Search
Now showing items 1-10 of 13
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
(
Elsevier
, 2021 , Article)
Computer-aided diagnosis for the reliable and fast detection of coronavirus disease (COVID-19) has become a necessity to prevent the spread of the virus during the pandemic to ease the burden on the healthcare system. Chest ...
A secure cloud system for maintaining COVID-19 patient's data using image steganography
(
Hamad bin Khalifa University Press (HBKU Press)
, 2021 , Article)
The COVID-19 pandemic has been life-threatening for many people and as such, a contactless medical system is necessary to prevent the spread of the virus. Smart healthcare systems collect data from patients at one end and ...
Machine learning screening of COVID-19 patients based on X-ray images for unbalanced classes
(
Hamad bin Khalifa University Press (HBKU Press)
, 2021 , Article)
Background: COVID-19 is a pandemic that had already infected more than forty-six million people and caused more than a million deaths by 1st of November 2020. The virus pandemic appears to have had a catastrophic effect ...
A review of mathematical model-based scenario analysis and interventions for COVID-19
(
Elsevier
, 2021 , Article)
Mathematical model-based analysis has proven its potential as a critical tool in the battle against COVID-19 by enabling better understanding of the disease transmission dynamics, deeper analysis of the cost-effectiveness ...
A novel pandemic tracking map: From theory to implementation
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The wide spread of the novel COVID-19 virus all over the world has caused major economical and social damages combined with the death of more than two million people so far around the globe. Therefore, the design of a model ...
Machine Learning Screening of COVID-19 Patients Based on X-ray Images for Imbalanced Classes
(
IEEE
, 2021 , Conference Paper)
COVID-19 is a virus that has infected more than one hundred and fifty million people and caused more than three million deaths by 13th of Mai 2021 and is having a catastrophic effect on the world population's safety. ...
A particle swarm optimization approach for predicting the number of COVID-19 deaths
(
Nature Research
, 2021 , Article)
The rapid spread of the COVID-19 pandemic has raised huge concerns about the prospect of a major health disaster that would result in a huge number of deaths. This anxiety was largely fueled by the fact that the severe ...
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Article)
To assist policymakers in making adequate decisions to stop the spread of the COVID-19 pandemic, accurate forecasting of the disease propagation is of paramount importance. This paper presents a deep learning approach to ...
AI-enabled remote monitoring of vital signs for COVID-19: methods, prospects and challenges
(
Springer
, 2021 , Article)
The COVID-19 pandemic has overwhelmed the existing healthcare infrastructure in many parts of the world. Healthcare professionals are not only over-burdened but also at a high risk of nosocomial transmission from COVID-19 ...
Public transport versus solo travel mode choices during the COVID-19 pandemic: Self-reported evidence from a developing country
(
Elsevier
, 2021 , Article)
A sharp decline in public transport use has been reported worldwide since the outbreak of the COVID-19 pandemic. As the virus spreads through close contacts, particularly in closed environments, public transport vehicles ...