中国科学院计算技术研究所机构知识库

浏览/检索结果: 共5条，第1-5条

帮助

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序WOS被引频次升序WOS被引频次降序题名升序题名降序
	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
	Multi-featured spatial-temporal and dynamic multi-graph convolutional network for metro passenger flow prediction 期刊论文 CONNECTION SCIENCE, 2022, 卷号: 34, 期号: 1, 页码: 1252-1272 作者:  Zhao, Chuan;  Li, Xin;  Shao, Zezhi;  Yang, HongJi;  Wang, Fei 收藏  |  浏览/下载：32/0  |  提交时间：2022/12/07 Metro passenger flow prediction  deep learning  multi-featured spatial-temporal tensor  dynamic multi-graph neural network
	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
	Saliency Prediction Network for 360 degrees Videos 期刊论文 IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 1, 页码: 27-37 作者:  Zhang, Youqiang;  Dai, Feng;  Ma, Yike;  Li, Hongliang;  Zhao, Qiang;  Zhang, Yongdong 收藏  |  浏览/下载：40/0  |  提交时间：2020/12/10 Saliency prediction  360 degrees videos  cube map  optical flow  global feature  Gaussian priors  residual attention