Bayesian Change-Point Detection and Time Series Decomposition
Exploring possible methods for Audio Anomaly Detection - on machine sounds (MIMII dataset)
Group 13's project for the WASP course: Scalable Data Science and Distributed Machine Learning
A predictive maintenance framework contrasting feed-forward and sequential machine learning models to forecast industrial machinery failures, achieving near-perfect AUROC scores with GRU models.
[Anomaly detection] refers to the process of identifying patterns in data that do not conform to expected behavior. This project aims to develop a machine learning model to predict and identify potential attacks in IoT networks, thus helping to secure these networks from malicious activities.
Machine learning based intrusion detection system
BigFoot is a comprehensive analytics tool designed for the analysis of Bigfoot sighting data, utilising machine learning and data visualisation. The application imports verified sighting reports from the BFRO (Bigfoot Field Researchers Organisation) and provides interactive dashboards, maps, and predictive tools for exploring cryptid reports.
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