[HTML][HTML] Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough …
The issue in respiratory sound classification has attained good attention from the clinical
scientists and medical researcher's group in the last year to diagnosing COVID-19 disease …
scientists and medical researcher's group in the last year to diagnosing COVID-19 disease …
[HTML][HTML] Automatic diagnosis of COVID-19 disease using deep convolutional neural network with multi-feature channel from respiratory sound data: cough, voice, and …
The problem of respiratory sound classification has received good attention from the clinical
scientists and medical researcher's community in the last year to the diagnosis of COVID-19 …
scientists and medical researcher's community in the last year to the diagnosis of COVID-19 …
[HTML][HTML] COVID-19 disease diagnosis with light-weight CNN using modified MFCC and enhanced GFCC from human respiratory sounds
L Kranthi Kumar, PJA Alphonse - The European Physical Journal Special …, 2022 - Springer
In the last 2 years, medical researchers and clinical scientists have paid close attention to
the problem of respiratory sound classification to classify COVID-19 disease symptoms. In …
the problem of respiratory sound classification to classify COVID-19 disease symptoms. In …
[HTML][HTML] Pay attention to the speech: COVID-19 diagnosis using machine learning and crowdsourced respiratory and speech recordings
M Aly, KH Rahouma, SM Ramzy - Alexandria Engineering Journal, 2022 - Elsevier
Since the outbreak of COVID-19, many efforts have been made to utilize the respiratory
sounds and coughs collected by smartphones for training Machine Learning models to …
sounds and coughs collected by smartphones for training Machine Learning models to …
[HTML][HTML] A study of using cough sounds and deep neural networks for the early detection of COVID-19
The current clinical diagnosis of COVID-19 requires person-to-person contact, needs
variable time to produce results, and is expensive. It is even inaccessible to the general …
variable time to produce results, and is expensive. It is even inaccessible to the general …
A literature review on COVID-19 disease diagnosis from respiratory sound data
The World Health Organization (WHO) has announced a COVID-19 was a global pandemic
in March 2020. It was initially started in china in the year 2019 December and affected an …
in March 2020. It was initially started in china in the year 2019 December and affected an …
Deep-learning based approach to identify COVID-19
K Feng, F He, J Steinmann, I Demirkiran - SoutheastCon 2021, 2021 - ieeexplore.ieee.org
COVID-19 is a large-scale contagious respiratory disease that has spread across the world
in 2020. Therefore, a low-cost, fast, and easily available solution is needed to provide a …
in 2020. Therefore, a low-cost, fast, and easily available solution is needed to provide a …
[HTML][HTML] CR19: A framework for preliminary detection of COVID-19 in cough audio signals using machine learning algorithms for automated medical diagnosis …
Today, there is a level of panic and chaos dominating the entire world due to the massive
outbreak in the second wave of COVID-19 disease. As the disease has numerous symptoms …
outbreak in the second wave of COVID-19 disease. As the disease has numerous symptoms …
[HTML][HTML] Diagnosis of COVID-19 and non-COVID-19 patients by classifying only a single cough sound
M Melek - Neural Computing and Applications, 2021 - Springer
In the last month of 2019, a new virus emerged in China, spreading rapidly and affecting the
whole world. This virus, which is called corona, is the most contagious type of virus that …
whole world. This virus, which is called corona, is the most contagious type of virus that …
A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID‐19 based on acoustic cough features
G Sunitha, R Arunachalam… - … Journal of Imaging …, 2022 - Wiley Online Library
The study aims to assess the detection performance of a rapid primary screening technique
for COVID‐19 that is purely based on the cough sound extracted from 2200 clinically …
for COVID‐19 that is purely based on the cough sound extracted from 2200 clinically …