Sort by
Refine Your Search
-
Employer
-
Field
-
learning by using Bayesian learning principles. Among other things, Bayesian learning gives AI systems the ability to quantitatively express a degree of belief about a prediction or statement. By bridging
-
-computer interaction About the partnership This applied PhD is hosted by Monash University’s Eastern Health Clinical School (EHCS), in partnership with Turning Point and Action Lab. The successful candidate
-
history of family AOD use and To estimate potential health, social and economic benefits of reducing the burden of family AOD use. The student would develop the project with their supervisors to make it
-
The Journal of Pediatrics entitled “Estimating Preterm Lung Volume: A comparison of lung ultrasound, chest radiography and oxygenation ”. 2020 – Natasha Pritchard and Caitlin Nguyen-Ngo Natasha Pritchard
-
, for instance, utilise conversational agents, computer vision, mixed reality, wearables etc. Disability, Technology, and Society: Research with a sociological or anthropological focus on the use of bespoke and/or
-
Charles Sturt University | Charles Sturt University, New South Wales | Australia | about 1 month ago
? The site could be temporarily unavailable or too busy. Try again in a few moments. If you are unable to load any pages, check your computer’s network connection. If your computer or network is protected
-
an ARC Linkage Project focused on developing an autonomous system for detecting and quantifying structural damage in infrastructures (e.g., bridges, grain silos) using computer vision, digital twins, and
-
. It affects over 5 million hectares across southern and western Australia, costing grain growers an estimated $100 million annually through poor crop establishment, reduced water and nutrient uptake
-
children. Mechanistic modelling of disease transmission involves the use of computer code to represent the epidemic dynamics of infectious disease spread within the community. This allows modellers
-
and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention