In intelligent transportation systems (ITS), machine learning is highly effective in anomaly detection for state estimation (SE) in traffic flow measurement, but it requires resource-intensive ...

This research paper presents a comprehensive Machine Learning-Driven Predictive Maintenance Framework designed for Anomaly Detection and Prognostics in Wind Farm Operations. The framework aims to ...

Leveraging Anomaly Detection. To enhance our threat hunting capabilities, the Anitian SecOps team has invested in anomaly detection as a capability to surface subtle security risks and/or obvious ...

This continuous learning and adaptation are key. Now, let’s take a look at how Machine Learning can help when we’re dealing with ransomware. Applying Machine Learning Models to Ransomware Recovery ...

Non-parametric, learning algorithms based on machine learning principles are therefore desirable as they can learn the nature of normal measurements and autonomously adapt to variations in the ...

Orion uses statistical and machine learning-based models that are continuously logged and maintained. Users do not need to be machine learning experts to utilize the code. They can analyze signals, ...

Kaspersky Machine Learning for Anomaly Detection interface: the report shows how manufacturing process parameters change in real-time, and that there is an anomaly (on the lowest chart) Woburn ...