This study provides a novel approach to detecting COVID-19 using cough recordings. The
approach uses labeled and unlabeled data and a Mean Teacher model with consistency …

The COVID-19 pandemic has presented unprecedented challenges to public health, with
the detection and isolation of potentially infected patients being one of the most crucial …

En la actualidad la neumonía es la principal causa de mortalidad infantil, alcanzando
anualmente a cifra 1.1 millones de fallecimiento de niños menores de 5 años. Para …

In this work, a deep learning algorithm is proposed to detect whether the cough belongs to a
healthy one or sick one. The objective of this work is to propose an improved deep learning …

This study provides a novel approach to detecting COVID-19 using cough recordings. The
approach uses labeled and unlabeled data and a Mean Teacher model with consistency …

The human voice carries unique individual characteristics and finds widespread application
in voice pathology detection (VPD). In this thesis, human audio recordings are utilized to …

A lot of effort has gone into eradicating the pandemic caused by the COVID-19 outbreak.
One initiative in the efficient control of the spread of it lies in the methods for its diagnosis …

The rate at which technology grew in the past years is unbelievably fast and astounding.
However, chronic illnesses like respiratory diseases remains a common and widely …

Cough is a prevalent acoustic event that contains rich information about underlying ailment
in a person. It is used in the diagnosis of several respiratory illnesses including Asthma …

This research proposed a robust and easily applied method for tuberculosis (TB) screening
system based on the analysis of patients' cough sounds. The coughing sound of patients …