A comprehensive review of machine learning used to combat COVID-19

R Gomes, C Kamrowski, J Langlois, P Rozario, I Dircks… - Diagnostics, 2022 - mdpi.com
Coronavirus disease (COVID-19) has had a significant impact on global health since the
start of the pandemic in 2019. As of June 2022, over 539 million cases have been confirmed …

CPNet: Covid19 and Viral Pneumonia Automated Detection Based on Convolutional Neural Network

S Khan, A Khan, A Khan - 2023 5th International Conference …, 2023 - ieeexplore.ieee.org
Novel coronavirus (covid19) has affected the entire world since its outbreak in late 2019.
Millions of people have died, and hundreds of millions of people got infected with the …

Decoding SARS-CoV-2 Variants: An in-silico approach to RNA-Seq feature extraction using K-mers and N-grams

N Iqbal, A Bhardwaj - 2024 IEEE International Students' …, 2024 - ieeexplore.ieee.org
The world's enormous challenge is to combat the COVID-19 pandemic, which has spread by
the SARS-CoV-2 virus over the past three years. Many waves are formed with diverse …

COViT: Convolutions and ViT based Deep Learning Model for Covid19 and Viral Pneumonia Classification using X-ray Datasets

AS Fazal, S Khan, A Khan - Proceedings of the 2023 7th International …, 2023 - dl.acm.org
Artificial Intelligence based Covid19 through X-ray scans has revolutionized early diagnosis
and treatment since the outbreak. There have been remarkable achievements in the …