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
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