AttnWGAIN: Attention-Based Wasserstein Generative Adversarial Imputation Network for IoT Multivariate Time Series

Z. Jane Wang; Qian Ma; Dianxin Cui; Shikai Guo; Hui Li; Ning Qiao

doi:10.1109/tce.2025.3600559

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AttnWGAIN: Attention-Based Wasserstein Generative Adversarial Imputation Network for IoT Multivariate Time Series

Z. Jane Wang Qian Ma Dianxin Cui Shikai Guo Hui Li Ning Qiao

Year: 2025 Journal: IEEE Transactions on Consumer Electronics Vol: 71 (4)Pages: 9702-9716 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tce.2025.3600559

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Keywords:

Multivariate statistics Computer science Adversarial system Imputation (statistics) Time series Generative grammar Series (stratigraphy) Generative adversarial network Artificial intelligence Data mining Machine learning Missing data Deep learning

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

AttnWGAIN: Attention-Based Wasserstein Generative Adversarial Imputation Network for IoT Multivariate Time Series

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