Abstract: IDS (intrusion detection systems) use analysis ... data in the IDS. Feature extraction decreases the number of features, which decreases the time it takes to train and increases accuracy.

The schematic illustration of the proposed model and other considered autoencoder feature extraction models are shown in Figure ... The highest accuracy (= 95.8%) is achieved by the proposed LSTM-AVAE ...

We propose a method for generating an electrocardiogram (ECG) signal for one cardiac cycle using a variational autoencoder ... Another approach for constructing a good feature description is automatic ...

Extracting relevant features from industrial vibration timeseries data using the Diagnostic Feature Designer app Setting up and training an LSTM-based autoencoder to detect abnormal behavior ...

What is an LSTM autoencoder? LSTM autoencoder is an encoder that makes use of LSTM encoder-decoder architecture to compress data using an encoder and decode it to retain original structure using a ...