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 …
Comprehensive survey of using machine learning in the COVID-19 pandemic
Since December 2019, the global health population has faced the rapid spreading of
coronavirus disease (COVID-19). With the incremental acceleration of the number of …
coronavirus disease (COVID-19). With the incremental acceleration of the number of …
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 …
Detection of COVID-19 in smartphone-based breathing recordings: A pre-screening deep learning tool
M Alkhodari, AH Khandoker - PloS one, 2022 - journals.plos.org
This study was sought to investigate the feasibility of using smartphone-based breathing
sounds within a deep learning framework to discriminate between COVID-19, including …
sounds within a deep learning framework to discriminate between COVID-19, including …
AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath
This study presents the Auditory Cortex ResNet (AUCO ResNet), it is a biologically inspired
deep neural network especially designed for sound classification and more specifically for …
deep neural network especially designed for sound classification and more specifically for …
[HTML][HTML] QUCoughScope: an intelligent application to detect COVID-19 patients using cough and breath sounds
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 …
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
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 …
A performance study of CNN architectures for the autonomous detection of COVID-19 symptoms using cough and breathing
Deep learning (DL) methods have the potential to be used for detecting COVID-19
symptoms. However, the rationale for which DL method to use and which symptoms to …
symptoms. However, the rationale for which DL method to use and which symptoms to …
Automated COVID-19 and heart failure detection using DNA pattern technique with cough sounds
COVID-19 and heart failure (HF) are common disorders and although they share some
similar symptoms, they require different treatments. Accurate diagnosis of these disorders is …
similar symptoms, they require different treatments. Accurate diagnosis of these disorders is …
COVID-19 genome sequence analysis for new variant prediction and generation
The new COVID-19 variants of concern are causing more infections and spreading much
faster than their predecessors. Recent cases show that even vaccinated people are highly …
faster than their predecessors. Recent cases show that even vaccinated people are highly …