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 …
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 …
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 …
Utilization of transfer learning model in detecting COVID-19 cases from chest x-ray images
Diagnosis of COVID-19 pneumonia using patients' chest X-Ray images is new but yet
important task in the field of medicine. Researchers from different parts of the globe have …
important task in the field of medicine. Researchers from different parts of the globe have …
Understanding and predicting view counts of YouTube videos using epidemic modelling framework
YouTube is one of the giants in social media arena. The Google owned website provides its
users the facility to upload and view videos on its platform. YouTube's ever increasing …
users the facility to upload and view videos on its platform. YouTube's ever increasing …
eVote–A Decentralized Voting Platform
V Jain, A Raj, A Tanwar, M Khurana - Digital Twin Technology, 2021 - taylorfrancis.com
In today's world, widespread mistrust towards the government and interference in countries'
processes by external factors have made the democratic process of voting more critical than …
processes by external factors have made the democratic process of voting more critical than …
Measuring Clock Reliability in Cloud Virtual Machines
Clocks are an essential component of distributed systems, and keeping them synchronized
can have a variety of applications and increase the efficiency of systems. We study the …
can have a variety of applications and increase the efficiency of systems. We study the …
A quantitative analysis of susceptible-infected-removed models of the coronavirus
V Heikkilä - 2021 - trepo.tuni.fi
Modelling the susceptibility, infection, and recovery of populations with regards to the COVID-
19 pandemic is highly relevant for the implementation of countermeasures by governing …
19 pandemic is highly relevant for the implementation of countermeasures by governing …