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The project will develop a robust approach to use maximum entropy methods to model likelihood functions for a Bayesian analysis of chemical data. This will allow values and confidence intervals to be obtained from chemical measurements that are better ...
The question of childhood in Chinese and European cinema since 1945 (modernity, mobility, framing and narrative)
This project aims to develop signal processing algorithms to extract features from inertial signals which correlate with current clinical measures of fall risk. The signals are acquired during normal unsupervised movement using a small waist-worn monitor.
Dr Kylie Yates is a Conjoint Lecturer with the School of Women's & Children's Health.