[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 …

[HTML][HTML] Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough …

KK Lella, A Pja - AIMS public health, 2021 - ncbi.nlm.nih.gov
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 …

[HTML][HTML] Automatic diagnosis of COVID-19 disease using deep convolutional neural network with multi-feature channel from respiratory sound data: cough, voice, and …

KK Lella, A Pja - Alexandria Engineering Journal, 2022 - Elsevier
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 …

A literature review on COVID-19 disease diagnosis from respiratory sound data

KK Lella, A PJA - arXiv preprint arXiv:2112.07670, 2021 - arxiv.org
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 …

[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 …

Studying the Similarity of COVID-19 Sounds based on Correlation Analysis of MFCC

MB Alsabek, I Shahin, A Hassan - … international conference on …, 2020 - ieeexplore.ieee.org
Recently there has been a formidable work which has been put up from the people who are
working in the frontlines such as hospitals, clinics, and labs alongside researchers and …

[HTML][HTML] A study of using cough sounds and deep neural networks for the early detection of COVID-19

R Islam, E Abdel-Raheem, M Tarique - Biomedical Engineering Advances, 2022 - Elsevier
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 …

Covid-19 recognition from cough sounds using lightweight separable-quadratic convolutional network

M Soltanian, K Borna - Biomedical Signal Processing and Control, 2022 - Elsevier
Automatic classification of cough data can play a vital role in early detection of Covid-19.
Lots of Covid-19 symptoms are somehow related to the human respiratory system, which …

[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 …

Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method

NK Chowdhury, MA Kabir, MM Rahman… - Computers in Biology …, 2022 - Elsevier
This research aims to analyze the performance of state-of-the-art machine learning
techniques for classifying COVID-19 from cough sounds and to identify the model (s) that …