Advancements in AI-Guided Analysis of Cough Sounds for COVID-19 Screening: A Comprehensive Review
AM Soomro, AB Naeem, MA Rajwana, MY Bashir… - Journal of Computing & …, 2023 - jcbi.org
The COVID-19 pandemic, a severe lung condition that produces excessive coughing, has
placed an undue strain on healthcare systems throughout the globe. Screening that is …
placed an undue strain on healthcare systems throughout the globe. Screening that is …
[PDF][PDF] COVID-19 Diagnosis from cough samples using Deep Learning methods
P Valergaki - 2023 - dspace.lib.ntua.gr
Abstract Coronavirus disease of 2019 (COVID-19) has affected the lives of millions of people
around the globe. Up until July 2022, there were 569.771. 691 active cases of COVID-19 …
around the globe. Up until July 2022, there were 569.771. 691 active cases of COVID-19 …
Desarrollo de un sistema de detección de covid-19 para el hospital general Puyo mediante procesamiento de patrones sonoros y temperatura
DM Luzuriaga Morán - 2023 - dspace.unach.edu.ec
En esta investigación se desarrolló un sistema de detección de COVID-19 para el Hospital
General Puyo utilizando procesamiento de patrones sonoros y temperatura. Se …
General Puyo utilizando procesamiento de patrones sonoros y temperatura. Se …
[PDF][PDF] Application of Machine Learning in the Fight against the COVID-19 Pandemic: A Review
Introduction: Machine learning (ML) plays a significant role in the fight against the COVID-19
(officially known as SARS-CoV-2) pandemic. ML techniques enable the rapid detection of …
(officially known as SARS-CoV-2) pandemic. ML techniques enable the rapid detection of …
[PDF][PDF] Detection and Risk Level of COVID 19 through Artificial Neural Networks
B Luna-Benoso, JC Martínez-Perales, V Sánchez-Cruz… - 2023 - m-hikari.com
Around March 2020, the UN declared the coronavirus COVID-19 disease outbreak as a
pandemic. The cases registered worldwide from the beginning and until February 2023 …
pandemic. The cases registered worldwide from the beginning and until February 2023 …
Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
S Tasnim, S Sarker, P Bhoumik, KM Al Maruf, R Hasib… - 2023 - dspace.bracu.ac.bd
Despite various preventative measures and therapies, the COVID-19 pandemic has
exposed a number of weaknesses and vulnerabilities in global health systems, particularly …
exposed a number of weaknesses and vulnerabilities in global health systems, particularly …
[PDF][PDF] Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough
AR Chaudhari, P Govindan, C Canham, W Chen… - academia.edu
The Covid-19 pandemic has been one of the most devastating events in recent history,
claiming the lives of more than 5 million people worldwide. Even with the worldwide …
claiming the lives of more than 5 million people worldwide. Even with the worldwide …
Open-ended hollow coaxial cable resonance sensing via permittivity fluctuations for applications to exhaled breath health monitoring
PH Holtmann - 2024 - scholarsmine.mst.edu
Abstract" We report a pre-diagnostics breath analyzer based on the open-ended hollow
coaxial cable resonator (OE-HCCR) to achieve real-time differentiation of healthy and …
coaxial cable resonator (OE-HCCR) to achieve real-time differentiation of healthy and …
[HTML][HTML] Detection of COVID-19 using wavelet transform
FA Bida, HA Naser - 2022 - europepmc.org
Covid-19 is a disease that affects the respiratory system of the human body, and detecting
this disease is a complex and one of the main challenges. This work proposed a technique …
this disease is a complex and one of the main challenges. This work proposed a technique …
Machine learning to detect covid-19 using cough sounds
BE GHOUAR, ML SENOUSSI - dspace.univ-ouargla.dz
The objective of this project is to design a diagnostic aid system for the early COVID-19
Detection disease from the voice. Mainly, the proposed system is based on two main steps …
Detection disease from the voice. Mainly, the proposed system is based on two main steps …