A Cough-based deep learning framework for detecting COVID-19-Reference-Cited by-同舟云学术

A Cough-based deep learning framework for detecting COVID-19

Published:2022-07-11 Issue: Volume: Page:
ISSN:
Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Hoang Truong¹,Pham Lam²,Ngo Dat³,Nguyen Hoang D.⁴

Affiliation:

1. AI Center, FPT Software Company Limited,Vietnam

2. Center for Digital Safety & Security, Austrian Institute of Technology,Austria

3. School of Computer Science and Electronic Engineering, University of Essex,UK

4. School of Computing Science, University of Glasgow,Singapore

Publisher

IEEE

Link

Reference24 articles.

1. opensmile - the munich versatile and fast open-source audio feature extractor;eyben;Proceedings ACM International Conference on Multimedia,0

3. Artificial intelligence model detects asymptomatic covid-19 infections through cellphone-recorded coughs;chu;MIT News,2020

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1. Predicting COVID-19 Cough Sounds Using Spectrogram Analysis Across Multiple Classes;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-03-28

2. A Comprehensive Review on COVID-19 Cough Audio Classification through Deep Learning;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2023-11-10

3. From Radiography to Diagnosis: Detecting COVID-19 with Cutting-Edge CT Scans and X-ray Imaging;2023 11th International Conference on Emerging Trends in Engineering & Technology - Signal and Information Processing (ICETET - SIP);2023-04-28