… CNN and LSTM models have their specific features. In this study, a hybrid CNN–LSTM DL
model, which integrates the advantages of both the CNN and LSTM models, was developed …

… CNN-LSTM model is compared to other machine learning models (LR, KNN, DTR), as well
as deep learning models (… other deep learning models like LSTM and CNN, the model CNN-…

… of hybrid CNN and LSTM, the 605 structure of the model achieved our goal of delivering a
model … system based on 644 the CNN and LSTM deep learning algorithms. We stacked 645 …

… We evaluated our proposed model with the recently explored LSTM-based deep learning …
a hybrid CNN-LSTM model, which can exploit the benefits of convolutional layers and LSTM …

… two novel deep learning models CNN and hybrid CNN-LSTM along with … CNN and hybrid
CNN-LSTM technique, respectively, on Smote + tomek link sampled dataset. Our models along …

… 8 that rather than the NN model, the LSTM and GRU models … , the proposed hybrid deep
learning model, LSTM-CNN model, is … models have less R2 value compared to the LSTM-CNN …

… hybrid CNNLSTM model on UCI HAR dataset. In this work, we apply LSTM and hybrid
CNN-LSTM … motivated us to use combination of two highly popular deep learning models for our …

… a hybrid behavior detection model based on deep learning technology. First, … CNN to extract
motion features. Then input the features of these trajectories into the two-layer LSTM model …

… models, we propose a nucleotide-level hybrid deep learning method based on a CNN and
LSTM … The results indicate that the hybrid CNN and LSTM networks can be employed to …

… , a hybrid model, called Hybrid SCLC referred to as a connection of LSTM, SMA, and CNN is
proposed to model … The objective model predicts GSR through extraction of difficult patterns …