An End-to-End Convolutional Recurrent Neural Network with Multi-Source Data Fusion for Sleep Stage Classification.
Tabassum Islam TomaSunwoong ChoiPublished in: ICAIIC (2023)
Keyphrases
- data fusion
- multi source
- end to end
- sleep stage
- recurrent neural networks
- information fusion
- multi sensor
- multi sensor data fusion
- text localization and recognition
- fusion process
- fusion method
- sleep apnea
- neural network
- congestion control
- feed forward
- fusion methods
- rbf neural network
- data integration
- multiple sensors
- artificial neural networks
- recurrent networks
- artificial intelligence
- hidden layer
- multiscale
- machine learning
- data sets