Sort by
Refine Your Search
-
This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
-
The detection of human activities is crucial for effective monitoring purposes. The challenge lies in accurately and promptly identifying various types of activities from videos and images captured
-
This project aims to identify novel methods for inferring where and when photographs and videos were recorded from features of the material itself. A key requirement of image processing in a Law
-
Automating code generation, SQL query formulation, and data preprocessing pipelines is a crucial step toward intelligent and efficient software development. This project aims to leverage large
-
locations in hundreds of example video frames. Coding expertise is also needed. These barriers mean that automated behavioural prediction tools are accessible to only a fraction of behavioural research labs
-
Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where
-
. These scholarships are competitive and there is a formal process to apply. See details Watch the video Rizky Septiyanti Find out on why Rizky chose to join Monash University, Indonesia Am I eligible? You must be one
-
This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
-
ethnographic research with Australian households living with these robots Collaborate within a research team to produce accessible reports, videos, and academic publications Disseminate research findings through
-
is like Ockham's razor, seeking a simple theory that fits the data well. It can also be thought of as file compression - where data has structure, it is more likely to compress, and the greater