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Ying-Ying Xu

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Open access Aug 2026

IoT Time-series Anomaly Detection Using a Hybrid Transformer-GRU Fusion Model

This work proposes Residual GRU-Attention Anomaly Detector (RGAAD), an unsupervised framework for IoT time-series anomaly detection that achieves highly competitive performance and consistently outperforms strong baseline methods.

Yi-Tao Liang, Yuan-Gang Li, Ying-Ying Xu · Periodica Polytechnica Elect... · 0 citations