Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
the technological transformation of the music score (DigiScore). DigiScore is funded by a €2Million ERC-funded Consolidator grant (2021-2026). The project will work in partnership with Monash University (Australia
-
management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research. Key Components and Example Scenarios Predictive Resource Allocation and Load
-
and Boulton, 1968; Wallace and Dowe, 1999a; Wallace, 2005) is a Bayesian information-theoretic principle in machine learning, statistics and data science. MML can be thought of in different ways - it
-
Motorola Solutions Leap Scholarships Industry Leaders Scholarship The Motorola Solutions Leap Scholarships are designed to support students pursuing a Bachelor of Paramedicine (Honours) or a Master of Specialist Paramedic Practice. These scholarships aim to help equip the next generation of...
-
comprising one or more of: a bachelor’s honours degree in a relevant discipline (computer science, software engineering), which includes a research thesis or project, with an overall average grade equivalent
-
We are living in the era of the 4th industrial revolution through the use of cyber physical systems. Data Science has revolutionised the way we do things, including our practice in healthcare
-
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 in diverse, real-world environments. Both classical machine learning methods and deep learning...
-
Melton A dietitian studying through Monash University and working at Alfred Health has been awarded the scholarship for her research: ‘The role of exclusive enteral nutrition on intestinal physiology and
-
your application. Monash University seeks applicants for this opportunity who are able to demonstrate present valid and current Australian work rights.
-
analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images