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Deep Learning
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A novel passenger flow prediction model using deep learning methods
Highway crash detection and risk estimation using deep learning
An efficient realization of deep learning for traffic data imputation
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks
A novel method for predicting and mapping the occurrence of sun glare using Google Street View
A deep learning approach for real-time crash prediction using vehicle-by-vehicle data
Applications of deep learning in congestion detection, prediction and alleviation: A survey
Modeling train operation as sequences: A study of delay prediction with operation and weather data
DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending
Imbalanced satellite telemetry data anomaly detection model based on Bayesian LSTM
Applying deep learning models to twitter data to detect airport service quality
An effective spatial-temporal attention based neural network for traffic flow prediction
Recurrent and convolutional neural networks for deep terrain classification by autonomous robots