Machine learning applications for COVID-19 outbreak management
Recently, the COVID-19 epidemic has resulted in millions of deaths and has impacted
practically every area of human life. Several machine learning (ML) approaches are …
practically every area of human life. Several machine learning (ML) approaches are …
Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …
innovation to many digital technologies. Even after the progression of vaccination efforts …
COVID-19 cough classification using machine learning and global smartphone recordings
We present a machine learning based COVID-19 cough classifier which can discriminate
COVID-19 positive coughs from both COVID-19 negative and healthy coughs recorded on a …
COVID-19 positive coughs from both COVID-19 negative and healthy coughs recorded on a …
Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method
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 …
techniques for classifying COVID-19 from cough sounds and to identify the model (s) that …
Sounds of COVID-19: exploring realistic performance of audio-based digital testing
To identify Coronavirus disease (COVID-19) cases efficiently, affordably, and at scale, recent
work has shown how audio (including cough, breathing and voice) based approaches can …
work has shown how audio (including cough, breathing and voice) based approaches can …
COVID-19 detection in cough, breath and speech using deep transfer learning and bottleneck features
We present an experimental investigation into the effectiveness of transfer learning and
bottleneck feature extraction in detecting COVID-19 from audio recordings of cough, breath …
bottleneck feature extraction in detecting COVID-19 from audio recordings of cough, breath …
[HTML][HTML] Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey
Cough acoustics contain multitudes of vital information about pathomorphological
alterations in the respiratory system. Reliable and accurate detection of cough events by …
alterations in the respiratory system. Reliable and accurate detection of cough events by …
CR19: A framework for preliminary detection of COVID-19 in cough audio signals using machine learning algorithms for automated medical diagnosis applications
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 …
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 …
Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infection
This paper presents the Coswara dataset, a dataset containing diverse set of respiratory
sounds and rich meta-data, recorded between April-2020 and February-2022 from 2635 …
sounds and rich meta-data, recorded between April-2020 and February-2022 from 2635 …