Edge AI for Covid-19 Detection Using Coughing
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-86271-8_48
Reference18 articles.
1. Pormohammad, A., et al.: Comparison of confirmed COVID-19 with SARS and MERS cases-clinical characteristics, laboratory findings, radiographic signs and outcomes: a systematic review and meta-analysis. Rev. Med. Virol. 30(4), e2112 (2020)
2. Chugh, G., Kumar, S., Singh, N.: Survey on machine learning and deep learning applications in breast cancer diagnosis. Cogn. Comput. 1–20 (2021). https://doi.org/10.1007/s12559-020-09813-6
3. Riaz, H., Park, J., Kim, P.H., Kim, J.: Retinal healthcare diagnosis approaches with deep learning techniques. J. Med. Imaging Health Inform. 11(3), 846–855 (2021)
4. Muhammad, Y., Alshehri, M.D., Alenazy, W.M., Vinh Hoang, T., Alturki, R.: Identification of pneumonia disease applying an intelligent computational framework based on deep learning and machine learning techniques. Mob. Inf. Syst. 2021 (2021)
5. Deshpande, G., Schuller, B.: An overview on audio, signal, speech, & language processing for COVID-19. arXiv preprint arXiv:2005.08579 (2020)
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