A Performance Study of CNN Architectures for the Autonomous Detection of COVID-19 Symptoms Using Cough and Breathing. Effati, M. & Nejat, G. Comput., 12(2):44, 2023.
A Performance Study of CNN Architectures for the Autonomous Detection of COVID-19 Symptoms Using Cough and Breathing [link]Paper  doi  bibtex   
@article{DBLP:journals/computers/EffatiN23,
  author       = {Meysam Effati and
                  Goldie Nejat},
  title        = {A Performance Study of {CNN} Architectures for the Autonomous Detection
                  of {COVID-19} Symptoms Using Cough and Breathing},
  journal      = {Comput.},
  volume       = {12},
  number       = {2},
  pages        = {44},
  year         = {2023},
  url          = {https://doi.org/10.3390/computers12020044},
  doi          = {10.3390/COMPUTERS12020044},
  timestamp    = {Tue, 21 Mar 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/computers/EffatiN23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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