Abstract: Recurrent neural network-based sequence-to-sequence (S2S) models have been extensively applied for multistep-ahead time-series forecasting. These models typically involve a decoder trained ...
Abstract: Improving anomaly detection accuracy in time series data is essential for the operation of communication networks. Encoder-decoder models, which learn the correlations within the data, have ...
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