Oct 2026
Zero-Shot Wireless Sensor Anomaly Detection via Global-Local Temporal Representation Learning
Zero-shot anomaly detection (ZSAD) in wireless sensor networks (WSNs) is essential for mission-critical applications such as smart homes and assisted living. However, existing methods rely heavily on large annotated datasets, limiting their ability to generalize to unseen anomaly types and increasing deployment costs....
Li-Jun Cui, Yuxiang Sun, Chen-Fei Zhang et al.
· IEEE Internet of Things Jour... · 0 citations