Wet and Dry Cough Classification System Using Support Vector Machine and Logistic Regression

P. Co Sean Andrei, Claudine Anne J. Madamba, Maria Leonora C. Guico, Jan Kevin A. Galicia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Computer and Communication Engineering, ICCCE 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages252-257
Number of pages6
ISBN (Electronic)9798350325218
DOIs
StatePublished - 2023
Event9th International Conference on Computer and Communication Engineering, ICCCE 2023 - Kuala Lumpur, Malaysia
Duration: Aug 15 2023Aug 16 2023

Publication series

NameProceedings of the 9th International Conference on Computer and Communication Engineering, ICCCE 2023

Conference

Conference9th International Conference on Computer and Communication Engineering, ICCCE 2023
Country/TerritoryMalaysia
CityKuala Lumpur
Period8/15/238/16/23

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Electrical and Electronic Engineering
  • Dentistry (miscellaneous)

Keywords

  • cough classification
  • logistic regression
  • support vector machine
  • wet and dry cough

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