2 results match your criteria: "Faculty of Engineering and ITUniversity of Technology Sydney Sydney NSW 2007 Australia.[Affiliation]"
EEG Information Transfer Changes in Different Daily Fatigue Levels During Drowsy Driving.
IEEE Open J Eng Med Biol
February 2024
Australian Artificial Intelligence Institute, Faculty of Engineering and ITUniversity of Technology Sydney Sydney NSW 2007 Australia.
A significant issue for traffic safety has been drowsy driving for decades. A number of studies have investigated the effects of acute fatigue on spectral power; and recent research has revealed that drowsy driving is associated with a variety of brain connections in a specific cortico-cortical pathway. In spite of this, it is still unclear how different brain regions are connected in drowsy driving at different levels of daily fatigue.
View Article and Find Full Text PDFCOVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data.
IEEE Access
August 2020
Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), School of Information, Systems, and Modeling, Faculty of Engineering and ITUniversity of Technology Sydney Sydney NSW 2007 Australia.
Detecting COVID-19 early may help in devising an appropriate treatment plan and disease containment decisions. In this study, we demonstrate how transfer learning from deep learning models can be used to perform COVID-19 detection using images from three most commonly used medical imaging modes X-Ray, Ultrasound, and CT scan. The aim is to provide over-stressed medical professionals a second pair of eyes through intelligent deep learning image classification models.
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