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Temporal-Spatial Feature Extraction Based on Convolutional Neural Networks for Travel Time Prediction
Therefore, this study proposes a travel time prediction method based on convolutional neural networks to extract important factors for the improvement of traffic information prediction.
ExpDNN: Explainable Deep Neural Network
Therefore, an explainable deep neural network (ExpDNN) with explainable layers is proposed to obtain explainable results in the case of input interaction.
An Exercise Fatigue Detection Model Based on Machine Learning Methods
This study proposes an exercise fatigue detection model based on real-time clinical data which includes time domain analysis, frequency domain analysis, detrended fluctuation analysis, approximate entropy, and sample entropy.
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