To solve this problem, an automatic feature extraction method using a recurrent neural network (RNN)-based Autoencoder (AE) is proposed in this paper. We extracted features from skeletal gait data by ...

Keywords: feature extraction, variational autoencoder, ECG, electrocardiography, deep learning, explainable AI Citation: Kuznetsov VV, Moskalenko VA, Gribanov DV and Zolotykh NY (2021) Interpretable ...

This paper presents a brief review of traditional and deep learning techniques and classification of images. The conventional methods increase classification and feature extraction design, that turn ...

Extract features and detect anomalies in industrial machinery vibration data using a biLSTM autoencoder - usadetroit ... Setting up and training an LSTM-based autoencoder to detect ... all paths and ...

^FBP_32 represents the FBP feature extraction of 32-channel collect EEG signals, ... EEG, emotion recognition, neural network, Stack AutoEncoder, LSTM. Citation: Xing X, Li Z, Xu T, Shu L, Hu B and Xu ...