-
on leveraging advanced computer vision (CV) and deep learning (DL) techniques to develop a state-of-the-art computer-aided detection and diagnosis (CAD) system for early-stage Alzheimer's disease (AD) detection
-
intelligence, Machine learning, and Computer vision for subsurface characterisation This project aims to develop computer vision applications for geological characterisation using state-of-the-art AI/ML methods
-
conjunction with Curtin University, and supported by the Department of Mines, Industry Regulation and Safety (DMIRS) and industry. This PhD candidate based at Curtin University will develop vision-based
-
team of collaborators and stakeholders with expertise in biomechanics, spatial and speech sciences, computer vision, machine learning, and clinical experience in the diagnosis/management of Speech Sound
-
AI models including computer vision will be complemented by some experiment conduct experiences. The applicant must be eligible to enrol in PhD program at Curtin University, and physically present in
-
video as it does not require wearing a device and remebering to charge it and so on. But computer vision-based falls detection in the elderly can be problematic due to false privacy concerns, cost, and
-
publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
-
2020 white paper “For the future: towards the healthiest and safest Region. A vision for the WHO work with Member States and partners in the Western Pacific”. This not only ensures that the WHOCC's work