The architecture of proposed feature fusion LSTM-CNN model comprised of SC-CNN and ST-LSTM models.</p
SFE represents shallow feature extractor. MFFM denotes the proposed multi-level feature fusion modul...
Long short-term memory (LSTM) is a robust recurrent neural network architecture for learning spatiot...
Each rectangle represents a layer in the network. Where appropriate the layer type is abbreviated (i...
The TCN module can be replaced with CNN model. The LSTM module can be replaced with RNN or GRU to ve...
Comparison of out-of-sample results for stock chart images and stock time series data using the feat...
The details of the network with hyperparameters of the LSTM and competing deep learning models.</p
The architecture has three blocks: a convolutional block (CNN), a recursive block (LSTM), and a fina...
Long Short-Term Memory (LSTM) is a type of Recurrent Neural Network (RNN) that is designed to handle...
The prediction model framework of real estate index and stock trend based on CNN-LSTM algorithm opti...
<p>The architectures of the 3D single view CNN (SV-CNN) (top) and 3D MV-CNN (bottom).</p
Comparison of out-of-sample results for fusion chart images using the SC-CNN model.</p
The model mainly consists of the attention-based individual network and the attention-based LSTM sub...
Descriptive one-sample t test results of the CNN, LSTM, and proposed CNN-LSTM algorithms.</p
Construction of the SC-CNN model using residual learning and the bottleneck method.</p
Forecasting stock prices plays an important role in setting a trading strategy or determining the ap...
SFE represents shallow feature extractor. MFFM denotes the proposed multi-level feature fusion modul...
Long short-term memory (LSTM) is a robust recurrent neural network architecture for learning spatiot...
Each rectangle represents a layer in the network. Where appropriate the layer type is abbreviated (i...
The TCN module can be replaced with CNN model. The LSTM module can be replaced with RNN or GRU to ve...
Comparison of out-of-sample results for stock chart images and stock time series data using the feat...
The details of the network with hyperparameters of the LSTM and competing deep learning models.</p
The architecture has three blocks: a convolutional block (CNN), a recursive block (LSTM), and a fina...
Long Short-Term Memory (LSTM) is a type of Recurrent Neural Network (RNN) that is designed to handle...
The prediction model framework of real estate index and stock trend based on CNN-LSTM algorithm opti...
<p>The architectures of the 3D single view CNN (SV-CNN) (top) and 3D MV-CNN (bottom).</p
Comparison of out-of-sample results for fusion chart images using the SC-CNN model.</p
The model mainly consists of the attention-based individual network and the attention-based LSTM sub...
Descriptive one-sample t test results of the CNN, LSTM, and proposed CNN-LSTM algorithms.</p
Construction of the SC-CNN model using residual learning and the bottleneck method.</p
Forecasting stock prices plays an important role in setting a trading strategy or determining the ap...
SFE represents shallow feature extractor. MFFM denotes the proposed multi-level feature fusion modul...
Long short-term memory (LSTM) is a robust recurrent neural network architecture for learning spatiot...
Each rectangle represents a layer in the network. Where appropriate the layer type is abbreviated (i...
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