Decoding the work-from-home phenomenon: insights from location-based service data
The global pandemic has catalysed a shift in the job market, with remote work evolving from being an option to a widespread practice.
The use of digital footprints in the US mortgage market
Research digital skills training 2021 Detecting anomalous matches in professional sports: a novel approach using advanced anomaly detection techniques Dr Dulani Jayasuriya, Business and Economy, Business School; Mohamed Ayaz, PhD candidate, Department of Civil and...
Improving In Vitro Fertilisation (IVF) with Machine and Deep Learning
By exploring how to improve the success rate of In Vitro Fertilisation (IVF) implantations, we hope the knowledge will be embedded in a model and made it widerly available locally and overseas where the investment will generate export value for New Zealand and benefit the needed parents by reducing IVF waiting time and increasing the rate of live births.
Automated stone artefacts classification using machine learning
Stone artifacts are often the most abundant class of artifacts but their consistent identification is limited by the number of archaeologists with experience in their identification.
Enhancing Spontaneous Recovery after Stroke Study (ESPRESSo)
Research digital skills training 2021 Enhancing Spontaneous Recovery after Stroke Study (ESPRESSo) Prof Winston Byblow, Principal Investigator, Exercise Sciences, Prof Cathy Stinear & Prof Alan Barber, Medicine; A/Prof Arier Lee, Biostatistician, University of...
Data analytics and visualisation for improving public health and transport planning
Research digital skills training 2021 Data analytics and visualisation for improving public health and transport planning Professor Mark Gahegan, Computer Science; Assoc Professor Daniel Exeter, Epidemiology and Biostatistics; Professor David O’Sullivan, Victoria...
Coastal image classification and nalysis based on convolutional neural betworks and pattern recognition
Develop short-term eruption warning systems for Whakaari and other volcanoes Coastal image classification and analysis based on convolutional neural betworks and pattern recognition Assoc Professor Bo Liu1,2, Bin Yang1, Assoc Professor Giovanni Coco2*, Huina Wang1,...
An investigation into Leap Motion device for “gesture-as-sign”
Develop short-term eruption warning systems for Whakaari and other volcanoes An investigation into Leap Motion device for “gesture-as-sign” Lucy Boermans, Elam School of Fine Arts ; Andrew Leathwick, Centre for eResearch Home • Archive for "University...
Using Zebra Finch data and deep learning classification to identify individual bird calls from audio recordings
Using Zebra Finch data and deep learning classification to identify individual bird calls from audio recordings Ines Moran, PhD Candidate, Yen Yi Loo, PhD Candidate, Dr Kristal Cain, Senior Lecturer, Biological Sciences; Nick Young, Senior Solutions Specialist, Centre...
Towards the use of deep learning techniques for storm surge prediction
Developing a neural network to model the relationship between sea level pressure (SPL) fields and storm surge (SS) levels from a number of New Zealand tidal gauge.