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Modeling the SARS-CoV-2 parallel transmission dynamics: Asymptomatic and symptomatic pathways
(
Elsevier Ltd
, 2022 , Article)
Asymptomatic transmission of the coronavirus disease and the infected individual prediction has become very important in the COVID-19 outbreak study. The asymptomatic and symptomatic transmission studies are still ongoing ...
A Social Distance Estimation and Crowd Monitoring System for Surveillance Cameras
(
MDPI
, 2022 , Article)
Social distancing is crucial to restrain the spread of diseases such as COVID-19, but complete adherence to safety guidelines is not guaranteed. Monitoring social distancing through mass surveillance is paramount to develop ...
BEMD-3DCNN-based method for COVID-19 detection
(
Elsevier Ltd
, 2022 , Article)
The coronavirus outbreak continues to spread around the world and no one knows when it will stop. Therefore, from the first day of the identification of the virus in Wuhan, China, scientists have launched numerous research ...
Investigating the role of stakeholder engagement for more resilient vaccine supply chains during COVID-19
(
Springer
, 2022 , Article)
The complexity of the supply chains and the uncertainties in the processes cause business to become more vulnerable in the face of disruptions. Pandemic situations such as COVID-19 cause sudden disruptions in supply chains, ...
Increased complications of COVID-19 in people with cardiovascular disease: Role of the renin-angiotensin-aldosterone system (RAAS) dysregulation
(
Elsevier Ireland Ltd
, 2022 , Article)
The rapid spread of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) that causes coronavirus disease 2019 (COVID?19), has had a dramatic negative impact on public health and economies worldwide. Recent studies ...
The Economic Impact of Optimizing a COVID-19 Management Protocol in Pre-Existing Cardiovascular Disease Patients
(
Elsevier
, 2022 , Article)
This study answers the question of whether the health care costs of managing COVID-19 in preexisting cardiovascular diseases (CVD) patients increased or decreased as a consequence of evidence-based efforts to optimize the ...
Epidemic Risk Assessment by a Novel Communication Station Based Method
(
IEEE Computer Society
, 2022 , Article)
The COVID-19 pandemic has caused serious consequences in the last few months and trying to control it has been the most important objective. With effective prevention and control methods, the epidemic has been gradually ...
Intelligent Edge-Based Recommender System for Internet of Energy Applications
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Preserving energy in households and office buildings is a significant challenge, mainly due to the recent shortage of energy resources, the uprising of the current environmental problems, and the global lack of utilizing ...
Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries
(
Elsevier
, 2022 , Article)
COVID-19 has resulted in high volatility in financial markets across the world. The goal of this study is to investigate the impact of COVID-19-related news on the stock markets in Gulf Cooperation Council (GCC) countries. ...
OSEGNET: OPERATIONAL SEGMENTATION NETWORK FOR COVID-19 DETECTION USING CHEST X-RAY IMAGES
(
IEEE
, 2022 , Conference Paper)
Coronavirus disease 2019 (COVID-19) has been diagnosed automatically using Machine Learning algorithms over chest X-ray (CXR) images. However, most of the earlier studies used Deep Learning models over scarce datasets ...