In a bid to improve quality control and reduce production errors, manufacturers are increasingly adopting automated anomaly detection systems. These systems automatically identify defects in ...

Machines fail. By creating a time-series prediction model from historical sensor data, you can know when that failure is coming Anomaly detection covers a large number of data analytics use cases.

The civilian GPS signals are vulnerable to spoofing attacks in UAV system. A new on-board algorithm named MSSTP-OAD enables low-cost drones to detect counterfeit GPS positions in real time using only ...

In finance, swift detection of anomalies can mean the difference between risk management and huge losses. Anomaly detection plays a significant role in fraud prevention by spotting irregular patterns ...

Researchers have designed a robust image-based anomaly detection (AD) framework with illumination enhancement and noise suppression features that can enhance the detection of subtle defects in ...

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 ...