COVID-19 open source data sets: a comprehensive survey
In December 2019, a novel virus named COVID-19 emerged in the city of Wuhan, China. In
early 2020, the COVID-19 virus spread in all continents of the world except Antarctica …
early 2020, the COVID-19 virus spread in all continents of the world except Antarctica …
Machine and deep learning towards COVID-19 diagnosis and treatment: survey, challenges, and future directions
With many successful stories, machine learning (ML) and deep learning (DL) have been
widely used in our everyday lives in a number of ways. They have also been instrumental in …
widely used in our everyday lives in a number of ways. They have also been instrumental in …
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 …
A survey on applications of artificial intelligence in fighting against COVID-19
The COVID-19 pandemic caused by the SARS-CoV-2 virus has spread rapidly worldwide,
leading to a global outbreak. Most governments, enterprises, and scientific research …
leading to a global outbreak. Most governments, enterprises, and scientific research …
End-to-end convolutional neural network enables COVID-19 detection from breath and cough audio: a pilot study
Background Since the emergence of COVID-19 in December 2019, multidisciplinary
research teams have wrestled with how best to control the pandemic in light of its …
research teams have wrestled with how best to control the pandemic in light of its …
Virufy: Global applicability of crowdsourced and clinical datasets for AI detection of COVID-19 from cough
Rapid and affordable methods of testing for COVID-19 infections are essential to reduce
infection rates and prevent medical facilities from becoming overwhelmed. Current …
infection rates and prevent medical facilities from becoming overwhelmed. Current …
A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing …
Background and objective COVID-19 outbreak has become one of the most challenging
problems for human being. It is a communicable disease caused by a new coronavirus …
problems for human being. It is a communicable disease caused by a new coronavirus …
DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics
The DiCOVA challenge aims at accelerating research in diagnosing COVID-19 using
acoustics (DiCOVA), a topic at the intersection of speech and audio processing, respiratory …
acoustics (DiCOVA), a topic at the intersection of speech and audio processing, respiratory …
A generic deep learning based cough analysis system from clinically validated samples for point-of-need COVID-19 test and severity levels
J Andreu-Perez, H Pérez-Espinosa… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In an attempt to reduce the infection rate of the COrona VIrus Disease-19 (Covid-19)
countries around the world have echoed the exigency for an economical, accessible, point …
countries around the world have echoed the exigency for an economical, accessible, point …