Abstract: Patients with respiratory conditions typically exhibit adventitious respiratory sounds (ARS), such as wheezes and crackles. In recent years, computerized methods for analyzing respiratory ...
Engineers have long searched for cleaner ways to fight fires without relying on water or chemicals. In 2015, two George Mason University students, Viet Tran and Seth Robertson, developed a portable ...
This study aimed to develop a hybrid deep learning model for classifying multiple fundus diseases using ultra-widefield (UWF) images, thereby improving diagnostic efficiency and accuracy while ...
Accurate and automated fruit classification plays a vital role in modern agriculture but remains challenging due to the wide variability in fruit appearances. In this study, we propose a novel ...
Abstract: Environmental sound classification (ESC) is an important task in machine learning, with broad applications ranging from urban monitoring to wildlife protection and smart cities. By enabling ...