Optimized DEC: An effective cough detection framework using optimal weighted Features-aided deep Ensemble classifier for COVID-19
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 …
disease as Corona Virus Disease 2019 (COVID-19). Based on the symptoms, the virus can …
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 …
DKPNet41: Directed knight pattern network-based cough sound classification model for automatic disease diagnosis
Problem Cough-based disease detection is a hot research topic for machine learning, and
much research has been published on the automatic detection of Covid-19. However, these …
much research has been published on the automatic detection of Covid-19. However, these …
[HTML][HTML] MSCCov19Net: multi-branch deep learning model for COVID-19 detection from cough sounds
Coronavirus has an impact on millions of lives and has been added to the important
pandemics that continue to affect with its variants. Since it is transmitted through the …
pandemics that continue to affect with its variants. Since it is transmitted through the …
Design and development of hybrid optimization enabled deep learning model for COVID-19 detection with comparative analysis with DCNN, BIAT-GRU, XGBoost
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 …
recorded, cough, and breathing from hospital confirmed Covid-19 tools, which differs from …
[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 …
COVID-19 detection with traditional and deep features on cough acoustic signals
YE Erdoğan, A Narin - Computers in Biology and Medicine, 2021 - Elsevier
The COVID-19 epidemic, in which millions of people suffer, has affected the whole world in a
short time. This virus, which has a high rate of transmission, directly affects the respiratory …
short time. This virus, which has a high rate of transmission, directly affects the respiratory …
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 …
Lots of Covid-19 symptoms are somehow related to the human respiratory system, which …
[HTML][HTML] Deep learning based cough detection camera using enhanced features
Coughing is a typical symptom of COVID-19. To detect and localize coughing sounds
remotely, a convolutional neural network (CNN) based deep learning model was developed …
remotely, a convolutional neural network (CNN) based deep learning model was developed …