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Anomaly Detection of Periodic Multivariate Time Series under High Acquisition Frequency Scene in IoT.

, , , , and . ICDM (Workshops), page 543-552. IEEE, (2020)

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IoT-GAN: Anomaly Detection for Time Series in IoT Based on Generative Adversarial Networks., , , , , and . ICA3PP (2), volume 13156 of Lecture Notes in Computer Science, page 682-694. Springer, (2021)Anomaly Detection of Periodic Multivariate Time Series under High Acquisition Frequency Scene in IoT., , , , and . ICDM (Workshops), page 543-552. IEEE, (2020)You May Not Need Order in Time Series Forecasting., , , , , and . CoRR, (2019)Learning Traffic as Videos: A Spatio-Temporal VAE Approach for Traffic Data Imputation., , , , , and . ICANN (5), volume 12895 of Lecture Notes in Computer Science, page 615-627. Springer, (2021)Spatio-Temporal Data Anomaly Detection Using 3G-Net in IoT., , , , and . ICPADS, page 770-777. IEEE, (2022)Adaptive Dila-DenseNet for Image based Time Series Classification in IoT., , , , , and . IJCNN, page 1-8. IEEE, (2021)Real-time detection of false data injection attack using residual prewhitening in smart grid network., , , and . SmartGridComm, page 83-88. IEEE, (2017)400 GHz Easy-Packaging Waveguide Filters Based on Mixed-Mode and Off-Axis Couplings., , and . IEEE Access, (2021)On detecting primary user emulation attack using channel impulse response in the cognitive radio network., , , and . Frontiers Inf. Technol. Electron. Eng., 18 (10): 1665-1676 (2017)Vehicle trajectory modelling with consideration of distant neighbouring dependencies for destination prediction., , , , , and . Int. J. Geogr. Inf. Sci., 33 (10): 2011-2032 (2019)