COVID-19 open source data sets: a comprehensive survey

J Shuja, E Alanazi, W Alasmary, A Alashaikh - Applied Intelligence, 2021‏ - Springer
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 …

Machine and deep learning towards COVID-19 diagnosis and treatment: survey, challenges, and future directions

T Alafif, AM Tehame, S Bajaba, A Barnawi… - International journal of …, 2021‏ - mdpi.com
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 …

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 …

COVID-19 cough classification using machine learning and global smartphone recordings

M Pahar, M Klopper, R Warren, T Niesler - Computers in Biology and …, 2021‏ - Elsevier
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 …

Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review

JI Khan, J Khan, F Ali, F Ullah, J Bacha, S Lee - Ieee Access, 2022‏ - ieeexplore.ieee.org
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 …

Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review

J Zhang, J Wu, Y Qiu, A Song, W Li, X Li… - Computers in Biology and …, 2023‏ - Elsevier
The growing and aging of the world population have driven the shortage of medical
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …

A survey on applications of artificial intelligence in fighting against COVID-19

J Chen, K Li, Z Zhang, K Li, PS Yu - ACM Computing Surveys (CSUr), 2021‏ - dl.acm.org
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 …

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 …

DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics

A Muguli, L Pinto, N Sharma, P Krishnan… - arxiv preprint arxiv …, 2021‏ - arxiv.org
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 …

A novel multimodal fusion framework for early diagnosis and accurate classification of COVID-19 patients using X-ray images and speech signal processing …

S Kumar, MK Chaube, SH Alsamhi, SK Gupta… - Computer methods and …, 2022‏ - Elsevier
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 …