Feature extraction and representation has significant impact on the performance of any
machine learning method. Mel Frequency Cepstrum Coefficient (MFCC) is designed to …

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

The proportion of COVID-19 patients is significantly expanding around the world. Treatment
with serious consideration has become a significant problem. Identifying clinical indicators of …

Abstract The Coronavirus (COVID-19) pandemic impelled several research efforts, from
collecting COVID-19 patients' data to screening them for virus detection. Some COVID-19 …

Symbolic learning is the logic-based approach to machine learning, and its mission is to
provide algorithms and methodologies to extract logical information from data and express it …

Deep Learning shows promising performance in diverse fields and has become an
emerging technology in Artificial Intelligence. Recent visual recognition is based on the …

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 …

Cough is a very common symptom and the most frequent reason for seeking medical advice.
Optimized care goes inevitably through an adapted recording of this symptom and automatic …

Alongside the currently used nasal swab testing, the COVID-19 pandemic situation would
gain noticeable advantages from low-cost tests that are available at any-time, anywhere, at a …

The goal of this paper is to classify the various cough and breath sounds of COVID-19
artefacts in the signals from dynamic real-life environments. The main reason for choosing …