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AutoMSNet: Multi-Source Spatio-Temporal Network via Automatic Neural Architecture Search for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 15
作者:  Fang, Shen;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：154/0  |  提交时间：2023/02/22
Deep learning  neural architecture search  graph convolution  meta-learning  traffic flow prediction  
ESTNet: Embedded Spatial-Temporal Network for Modeling Traffic Flow Dynamics 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Luo, Guiyang;  Zhang, Hui;  Yuan, Quan;  Li, Jinglin;  Wang, Fei-Yue
收藏  |  浏览/下载：200/0  |  提交时间：2022/07/25
Roads  Correlation  Feature extraction  Sensors  Deep learning  Convolution  Sensor phenomena and characterization  Traffic forecasting  graph convolutional network  spatial-temporal networks  
MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 7, 页码: 14
作者:  Fang, Shen;  Prinet, Veronique;  Chang, Jianlong;  Werman, Michael;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：235/0  |  提交时间：2022/01/27
Feature extraction  Convolution  Predictive models  Data models  Correlation  Roads  Kernel  Graph convolution  deep attention mechanism  traffic network  traffic flow prediction  artificial intelligence  deep learning  
Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point Clouds 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 13
作者:  Tian, Yonglin;  Huang, Lichao;  Yu, Hui;  Wu, Xiangbin;  Li, Xuesong;  Wang, Kunfeng;  Wang, Zilei;  Wang, Fei-Yue
收藏  |  浏览/下载：208/0  |  提交时间：2022/01/27
Three-dimensional displays  Feature extraction  Convolution  Proposals  Kernel  Laser radar  Semantics  Point clouds  3D detection  dynamic network  context features