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Air pollution has been a widespread and visible concern, that has increased significantly over the last decade across many parts of India with severe consequences for human health and well-being. The Indian government, as in many other countries, responded to the COVID-19 pandemic by enforcing ...
Using Eq. (2), we estimated the impact of the COVID-19 lockdown on individual merchants and how the impact varies with shop characteristics such as chain stores, the size of the network for chain stores and multiapp stores: $$\begin{array}{l}Y_{imt} = \beta _{1m}{\rm{Lockdown}...
“Sotheby’s has a long tradition of supporting charitable organizations in times of need. We are proud to bring our centuries of experience and the power of our online auctions to bear against the impact of COVID-19. With the partnership of Google and so many leading figures who have pledg...
To increase confidence in the clinical translation of PF-00835231 for COVID-19, a SARS-CoV-2 infection mouse model was also evaluated. Transduction of mice with adenovirus 5-hACE2 (Ad5-hACE2) by intranasal administration allows for infection with SARS-CoV-229,30. In this model, treatment ...
In addition to the known established procedure to detect COVID-19-infected humans, there is urgency to develop auxiliary tools that can be exploited for identification and monitoring of positive cases. The availability of CT and CXR images of lungs provide certain characteristics linked with COVID-...
Project Summary: To build a public open dataset of chest X-ray and CT images of patients which are positive or suspected of COVID-19 or other viral and bacterial pneumonias (MERS,SARS, andARDS.). Data will be collected from public sources as well as through indirect collection from hospita...
The data for this project concerns lung xray images for pneumonia. The original dataset is from Kaggle. I have downloaded the entire dataset for the sake of model training in order to design various architectures and evaluate their performaces as well by fitting to data. ⏰ It is anticipated...
This study aims to establish an effective COVID-19 prediction model through chest CT images using efficient transfer learning (TL) models. Initially, we used three standard deep learning (DL) models, namely, VGG-16, ResNet50, and Xception, for the prediction of COVID-19. After that, we ...
We employ the deep learning algorithms for COVID-19 datasets to detect infection in the CT and X-ray images; Finally, we provide limitations, challenges, and future directions for the research community. 2. Related Work This section of the article presents the information about the datasets and...