Classification of sars-cov-2 and non-sars-cov-2 using machine learning algorithms

• Main Authors: Singh, O. P., Vallejo, M., Badawy, I. M. L., Aysha, A., Madhanagopal, J., Mohd. Faudzi, A. A.
• Format: Article
• Language: English
• Published: Elsevier Ltd. 2021
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/95161/1/AhmadAthifMohd2021_ClassificationofSARS.pdf; http://eprints.utm.my/id/eprint/95161/; http://dx.doi.org/10.1016/j.compbiomed.2021.104650

Due to the continued evolution of the SARS-CoV-2 pandemic, researchers worldwide are working to mitigate, suppress its spread, and better understand it by deploying digital signal processing (DSP) and machine learning approaches. This study presents an alignment-free approach to classify the SARS-Co...