Abstract Machine Learning (ML) and Deep Learning (DL) have achieved high success in
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …

Cough acoustics contain multitudes of vital information about pathomorphological
alterations in the respiratory system. Reliable and accurate detection of cough events by …

Ensemble learning techniques have achieved state-of-the-art performance in diverse
machine learning applications by combining the predictions from two or more base models …

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 …

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 …

COVID-19 pandemic has fueled the interest in artificial intelligence tools for quick diagnosis
to limit virus spreading. Over 60% of people who are infected complain of a dry cough …

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 …

For COVID-19, the need for robust, inexpensive, and accessible screening becomes critical.
Even though symptoms present differently, cough is still taken as one of the primary …

Recently deep learning has attained a breakthrough in model accuracy for the classification
of images due mainly to convolutional neural networks. In the present study, we attempted to …

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 …