[HTML][HTML] Short-term prediction of COVID-19 cases using machine learning models
The first case in Bangladesh of the novel coronavirus disease (COVID-19) was reported on
8 March 2020, with the number of confirmed cases rapidly rising to over 175,000 by July …
8 March 2020, with the number of confirmed cases rapidly rising to over 175,000 by July …
Pandemic coronavirus disease (Covid‐19): World effects analysis and prediction using machine‐learning techniques
Abstract Pandemic novel Coronavirus (Covid‐19) is an infectious disease that primarily
spreads by droplets of nose discharge when sneezing and saliva from the mouth when …
spreads by droplets of nose discharge when sneezing and saliva from the mouth when …
Local binary pattern and deep learning feature extraction fusion for COVID‐19 detection on computed tomography images
The deadly coronavirus virus (COVID‐19) was confirmed as a pandemic by the World
Health Organization (WHO) in December 2019. It is important to identify suspected patients …
Health Organization (WHO) in December 2019. It is important to identify suspected patients …
Fake news detection for epidemic emergencies via deep correlations between text and images
J Zeng, Y Zhang, X Ma - Sustainable Cities and Society, 2021 - Elsevier
In recent years, major emergencies have occurred frequently all over the world. When a
major global public heath emergency like COVID-19 broke out, an increasing number of …
major global public heath emergency like COVID-19 broke out, an increasing number of …
Modelling the transmission dynamics of COVID‐19 in six high‐burden countries
The new Coronavirus Disease 19, officially known as COVID‐19, originated in China in
2019 and has since spread worldwide. We presented an age‐structured Susceptible‐Latent …
2019 and has since spread worldwide. We presented an age‐structured Susceptible‐Latent …
[PDF][PDF] Predicting COVID-19 pandemic waves with biologically and behaviorally informed universal differential equations
B Kuwahara, CT Bauch - Heliyon, 2024 - cell.com
During the COVID-19 pandemic, it became clear that pandemic waves and population
responses were locked in a mutual feedback loop in a classic example of a coupled …
responses were locked in a mutual feedback loop in a classic example of a coupled …
Deming least square regressed feature selection and Gaussian neuro‐fuzzy multi‐layered data classifier for early COVID prediction
Abstract Coronavirus disease (COVID‐19) is a harmful disease caused by the new SARS‐
CoV‐2 virus. COVID‐19 disease comprises symptoms such as cold, cough, fever, and …
CoV‐2 virus. COVID‐19 disease comprises symptoms such as cold, cough, fever, and …
[HTML][HTML] What can covid-19 teach us about using AI in pandemics?
The COVID-19 pandemic put significant strain on societies and their resources, with the
healthcare system and workers being particularly affected. Artificial Intelligence (AI) offers …
healthcare system and workers being particularly affected. Artificial Intelligence (AI) offers …
Digital twin: Towards internet of drones
Internet of Drones (IoDs) are the emerging form of futuristic IOT devices where unmanned
aerial vehicles have a complete network connection capability using internet. Nowadays …
aerial vehicles have a complete network connection capability using internet. Nowadays …
Seesaw scenarios of lockdown for COVID-19 pandemic: Simulation and failure analysis
B Afshar-Nadjafi, STA Niaki - Sustainable Cities and Society, 2021 - Elsevier
Abstract The ongoing COVOD-19 (SARS-CoV-2) outbreak has had a devastating impact on
the economy, education and businesses. In this paper, the behavior of an epidemic is …
the economy, education and businesses. In this paper, the behavior of an epidemic is …