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An abnormal driving behavior recognition algorithm based on the temporal convolutional network and soft thresholding., , , , , and . Int. J. Intell. Syst., 37 (9): 6244-6261 (2022)Spatio-temporal hierarchical MLP network for traffic forecasting., , , , , and . Inf. Sci., (2023)Combining Residual and LSTM Recurrent Networks for Transportation Mode Detection Using Multimodal Sensors Integrated in Smartphones., , , and . IEEE Trans. Intell. Transp. Syst., 22 (9): 5473-5485 (2021)Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning., , , , , and . CoRR, (2022)A Hybrid Approach for Driving Behavior Recognition: Integration of CNN and Transformer-Encoder with EEG data., , , , and . VTC Fall, page 1-5. IEEE, (2023)Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network., , , , and . SIGIR, page 2612-2616. ACM, (2022)Transportation Mode Recognition Algorithm Based on Bayesian Voting., , , , and . ES, page 260-269. IEEE, (2017)CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting., , , , , , and . CoRR, (2021)Electroencephalogram-Based Driver Emotional State Detection with Manifold Learning., , , and . ITSC, page 3329-3334. IEEE, (2023)A traffic pattern detection algorithm based on multimodal sensing., , , , and . IJDSN, (2018)