[HTML][HTML] Spatial analysis and GIS in the study of COVID-19. A review
I Franch-Pardo, BM Napoletano… - Science of the total …, 2020 - Elsevier
This study entailed a review of 63 scientific articles on geospatial and spatial-statistical
analysis of the geographical dimension of the 2019 coronavirus disease (COVID-19) …
analysis of the geographical dimension of the 2019 coronavirus disease (COVID-19) …
COVID-19 open source data sets: a comprehensive survey
In December 2019, a novel virus named COVID-19 emerged in the city of Wuhan, China. In
early 2020, the COVID-19 virus spread in all continents of the world except Antarctica …
early 2020, the COVID-19 virus spread in all continents of the world except Antarctica …
Machine learning: new ideas and tools in environmental science and engineering
The rapid increase in both the quantity and complexity of data that are being generated daily
in the field of environmental science and engineering (ESE) demands accompanied …
in the field of environmental science and engineering (ESE) demands accompanied …
Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media
COVID-19 originally known as Corona VIrus Disease of 2019, has been declared as a
pandemic by World Health Organization (WHO) on 11th March 2020. Unprecedented …
pandemic by World Health Organization (WHO) on 11th March 2020. Unprecedented …
Automated deep transfer learning-based approach for detection of COVID-19 infection in chest X-rays
The most widely used novel coronavirus (COVID-19) detection technique is a real-time
polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and take 6-9 hours …
polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and take 6-9 hours …
Collaborative federated learning for healthcare: Multi-modal covid-19 diagnosis at the edge
Despite significant improvements over the last few years, cloud-based healthcare
applications continue to suffer from poor adoption due to their limitations in meeting stringent …
applications continue to suffer from poor adoption due to their limitations in meeting stringent …
A review on deep learning techniques for the diagnosis of novel coronavirus (COVID-19)
Novel coronavirus (COVID-19) outbreak, has raised a calamitous situation all over the world
and has become one of the most acute and severe ailments in the past hundred years. The …
and has become one of the most acute and severe ailments in the past hundred years. The …
Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review
The outbreak of novel corona virus 2019 (COVID-19) has been treated as a public health
crisis of global concern by the World Health Organization (WHO). COVID-19 pandemic …
crisis of global concern by the World Health Organization (WHO). COVID-19 pandemic …
Lies kill, facts save: Detecting COVID-19 misinformation in twitter
MS Al-Rakhami, AM Al-Amri - Ieee Access, 2020 - ieeexplore.ieee.org
Online social networks (ONSs) such as Twitter have grown to be very useful tools for the
dissemination of information. However, they have also become a fertile ground for the …
dissemination of information. However, they have also become a fertile ground for the …
Advances in deep learning for tuberculosis screening using chest X-rays: the last 5 years review
There has been an explosive growth in research over the last decade exploring machine
learning techniques for analyzing chest X-ray (CXR) images for screening cardiopulmonary …
learning techniques for analyzing chest X-ray (CXR) images for screening cardiopulmonary …