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Anomaly Detection Method for Multivariate Time Series Data Based on BLTranADSTM) and Transformer to more effectively capture anomalous patterns in time series data, improving upon the mTranAD algorithm. BiLSTM allows the model to take both past and future context into account, which allows BiLSTM to pass a more comprehensive context to the Transformer model, a combination t