases of COVID-19. This infectious respiratory disease has spread rapidly across more than 3000 counties and 50…

机器学习 · 计算机科学 2021-06-25 Shuang Li , Lu Wang , Xinyun Chen , Yixiang Fang , Yan Song

The COVID-19 pandemic started in China in December 2019 and quickly spread to several countries. The consequences of this pandemic are incalculable, causing the death of millions of people and damaging the global economy. To achieve…

图像与视频处理 · 电气工程与系统科学 2021-06-22 Carlos Rojas-Azabache , Karen Vilca-Janampa , Renzo Guerrero-Huayta , Dennis Núñez-Fernández

The novel of coronavirus (COVID-19) has suddenly and abruptly changed the world as we knew at the start of the 3rd decade of the 21st century. Particularly, COVID-19 pandemic has negatively affected financial econometrics and stock markets…

统计金融 · 定量金融 2021-07-09 Farnoush Ronaghi , Mohammad Salimibeni , Farnoosh Naderkhani , Arash Mohammadi

Patients with the COVID-19 infection may have pneumonia-like symptoms as well as respiratory problems which may harm the lungs. From medical images, coronavirus illness may be accurately identified and predicted using a variety of machine…

计算机视觉与模式识别 · 计算机科学 2023-02-20 Tareque Rahman Ornob , Gourab Roy , Enamul Hassan

This paper proposes transferred initialization with modified fully connected layers for COVID-19 diagnosis. Convolutional neural networks (CNN) achieved a remarkable result in image classification. However, training a high-performing model…