机构

• 地理科学与资源研究... [22]

采集方式

• OAI收割 [22]

内容类型

• 期刊论文 [22]

发表日期

• 2020 [22]

学科主题

筛选

浏览/检索结果: 共22条，第1-10条 帮助 限定条件 发表日期：2020    专题：地理科学与资源研究所    第一署名单位    第一作者单位    通讯作者单位     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序题名升序题名降序作者升序作者降序发表日期升序发表日期降序 A PM2.5 concentration prediction model based on multi-task deep learning for intensive air quality monitoring stations 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 275, 页码: 13 作者:  Zhang, Qiang;  Wu, Shun;  Wang, Xiangwen;  Sun, Binzhen;  Liu, Haimeng   |  收藏  |  浏览/下载：28/0  |  提交时间：2021/03/16 PM(2.5)prediction  Multi-task deep learning  Artificial intelligence  Intensive monitoring stations  Lanzhou city   Position paper: Sensitivity analysis of spatially distributed environmental models- a pragmatic framework for the exploration of uncertainty sources 期刊论文  OAI收割 ENVIRONMENTAL MODELLING & SOFTWARE, 2020, 卷号: 134, 页码: 14 作者:  Koo, Hyeongmo;  Iwanaga, Takuya;  Croke, Barry Fw;  Jakeman, Anthony J.;  Yang, Jing   |  收藏  |  浏览/下载：21/0  |  提交时间：2021/03/16 Sensitivity analysis  Spatially distributed environmental model  Uncertainty  SWAT  Environmental modeling   A PM2.5 concentration prediction model based on multi-task deep learning for intensive air quality monitoring stations 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 275, 页码: 13 作者:  Zhang, Qiang;  Wu, Shun;  Wang, Xiangwen;  Sun, Binzhen;  Liu, Haimeng   |  收藏  |  浏览/下载：9/0  |  提交时间：2021/03/16 PM(2.5)prediction  Multi-task deep learning  Artificial intelligence  Intensive monitoring stations  Lanzhou city   Reservoir risk modelling using a hybrid approach based on the feature selection technique and ensemble methods 期刊论文  OAI收割 GEOCARTO INTERNATIONAL, 2020, 页码: 25 作者:  Xiong, Junnan;  Pang, Quan;  Cheng, Weiming;  Wang, Nan;  Yong, Zhiwei   |  收藏  |  浏览/下载：27/0  |  提交时间：2021/03/15 Flash flood  reservoir risk  J48 Decision Tree  genetic algorithm  Bagging  random forest  China   Reservoir risk modelling using a hybrid approach based on the feature selection technique and ensemble methods 期刊论文  OAI收割 GEOCARTO INTERNATIONAL, 2020, 页码: 25 作者:  Xiong, Junnan;  Pang, Quan;  Cheng, Weiming;  Wang, Nan;  Yong, Zhiwei   |  收藏  |  浏览/下载：15/0  |  提交时间：2021/03/15 Flash flood  reservoir risk  J48 Decision Tree  genetic algorithm  Bagging  random forest  China   Quantifying livestock vulnerability to snow disasters in the Tibetan Plateau: Comparing different modeling techniques for prediction 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2020, 卷号: 48, 页码: 10 作者:  Ye, Tao;  Liu, Weihang;  Mu, Qingyang;  Zong, Shuo;  Li, Yijia   |  收藏  |  浏览/下载：30/0  |  提交时间：2021/03/18 Livestock snow disaster  Vulnerability  Generalized additive models  Random forest  Boosted regression trees   Sample size and spatial configuration of volunteered geographic information affect effectiveness of spatial bias mitigation 期刊论文  OAI收割 TRANSACTIONS IN GIS, 2020, 页码: 26 作者:  Zhang, Guiming;  Zhu, A-Xing   |  收藏  |  浏览/下载：2/0  |  提交时间：2021/03/18 A trustworthiness indicator to select sample points for the individual predictive soil mapping method (iPSM) 期刊论文  OAI收割 GEODERMA, 2020, 卷号: 373, 页码: 13 作者:  Liu, Jing;  Zhu, A-Xing;  Rossiter, David;  Du, Fei;  Burt, James   |  收藏  |  浏览/下载：10/0  |  提交时间：2021/03/23 Digital Soil Mapping  Sample reliability  Prediction trustworthiness  Prediction uncertainty  Third law of geography   A trustworthiness indicator to select sample points for the individual predictive soil mapping method (iPSM) 期刊论文  OAI收割 GEODERMA, 2020, 卷号: 373, 页码: 13 作者:  Liu, Jing;  Zhu, A-Xing;  Rossiter, David;  Du, Fei;  Burt, James   |  收藏  |  浏览/下载：5/0  |  提交时间：2021/03/23 Digital Soil Mapping  Sample reliability  Prediction trustworthiness  Prediction uncertainty  Third law of geography   Spatial Variation of Leaf Chlorophyll in Northern Hemisphere Grasslands 期刊论文  OAI收割 FRONTIERS IN PLANT SCIENCE, 2020, 卷号: 11, 页码: 14 作者:  Zhang, Yao;  Li, Ying;  Wang, Ruomeng;  Xu, Li;  Li, Mingxu   |  收藏  |  浏览/下载：16/0  |  提交时间：2021/03/18 allocation  chlorophyll  grassland  influencing factors  leaf nitrogen  spatial variation  trait distribution