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“What I love about exchange is being able to really immerse oneself in the culture and being able to live as a local."
At RMIT’s College of Design and Social Context we’re passionate about working in partnership with business, industry, the cultural sector, policymakers and communities, to create new knowledge and advance innovative solutions to sector and societal challenges, on a local and global scale.
The project aims to develop unsupervised ML (Machine Learning) methods for anomaly detection in the fleet time series data to identify unknown and unlabelled train issues. Furthermore, the methods can incorporate inputs by a fleet/maintenance engineer into ML-based training and data analytics, which will provide algorithmic transparency, allowing decision-makers to have faith and confidence in the recommendations made by the ML/AI algorithms.
RMIT Capabilities describe the skills, knowledge and values that you will develop through your studies.
This project develops an AI-enhanced decision support system for optimising energy use and crop yield in Australian greenhouse agriculture, using state-of-the-art machine learning and data analytic methods.
This study aims to research the needs of Victorian community schoolteachers for the development of quality, evidence-based teacher training courses.
I’m Jiajia, a PhD student at RMIT University. I finished my Bachelors degree at Hebei University (China), where I majored in inorganic nanomaterials for ph
The annual Australia New Zealand Workshop on Experimental Economics (ANZWEE) aims to provide researchers interested in experimental and behavioural economics with an opportunity to present their latest research, receive constructive feedback in an informal environment, and network with other researchers.
