CR19: A framework for preliminary detection of COVID-19 in cough audio signals using machine learning algorithms for automated medical diagnosis applications

EED Hemdan, W El-Shafai, A Sayed - Journal of Ambient Intelligence and …, 2023 - Springer
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 …

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 …

[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 …

Preliminary diagnosis of COVID-19 based on cough sounds using machine learning algorithms

A Anupam, NJ Mohan, S Sahoo… - 2021 5th International …, 2021 - ieeexplore.ieee.org
The proposed work is focused on COVID-19 classification of cough sounds based on
machine learning which is used to differentiate COVID-19 coughs from non COVID-19 and …

[HTML][HTML] Low cost Covid-19 preliminary diagnosis utilizing cough samples and keenly intellective deep learning approaches

DS Vijayakumar, M Sneha - Alexandria Engineering Journal, 2021 - Elsevier
Covid19 an ecumenical pandemic perpetuates to take lakhs of lives and consistently taking
its shape as major threat. Skeptically and turmoil in divergent perspectives perpetuate to …

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 …

[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 …

[HTML][HTML] QUCoughScope: an intelligent application to detect COVID-19 patients using cough and breath sounds

T Rahman, N Ibtehaz, A Khandakar, MSA Hossain… - Diagnostics, 2022 - mdpi.com
Problem—Since the outbreak of the COVID-19 pandemic, mass testing has become
essential to reduce the spread of the virus. Several recent studies suggest that a significant …

Design and development of hybrid optimization enabled deep learning model for COVID-19 detection with comparative analysis with DCNN, BIAT-GRU, XGBoost

JA Dar, KK Srivastava, SA Lone - Computers in Biology and Medicine, 2022 - Elsevier
The recent investigation has started for evaluating the human respiratory sounds, like voice
recorded, cough, and breathing from hospital confirmed Covid-19 tools, which differs from …

Optimized DEC: An effective cough detection framework using optimal weighted Features-aided deep Ensemble classifier for COVID-19

M Awais, A Bhuva, D Bhuva, S Fatima… - … Signal Processing and …, 2023 - Elsevier
Since the year 2019, the entire world has been facing the most hazardous and contagious
disease as Corona Virus Disease 2019 (COVID-19). Based on the symptoms, the virus can …