Pathfinding is fundamental operation in video game AI: virtual characters need to move from location A to location B in order to explore their environment, gather resources or otherwise coordinate themselves in the course of play. Though simple in principle such problems are surprisingly challenging for game developers: paths should be short and appear realistic but they must be computed very quickly, usually with limited CPU resources and using only small amounts of memory.
Honours and Minor Thesis projects
Displaying 151 - 160 of 211 honours projects.
Primary supervisor: David Taniar
This project is part of a larger project on Hand Hygiene, which aims to address hand hygiene in hospitals by combining a suite of digital monitoring products with advanced data analytics. We expect to create a system that monitors the full user journey and performs constant data analysis through a cloud-based system.
Primary supervisor: David Taniar
This project is part of a larger project on Hand Hygiene, which aims to address hand hygiene in hospitals by combining a suite of digital monitoring products with advanced data analytics. We expect to create a system that monitors the full user journey and performs constant data analysis through a cloud-based system.
Primary supervisor: Lan Du
As a pregnancy approaches term (the point at which the foetus is considered fully developed), decisions are made about the timing of birth and the way babies are born. These decisions are incredibly challenging for clinicians and pregnant women. Digital health records, advances in big data, machine learning and artificial intelligence methodologies, and novel data visualisation capabilities have opened up opportunities for a dynamic, ‘Learning Health System’ – where data can be harnessed to inform real-time and personalised decision-making.…
Primary supervisor: Lan Du
Traumatic brain injury (TBI) is an injury to the brain caused by an external force from incidents such as motor vehicle crashes, falls, assault or sports collisions. Almost seventy million individuals globally are estimated to suffer from TBI per annum [1], deeming it a major public health concern which is estimated to cost the global economy approximately $US400 billion annually [2]. Early identification of severe TBI with proper assessment and treatment lowers the risk of secondary injury and subsequent long-term disability and subsequent costs.…
Primary supervisor: Hamid Rezatofighi
Pose Tracking is the task of estimating multi-person human poses in videos and assigning unique instance IDs for each keypoint across frames. Accurate estimation of human keypoint-trajectories is useful for human action recognition, human interaction understanding, motion capture and animation.
Primary supervisor: Viviane Frings-Hessami
Information behaviour research is usually premised on access remaining available, that is on continuous access to information. Little research has been done on the ways people preserve information that they may need later on. However, with information more and more often provided online, continuous access to information cannot be guaranteed for disadvantaged groups who cannot afford the cost of digital technologies.
Primary supervisor: Jianfei Cai
Deep learning has achieved ground-breaking performance in many vision tasks in the recent years. The objective of this project is to apply the state-of-the-art deep learning based image classification/detection networks such as ResNet or Faster RCNN for classifying CT or X-Ray images.
Primary supervisor: Bioinformatics
Neuroscience is becoming an exciting and multidisciplinary field, with a combination of biology, psychology, engineering, and large-data processing. This project is suitable for those who are motivated to apply data-processing skills to biological questions. Our research projects investigate how neural circuits in the mouse brain work during a behavioural task; we visualise neural activity in vivo using advance fluorescent microscopy (two-photon imaging), while filming the behaviour of mice.
Primary supervisor: Kim Marriott
The last two decades have witnessed a sharp rise in the amount of data available to business, government and science. Data visualisations play a crucial role in exploring and understanding this data. They provide an initial grasp of the data and allow the assessment of findings of data analytics techniques. This reliance on visualisations creates a severe accessibility issue
for blind people (by whom we mean people who cannot use graphics even when magnified).