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Honours and Masters project

Displaying 41 - 50 of 243 honours projects.


Can you see the melody line? (just by looking at the music score)

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.  

Colouring Music

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.

Explainable AI (XAI) in Medical Imaging

Are you interested in applying your AI/DL knowledge to the medical domain?

GoogleMaps or OpenStreetMap Analysis

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.

Is it Violin or Viola?

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.

Patient Database for Hospitals in Australia

Are you interested in applying your database knowledge to a real project? This is a collaboration with the Faculty of Medicine, Monash University.

Text Processing of Emergency Hospital Data

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. 

LLM-Based Translation Agent with Integrated Translation Memory

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.

Multi-modal Fusion for Future Energy Systems

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.

Support Urban Mobility and Electric Vehicle Charging: AI and Optimization Approach to Electric Vehicle Charging Infrastructure Planning and Charging Management

The rapid growth of electric vehicles (EVs) is transforming the transportation systems worldwide. Both EV fleets and private EVs are emerging as a cleaner and more sustainable component of urban mobility, forming an effective way to solve environmental problems and reduce commute costs in future smart cities. Due to the complex spatiotemporal behaviors of passengers and their travel patterns, the unmanaged electric charging demand from EVs may significantly impact the existing transportation and electrical power infrastructure.