pneumonia-infected, and COVID-19-infected. They used two CNN layers and five max-pooling layers to train their model. They obtained three sets of results: one based on the original dataset, one with a dataset restructured using the Fuzzy technique, and one with a dataset combined ...
16. COVID19 Data Analysis Using Pythondoi:10.13140/RG.2.2.14396.56967Subhani ShaikKP Surya Teja
All automated using GitHub Actions. python github-pages data data-visualization python3 dataset civic-tech github-actions novel-coronavirus coronavirus-tracking coronavirus-real-time coronavirus-info 2019-ncov-data-vis novel-coronavirus-2019 covid-19 covid-data coronavirus-dataset covid-19-data covid-...
A CLI for getting covid-19 coronavirus status of your district or state or country at lightning speed right on your terminal built usinghttps://api.covid19india.org. pythonclicommand-line-toolindiacoronaviruscoronavirus-trackingcovid19covid19-datacovid19-indiacovid-19-tracker ...
Viral titres using standard Vero E6 cells do not have any detectable titres (previously reported19) in MISTRG6 mice without AAV-hACE2. Some of the MISTRG6-hACE2 data presented here have been previously reported as part of the characterization of the model19. i. Frequencies of mNG+ cells ...
(x=dates, y=ridge_prediction, name="Ridge Regression")) fig.add_trace(go.Scatter(x=dates, y=lasso_prediction, name="Lasso Regression")) fig.update_layout( title={ 'text': "Comparision of future deaths using various linear models", 'y':0.9, 'x':0.5, 'xanchor': 'center', 'y...
All statistical analysis was performed using IBM SPSS Ver. 19.0. The Python programming language (Python Software Foundation, version 3.6.6, https://www.python.org/downloads/) was used for our models. Machine learning model establishment and evaluation Datasets All data was divided into three ...
Our SEIR model isopen source. Our projections are uploaded dailyonto GitHub. Everything is written in Python 3, andplotlyis used for plotting. This website is hosted usingGitHub Pages. The goal of this project is to showcase the strengths of artificial intelligence to tackle one of the world...
Keywords: functional data analysis; air pollution; magnitude outlyingness; shape outlyingness; COVID-19 MSC: 62R101. Introduction Air pollution is nowadays one of the most important environmental concerns for the population of urban areas [1,2,3,4,5,6,7,8,9,10]. The reason for this lies...
2.4. COVID-19 Pandemic and Stock Market Performance Studies have explored the impact of the COVID-19 pandemic on stock market volatility using diverse methodologies across different regions. Papadamou et al. (2020) utilized panel data analysis to demonstrate how COVID-19 news heightened investor ...