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Identification of COVID-19 from Cough Sounds Using Non-Linear Analysis and Machine Learning
Author(s) -
Fatma Zehra Solak
Publication year - 2021
Publication title -
european journal of science and technology
Language(s) - English
Resource type - Journals
ISSN - 2148-2683
DOI - 10.31590/ejosat.1010723
Subject(s) - support vector machine , artificial intelligence , random forest , oversampling , computer science , adaboost , machine learning , radial basis function kernel , pattern recognition (psychology) , detrended fluctuation analysis , artificial neural network , covid-19 , radial basis function , linear classifier , speech recognition , mathematics , kernel method , medicine , computer network , geometry , disease , bandwidth (computing) , pathology , scaling , infectious disease (medical specialty)

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