effectively in this task. Simultaneously, we developed a bidirectional Long Short-Term Memory (LSTM) based method to calculate …

effectively in this task. Simultaneously, we developed a bidirectional Long Short-Term Memory (LSTM) based method to calculate …

Long short-term memory (LSTM) is a special type of recurrent neural network (RNN) architecture that was designed over … work with different types of LSTM architectures for sentiment analysis of movie reviews. It has been showed that LSTM RNNs … different architectures associated with LSTM models to study their relative performance on sentiment analysis. A simple LSTM is …

extracted from the data set and then applied to a long short-term memory (LSTM) model to classify the heartbeats. Finally, the … ensemble of CNN and LSTM model with sum rule, product rule and majority voting has been used to identify the heartbeat classes …, morphological and wavelet) were extracted from the raw data set and then applied to the bidirectional LSTM model to classify the ECG …