Machine Learning assisted detection and prediction of climate change related anomalous events in complex marine systems
This project is a PhD Cullen MI award. It is a multidisciplinary project that aims to bridge the gap between marine sciences and machine learning in detecting climate change related anomalous events. Anomalies are data points or patterns in data that are unusual and do not conform to a notion of normal behaviour. Anomaly detection […]
