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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)A traffic pattern detection algorithm based on multimodal sensing., , , , and . IJDSN, (2018)NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks Based Transportation Mode Recognition., , , , and . IEEE Trans. Veh. Technol., 70 (3): 2138-2152 (2021)DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting., , , , and . CoRR, (2021)STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting., , , , and . CoRR, (2021)