Analysis of rule-based and shallow statistical models for COVID-19 cough detection for a preliminary diagnosis

Arshia Arif, Eisa Alanazi, Ayesha Zeb, Waqar Shahid Qureshi. Analysis of rule-based and shallow statistical models for COVID-19 cough detection for a preliminary diagnosis. In 13th Asian Control Conference, ASCC 2022, Jeju, Korea, May 4-7, 2022. pages 465-469, IEEE, 2022. [doi]

@inproceedings{ArifAZQ22,
  title = {Analysis of rule-based and shallow statistical models for COVID-19 cough detection for a preliminary diagnosis},
  author = {Arshia Arif and Eisa Alanazi and Ayesha Zeb and Waqar Shahid Qureshi},
  year = {2022},
  doi = {10.23919/ASCC56756.2022.9828183},
  url = {https://doi.org/10.23919/ASCC56756.2022.9828183},
  researchr = {https://researchr.org/publication/ArifAZQ22},
  cites = {0},
  citedby = {0},
  pages = {465-469},
  booktitle = {13th Asian Control Conference, ASCC 2022, Jeju, Korea, May 4-7, 2022},
  publisher = {IEEE},
  isbn = {978-89-93215-23-6},
}