Monash-Epworth Rehabilitation Research Centre, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia Gershon Spitz ARC Training Centre for Innovation in Biomedical Imaging Technology, The University of Queensland, Brisbane, Queensland...
There are many different approaches to forecasting these variables, such as support vector machines (SVM) with kernel functions or soft margins, various deep learning neural networks (NN), and seasonal auto-regression integral moving average exogenous (SARIMAX) time series models, to name a few. ...
Part-time jobs at home are an excellent way for people to earn extra income while also having the flexibility to work from the comfort of their own homes. With the rise of remote work and the gig economy there are now more opportunities than ever for people to find part-time jobs at ho...
Adding to these learnings with the focus on application and implementation of digital twins, Ibrion et al. (2019) discuss the possible risks of digital twins in the maritime domain. This is done in the context of learning from risks regarding the implementation of digital twins in aviation by ...
What are the most important SCRES strategies for managing the prioritized risks? (iii) What are the alternative causal configurations of risks and SCRES strategies to improve SCP during a severe disruption? The following specific research objectives were developed for the study to address the above...
In Proceedings of the 2017 Australasian Universities Power Engineering Conference (AUPEC), Melbourne, VIC, Australia, 19–22 November 2017; pp. 1–6. [Google Scholar] [CrossRef] Krishna Prakash, N.; Prasanna Vadana, D. Machine learning based residential energy management system. In Proceedings ...