Do you play any classical music instruments, like piano or violin? Would you like to combine your advanced music skills with computer science. This project analyses classical music using computer science techniques.
Honours and Masters project
Displaying 21 - 30 of 232 honours projects.
Primary supervisor: David Taniar
Primary supervisor: David Taniar
Do you play any classical music instruments, like piano or violin? Would you like to combine your advanced music skills with computer science. This project analyses classical music using computer science techniques.
Primary supervisor: David Taniar
Are you interested in applying your AI/DL knowledge to the medical domain?
Primary supervisor: David Taniar
Are you interested in programming maps, such as GoogleMaps or Open Street Maps? This project uses online maps extensively for visualising routes, and other objects of interest.
Primary supervisor: David Taniar
Do you play any classical music instruments, like piano or violin? Would you like to combine your advanced music skills with computer science. This project analyses classical music using computer science techniques.
Primary supervisor: David Taniar
Are you interested in applying your database knowledge to a real project? This is a collaboration with the Faculty of Medicine, Monash University.
Primary supervisor: David Taniar
Are you interested in working with hospital data? This project is a collaboration with the Faculty of Medicine, Monash University. In this project, you will be working with medical doctors from Monash Health.
Primary supervisor: Trang Vu
Large language models (LLMs) have recently made significant progress in machine translation quality [1], but they still struggle with maintaining consistency and accuracy across entire documents. Professional translators commonly use translation memory (TM) tools to reuse past translations, ensuring consistent terminology and phrasing throughout a document.
Primary supervisor: Terrence Mak
The research project aims to investigate:
- Multi-Model Fusion with Deep Neural Networks for Future Energy Systems (Smart Grid).
Future energy systems are envisioned to be running decentrally with full automatic control, high proportion of renewable energy (e.g., wind & solar), and abundant storage facilities. With many types of renewable energy sources are weather and climate dependent, accurate and timely prediction on reliability risks (e.g., loss of generation, voltage issues, and thermal limit violations) due to weather/climate are often necessary.
Primary supervisor: Charlotte Pierce
Introductory programming remains a significant challenge for many students. A large factor impacting success is each student's motivation to engage with assessment and practice exercises. One strategy for improving student engagement is to offer multiple assessment options.