Machine learning applications to COVID-19: a state-of-the-art survey

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Access Instruction 651.pdf (103.97 KB)

Date

2022

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers Inc.

Abstract

Description

Keywords

CNN, Covid-19, deep learning, LSTM, machine learning, review

Citation

Kamalov, F., Cherukuri, A. K., & Thabtah, F. (2022). Machine learning applications to COVID-19: A state-of-the-art survey. 2022 Advances in Science and Engineering Technology International Conferences (ASET). https://doi.org/10.1109/ASET53988.2022.9734959

URI

https://doi.org/10.1109/ASET53988.2022.9734959
 http://hdl.handle.net/20.500.12519/651

DOI

Collections

Department of Electrical Engineering