Nature

Anomaly detection in urban lighting systems using autoencoder and transformer algorithms

The study aims to present the effectiveness of anomaly detection algorithms in lighting systems based on analyzing records from electricity meters. The road lighting management system operates ...
Nature

Anomaly detection with domain specific shapelet learning for sucker rod pump system

Ensuring the reliable operation of Sucker Rod Pump Systems (SRPS) is of paramount importance in the petroleum industry, demanding effective methods for the early detection of slow-developing secondary ...
EurekAlert!

COVAD: Content-oriented video anomaly detection using a self attention-based deep learning model

Video anomaly detection is a research hotspot in the field of computer vision, attracting many researchers.Video anomaly detection differs from traditional video analysis. Usually, abnormal events ...
CSOonline

What is anomaly detection? Behavior-based analysis for cyber threats

Anomaly detection can be powerful in spotting cyber incidents, but experts say CISOs should balance traditional signature-based detection with more bespoke methods that can identify malicious activity ...