Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

In this study, the focus is concentrated on the detection of anomalous network traffic (or intrusions) from flow-based data using unsupervised deep learning methods with semi-supervised learning ...

The sheriff's office said the K9 represents a major step forward in their ability to detect concealed electronic evidence and help ensure justice for victims.

The most anticipated particle physics result of recent years is here—but the real news came one week before: the “muon g–2 anomaly” might have never existed ...

In this paper, we introduce an unsupervised anomaly detection for industrial robots, sliding-window convolutional variational autoencoder (SWCVAE), which can realize real-time anomaly detection ...

An unsupervised autoencoder approach achieves moderate success for anomaly detection (accuracy = 0.881) but struggles with recall (0.070). These findings highlight the trade-off between detection ...

Spotting the Unexpected (STU): A 3D LiDAR Dataset for Anomaly Segmentation in Autonomous Driving Alexey Nekrasov 1, Malcolm Burdorf 1, Stewart Worrall 2, Bastian Leibe 1, Julie Stephany Berrio Perez 2 ...