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

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

14 December 2021
Kranthi Kumar Lella
Alphonse Pja
ArXivPDFHTML

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

5 / 5 papers shown
Title
Integration of Federated Learning and Blockchain in Healthcare: A
  Tutorial
Integration of Federated Learning and Blockchain in Healthcare: A Tutorial
Yahya Shahsavari
O. A. Dambri
Yaser Baseri
A. Hafid
Dimitrios Makrakis
OOD
36
2
0
15 Apr 2024
Synthesizing Cough Audio with GAN for COVID-19 Detection
Synthesizing Cough Audio with GAN for COVID-19 Detection
Yahya Saleh
17
0
0
05 May 2023
Audio-based AI classifiers show no evidence of improved COVID-19
  screening over simple symptoms checkers
Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers
H. Coppock
G. Nicholson
Ivan Kiskin
Vasiliki Koutra
Kieran Baker
...
Björn W. Schuller
D. Pigoli
S. Gilmour
Stephen J. Roberts
Chris Holmes
43
24
0
15 Dec 2022
Studying the Similarity of COVID-19 Sounds based on Correlation Analysis
  of MFCC
Studying the Similarity of COVID-19 Sounds based on Correlation Analysis of MFCC
Mohamed Bader Alsabek
I. Shahin
Abdelfatah Hassan
13
49
0
17 Oct 2020
Abnormal respiratory patterns classifier may contribute to large-scale
  screening of people infected with COVID-19 in an accurate and unobtrusive
  manner
Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner
Yunlu Wang
Menghan Hu
Qingli Li
Xiao-Ping Zhang
Guangtao Zhai
Nan Yao
39
197
0
12 Feb 2020
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