Automatic diagnosis of COVID-19 disease using deep convolutional neural network with multi-feature channel from respiratory sound data: Cough, voice, and breath-Reference-Cited by-同舟云学术

Automatic diagnosis of COVID-19 disease using deep convolutional neural network with multi-feature channel from respiratory sound data: Cough, voice, and breath

Published:2022-02 Issue:2 Volume:61 Page:1319-1334
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Lella Kranthi Kumar,Pja Alphonse

Publisher

Elsevier BV

Subject

General Engineering

Reference39 articles.

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3. Lara O. et al., “The COUGHVID crowdsourcing dataset: A corpus for the study of large scale cough analysis algorithms”, arXiv:2009.11644v1[cs.SD], 2020. DOI: 10.5281/zenodo.4048312.

4. Ali Imran et al., “AI4COVID-19: AI-Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App”,arXiv:2004.01275v6[eess.AS], 2020. https://doi.org/10.1016/j.imu.2020. 100378.

5. Machine and Deep Learning towards COVID-19 Diagnosis and Treatment: Survey, Challenges, and Future Directions;Alafif;J. LATEX Class Files,2020

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