Sort by
Refine Your Search
-
While deep learning has shown remarkable performance in medical imaging benchmarks, translating these results to real-world clinical deployment remains challenging. Models trained on data from one
-
The project involves building and curating a comprehensive food image dataset suitable for mobile AI applications. High-accuracy deep learning models will be trained on this dataset and then
-
random but can only happen along particular directions. However, as the material is made up of many crystals, and they all have different orientations, the deformation process of a polycrystalline material
-
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
-
include: 1. Identify a novel co-design methodology along with the structural templates that could be used to drive the further design process of collocated teamwork analytics with critical educational
-
systems. The fast growth, practical achievements and the overall success of modern approaches to AI guarantees that machine learning AI approaches will prevail as a generic computing paradigm, and will find
-
Quantum optics Quantum energy Nanophotonics for imaging applications Electron-beam induced nanophotonic phenomena Photonics of two-dimensional materials All are active areas of research in the School
-
sensors — from accelerometers to acoustic and imaging technologies — and support cutting-edge monitoring platforms that operate continuously for industry partners. Your work will directly inform engineering
-
, Medical Imaging and Radiation Sciences, with new programs launching in 2026. The Faculty of Medicine, Nursing and Health Sciences is Monash’s largest faculty, consistently ranked among the world’s top
-
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