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 ...

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 ...

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

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 ...

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 ...

AFL boss Andrew Dillon has described the much-discussed small crowd for last week’s St Kilda v Western Bulldogs game as “an anomaly” for Thursday nights this season. Responding to discussion ...

Installing a smart water sensor can save you a lot of money and hassle. The best models we've tested immediately alert you to leaks and even shut off your home's water supply.