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Found 2 papers, 1 papers with code
Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors
Human activity recognition (HAR) has become a popular topic in research because of its wide application.
Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction
In the hit-or-miss classification experiment, the proposed model outperformed other models in terms of the convergence speed and accuracy.
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