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Abstract: Variational Mode Extraction (VME) introduces a new criterion based on Variational Mode Decomposition (VMD): the residual signal after extracting a specific mode should have minimal or no ...

It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn normal patterns from your metrics and identify deviations. The system includes scripts for data ...

To tackle these challenges, in this paper, we propose a unified Unsupervised Gaussian Mixture Variational Autoencoder for outlier detection. Specifically, a variational autoencoder firstly trains a ...