Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Business
- Arts and Literature
- Linguistics
- Law
- Science
- Humanities
- Materials Science
- Biology
- Mathematics
- Education
- Psychology
- Philosophy
- Design
- Environment
- Earth Sciences
- Chemistry
- Social Sciences
- Sports and Recreation
- Electrical Engineering
- 13 more »
- « less
-
Enforcement (LE) context is to augment classification of material by identifying its spatio-temporal context. The Faculty of Information Technology has a mission to advance social good through its research. Key
-
Science is a public good. The benefits of knowledge are or should be available to everyone, but the way this knowledge is produce often responds to individual incentives [1]. Scientist are not only
-
This research project is part of a DECRA fellowship funded by the Australian Research Council for a project titled, Everyday Insurtech: Impacts of Emerging Technology for Insurance. The fellowship
-
The Multi-Agent Path Finding (MAPF) is a combinatorial problem in which agents must find a path from a start to a goal location without colliding with each other. The optimisation group at Monash is
-
part of the Books for the Vision Impaired and the GraVVITAS frameworks (www.monash.edu/it/inclusive-tech ). The project will employ computer vision, image processing and human computer interaction
-
Generative AI NLP skills System security Software testing To be eligible you must have: A first-class honours (H1) Bachelor’s degree or equivalent in the relevant research area (completed or near
-
the input instance: first it preprocesses the instance, then it solve its Linear Programming Relaxation, runs cutting plane algorithms, primal heuristics, then the branch-and-bound. How much time is devoted
-
that are not well understood in biological systems, that are difficult or impossible to measure in real environments, can be accurately captured and understood using these techniques. We are especially
-
This project investigates 3Vs of Big Data (e.g Volume, Variety, and Velocity). Volume: Due to the exponential increase in data volume, it is necessary to adopt parallelism techniques to achieve
-
the research, development, deployment ,and use of AI systems in law enforcement (LE). A major focus is expected to concern the acquisition, use, sharing and governance of data for AI in this context. The Faculty