Feature-Based Normality Models for Anomaly Detection
Detecting previously unseen anomalies in sensor data is a challenging problem for artificial intelligence when sensor-specific and deployment-specific characteristics of the time series need to be learned from a short calibration period. From the application point of view, this challenge becomes inc...
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| Main Authors: | Hui Yie Teh, Kevin I-Kai Wang, Andreas W. Kempa-Liehr |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-08-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/15/4757 |
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