Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, ChangChun 130012, China ...

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Despite the success of deep learning methods in a wide range of artificial intelligence tasks, time-varying dense prediction is still a less explored domain. Here, we proposed a general ...

based on self-supervised contrastive learning. It follows a sequence-to-sequence architecture with attention mechanism to address the traffic data imputation problem. Specifically, the model consists ...

We systematically evaluated mainstream AI models and proposed EC-HAENet, a hybrid-architecture ensembled deep learning model. In this study, we hope to demonstrate that the deep learning model could ...