Industrial Control Systems (ICSs) are integral to critical infrastructure and industrial processes, making their security paramount. As ICSs become increasingly interconnected, they are vulnerable to ...

CBM and Machine Learning . CBM data is far more valuable when coupled with machine learning, a form of AI adept at anomaly detection and catching asset issues prior to failure. Technicians cannot ...

One project Monteleoni worked on uses machine learning algorithms to combine the predictions of the approximately 30 climate models used by the Intergovernmental Panel on Climate Change.

Anomaly detection in multivariate time series data is essential across a range of industries, including finance, healthcare, and manufacturing, where timely identification of unusual patterns can ...

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Anomaly Detection Engine: Uses various unsupervised learning models (e.g., Isolation Forest, Autoencoder, DBSCAN) to detect anomalous behavior. API Backend: Flask-based REST API with routes for ...

Contribute to Mattia018/Machine-Learning-Anomaly-Detection development by creating an account on GitHub. Skip to content. Navigation Menu Toggle navigation. Sign in Appearance settings. Product GitHub ...