A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine
Since 2019, the COVID-19 pandemic has had an extremely high impact on all facets of the
society and will potentially have an everlasting impact for years to come. In response to this …
society and will potentially have an everlasting impact for years to come. In response to this …
Data analytics and knowledge management approach for COVID-19 prediction and control
Abstract The Coronavirus Disease (COVID-19) caused by SARS-CoV-2, continues to be a
global threat. The major global concern among scientists and researchers is to develop …
global threat. The major global concern among scientists and researchers is to develop …
Application of artificial intelligence in COVID-19 diagnosis and therapeutics
The coronavirus disease 2019 (COVID-19) pandemic began at the end of December 2019,
giving rise to a high rate of infections and causing COVID-19-associated deaths worldwide …
giving rise to a high rate of infections and causing COVID-19-associated deaths worldwide …
A framework of genetic algorithm-based CNN on multi-access edge computing for automated detection of COVID-19
This paper designs and develops a computational intelligence-based framework using
convolutional neural network (CNN) and genetic algorithm (GA) to detect COVID-19 cases …
convolutional neural network (CNN) and genetic algorithm (GA) to detect COVID-19 cases …
Overview of prospects for service-aware radio access towards 6G networks
The integration of space–air–ground–sea networking in 6G, which is expected to not only
achieve seamless coverage but also offer service-aware access and transmission, has …
achieve seamless coverage but also offer service-aware access and transmission, has …
Explaining COVID-19 diagnosis with Taylor decompositions
MM Hassan, SA AlQahtani, A Alelaiwi… - Neural Computing and …, 2023 - Springer
The COVID-19 pandemic has devastated the entire globe since its first appearance at the
end of 2019. Although vaccines are now in production, the number of contaminations …
end of 2019. Although vaccines are now in production, the number of contaminations …
Analyzing cyberchondriac Google Trends data to forecast waves and avoid friction: lessons from COVID-19 in India
This article examines the Google Trends data related to the second COVID-19 wave in India.
We investigate the phenomenon of cyberchondria, which potentially causes individuals to …
We investigate the phenomenon of cyberchondria, which potentially causes individuals to …
Research Progress of Digital Technology and Emerging Themes During Covid 19 in Malaysia: Bibliometric Analysis Approach.
AK Riyard Kiflee, NN Hasbullah… - … of Interactive Mobile …, 2023 - search.ebscohost.com
The covid 19 immediate impact has intensely changed global trends. At the same time, the
impact covid 19 has exhilarated research interest among researchers worldwide. In …
impact covid 19 has exhilarated research interest among researchers worldwide. In …
Lightweight neural architectures to improve COVID-19 identification
The COVID-19 pandemic has had a global impact, transforming how we manage infectious
diseases and interact socially. Researchers from various fields have worked tirelessly to …
diseases and interact socially. Researchers from various fields have worked tirelessly to …
Use of a deep learning approach for the sensitive prediction of hepatitis B surface antigen levels in inactive carrier patients
Deep learning is a subset of machine learning that can be employed to accurately predict
biological transitions. Eliminating hepatitis B surface antigens (HBsAgs) is the final …
biological transitions. Eliminating hepatitis B surface antigens (HBsAgs) is the final …