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TS-STNN: Spatial-temporal neural network based on tree structure for traffic flow prediction 期刊论文
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2023, 卷号: 177, 页码: 16
作者:  Lv, Yang;  Lv, Zhiqiang;  Cheng, Zesheng;  Zhu, Zhanqi;  Rashidi, Taha Hossein
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Research on Multi-Port Ship Traffic Prediction Method Based on Spatiotemporal Graph Neural Networks 期刊论文
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 卷号: 11, 期号: 7, 页码: 18
作者:  Li, Yong;  Li, Zhaoxuan;  Mei, Qiang;  Wang, Peng;  Hu, Wenlong;  Wang, Zhishan;  Xie, Wenxin;  Yang, Yang;  Chen, Yuhaoran
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
spatiotemporal graph neural network  traffic flow prediction  ship big data  AIS  port traffic prediction  
Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 卷号: 34, 期号: 2, 页码: 640-652
作者:  Gu, Jingjing;  Zhou, Qiang;  Yang, Jingyuan;  Liu, Yanchi;  Zhuang, Fuzhen;  Zhao, Yanchao;  Xiong, Hui
收藏  |  浏览/下载：22/0  |  提交时间：2022/12/07
Sparse matrices  Urban areas  Satellite broadcasting  Redundancy  Predictive models  Data models  Matrix converters  Dockless bike sharing system  pattern exploitation  interpretable base matrices  flow prediction  
Augmented Multi-Component Recurrent Graph Convolutional Network for Traffic Flow Forecasting 期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 卷号: 11, 期号: 2, 页码: 17
作者:  Zhang, Chi;  Zhou, Hong-Yu;  Qiu, Qiang;  Jian, Zhichun;  Zhu, Daoye;  Cheng, Chengqi;  He, Liesong;  Liu, Guoping;  Wen, Xiang;  Hu, Runbo
收藏  |  浏览/下载：21/0  |  提交时间：2022/12/07
traffic flow forecasting  spatial-temporal prediction  graph convolutional networks  augmented multi-component  
Multicomponent Spatial-Temporal Graph Attention Convolution Networks for Traffic Prediction with Spatially Sparse Data 期刊论文
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2021, 卷号: 2021, 页码: 12
作者:  Liu, Shaohua;  Dai, Shijun;  Sun, Jingkai;  Mao, Tianlu;  Zhao, Junsuo;  Zhang, Heng
收藏  |  浏览/下载：20/0  |  提交时间：2022/12/07
ADST: Forecasting Metro Flow Using Attention-Based Deep Spatial-Temporal Networks with Multi-Task Learning 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 16, 页码: 23
作者:  Jia, Hongwei;  Luo, Haiyong;  Wang, Hao;  Zhao, Fang;  Ke, Qixue;  Wu, Mingyao;  Zhao, Yunyun
收藏  |  浏览/下载：51/0  |  提交时间：2020/12/10
forecasting passenger flow  spatiotemporal networks  multi-task learning  attention mechanism  spatiotemporal dependency  
Traffic Speed Prediction Under Non-Recurrent Congestion: Based on LSTM Method and BeiDou Navigation Satellite System Data 期刊论文
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2019, 卷号: 11, 期号: 2, 页码: 70-81
作者:  Zhao, Jiandong;  Gao, Yuan;  Bai, Zhiming;  Lu, Shuhan;  Wang, Hao
收藏  |  浏览/下载：73/0  |  提交时间：2019/08/16
MPVUS: A Moving Prediction Based Video Streaming Uploading Scheme over Vehicular Networks 期刊论文
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2015, 卷号: E98A, 期号: 1, 页码: 304-312
作者:  Zhu, Xiaojin;  Bi, Jingping;  Liu, Jianhang
收藏  |  浏览/下载：43/0  |  提交时间：2019/12/13
vehicular ad hoc networks  video uploading  moving prediction  routing  
Adaptive rate control for H.264 期刊论文
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2006, 卷号: 17, 期号: 2, 页码: 376-406
作者:  Li, Z. G.;  Gao, W.;  Pan, F.;  Ma, S. W.;  Lim, K. P.;  Feng, G. N.;  Lin, X.;  Rahardja, S.;  Lu, H. Q.;  Lu, Y.
收藏  |  浏览/下载：41/0  |  提交时间：2019/12/16
H.264  rate control  adaptive  basic unit