机构

• 地理科学与资源研究所 [4]

采集方式

• OAI收割 [4]

内容类型

• 期刊论文 [4]

发表日期

• 2021 [4]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4217-4230 作者:  Li, Lianfa;  Fang, Ying;  Wu, Jun;  Wang, Jinfeng;  Ge, Yong   |  收藏  |  浏览/下载：74/0  |  提交时间：2021/11/05 Bias  deep learning  encoder-decoder  full residual deep network  non-linear regression  prediction of satellite aerosol optical depth (AOD) and PM2.5  spatiotemporal modeling   Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4217-4230 作者:  Li, Lianfa;  Fang, Ying;  Wu, Jun;  Wang, Jinfeng;  Ge, Yong   |  收藏  |  浏览/下载：21/0  |  提交时间：2021/11/05 Bias  deep learning  encoder-decoder  full residual deep network  non-linear regression  prediction of satellite aerosol optical depth (AOD) and PM2.5  spatiotemporal modeling   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：61/0  |  提交时间：2021/03/15 OMI-NO2 columns  Imputation of missing values  Full residual deep network  Bagging  Ground-level NO2 estimation  Traffic and land-use variables  Uncertainty   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：18/0  |  提交时间：2021/03/15 OMI-NO2 columns  Imputation of missing values  Full residual deep network  Bagging  Ground-level NO2 estimation  Traffic and land-use variables  Uncertainty