Deep learning techniques for detection and prediction of pandemic diseases: a systematic literature review

SA Ajagbe, MO Adigun - Multimedia Tools and Applications, 2024 - Springer
Deep learning (DL) is becoming a fast-growing field in the medical domain and it helps in
the timely detection of any infectious disease (IDs) and is essential to the management of …

EffViT-COVID: A dual-path network for COVID-19 percentage estimation

J Chauhan, J Bedi - Expert Systems with Applications, 2023 - Elsevier
The first case of novel Coronavirus (COVID-19) was reported in December 2019 in Wuhan
City, China and led to an international outbreak. This virus causes serious respiratory illness …

COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge

F Bougourzi, C Distante, F Dornaika, A Taleb-Ahmed… - Sensors, 2024 - mdpi.com
COVID-19 analysis from medical imaging is an important task that has been intensively
studied in the last years due to the spread of the COVID-19 pandemic. In fact, medical …

[PDF][PDF] Deterioration: methods for estimation in natural and artificial systems

D Tricarico - 2023 - iris.unito.it
This doctoral thesis aims to address the quantitative monitoring and prediction of system
deterioration through data-driven approaches. The focus is directed towards two crucial …

[PDF][PDF] Corona Virus (Covid–19) Antidote and Role Of Nanotechnology With Pollution In The Environment

HK Gupta - Annals of Clinical and Medical Case Reports, 2024 - acmcasereports.org
The coronavirus infectious disease (COVID–19), which started in late 2019, was found to be
caused by the SARS–CoV–2 virus. The samples collected were from three age categories …