中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共7条,第1-7条 帮助

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Spatiotemporal estimation of satellite-borne and ground-level NO2 using full residual deep networks 期刊论文  OAI收割
REMOTE SENSING OF ENVIRONMENT, 2021, 卷号: 254, 页码: 22
作者:  
Li, Lianfa;  Wu, Jiajie
  |  收藏  |  浏览/下载:46/0  |  提交时间:2021/03/15
Spatiotemporal estimation of satellite-borne and ground-level NO2 using full residual deep networks 期刊论文  OAI收割
REMOTE SENSING OF ENVIRONMENT, 2021, 卷号: 254, 页码: 22
作者:  
Li, Lianfa;  Wu, Jiajie
  |  收藏  |  浏览/下载:7/0  |  提交时间:2021/03/15
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 4, 页码: 1624-1630
作者:  
Chen, Yuanyuan;  Lv, Yisheng;  Wang, Fei-Yue
  |  收藏  |  浏览/下载:21/0  |  提交时间:2020/06/02
A lightweight ensemble spatiotemporal interpolation model for geospatial data 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2020, 页码: 24
作者:  
Cheng, Shifen;  Peng, Peng;  Lu, Feng
  |  收藏  |  浏览/下载:84/0  |  提交时间:2020/05/19
A lightweight ensemble spatiotemporal interpolation model for geospatial data 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2020, 页码: 24
作者:  
Cheng, Shifen;  Peng, Peng;  Lu, Feng
  |  收藏  |  浏览/下载:4/0  |  提交时间:2020/05/19
An efficient realization of deep learning for traffic data imputation 期刊论文  OAI收割
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2016, 卷号: 72, 页码: 168-181
作者:  
Duan, Yanjie
收藏  |  浏览/下载:98/0  |  提交时间:2017/02/14
A deep learning based approach for traffic data imputation 会议论文  OAI收割
Intelligent Transportation Systems (ITSC), 2014 IEEE 18th International Conference on, 2014
作者:  
Yisheng Lv;  Yanjie Duan;  Yifei Zhao
收藏  |  浏览/下载:56/0  |  提交时间:2015/08/19