Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice

Slična djela

• Automatic diagnosis of COVID-19 disease using deep convolutional neural network with multi-feature channel from respiratory sound data: Cough, voice, and breath
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  Izdano: (2022)
• COVID-19: respiratory disease diagnosis with regularized deep convolutional neural network using human respiratory sounds
  od: Kranthi Kumar, Lella, i dr.
  Izdano: (2022)
• COVID-19 disease diagnosis with light-weight CNN using modified MFCC and enhanced GFCC from human respiratory sounds
  od: Kranthi Kumar, Lella, i dr.
  Izdano: (2022)
• CovidCoughNet: A new method based on convolutional neural networks and deep feature extraction using pitch-shifting data augmentation for covid-19 detection from cough, breath, and voice signals
  od: Celik, Gaffari
  Izdano: (2023)
• Convolutional Neural Network for Breathing Phase Detection in Lung Sounds
  od: Jácome, Cristina, i dr.
  Izdano: (2019)