中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [7]
武汉物理与数学研究所 [2]
西双版纳热带植物园 [1]
上海药物研究所 [1]
昆明植物研究所 [1]
青岛生物能源与过程研... [1]
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采集方式
OAI收割 [16]
内容类型
期刊论文 [16]
发表日期
2024 [4]
2021 [2]
2020 [2]
2019 [2]
2018 [1]
2017 [1]
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Ecology [1]
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浏览/检索结果:
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An unmanned aerial system benchmark object detection dataset for deep learning in outfall surveys
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 2390443
作者:
Wu, Chengbin
;
Huang, Yaohuan
;
Yang, Haijun
;
Yao, Ling
;
Liu, Yesen
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/09/19
Deep learning
object detection dataset
outfalls
UAS imagery
computer vision
Progress and Outlook of Carbon-supported Single-atom Electrocatalyst for Oxygen Reduction Reaction
期刊论文
OAI收割
CHEMICAL RESEARCH IN CHINESE UNIVERSITIES, 2024, 页码: 13
作者:
Wang, Chengbin
;
Li, Ping
;
Chen, Dehong
;
Zhang, Ruiyong
;
Wang, Lei
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/08/29
Single-atom catalyst
Synthetic strategy
Carbon support
Oxygen reduction reaction
An Annual “Urban Core-Suburban-Rural” Triad Structure Dataset for China From 1992 to 2021
期刊论文
OAI收割
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 2037-2051
作者:
Xiong, Biao
;
Huang, Yaohuan
;
Chen, Mingxing
;
Wu, Chengbin
;
Ren, Hongyan
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2024/02/05
Urban areas
Carbon dioxide
Remote sensing
Equator
Statistics
Spatial resolution
Sociology
China
dataset
nighttime light (NTL)
urban core-suburban-rural (USR)
urbanization
Geographical features and development models of estuarine cities
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2024, 卷号: 34, 期号: 1, 页码: 25-40
作者:
Chen, Mingxing
;
Xian, Yue
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2024/02/05
estuarine cities
great rivers
development models
sustainability
physical geography
socioeconomy
An Improved Deep Learning Approach for Retrieving Outfalls Into Rivers From UAS Imagery
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 页码: 14
作者:
Huang, Yaohuan
;
Wu, Chengbin
;
Yang, Haijun
;
Zhu, Haitao
;
Chen, Mingxing
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/09/21
Rivers
Visualization
Remote sensing
Manuals
Inspection
Water resources
Task analysis
Deep learning
digital surface model (DSM)
faster region convolutional neural network (R-CNN)
outfalls into river
unmanned aircraft systems (UAS) imagery
An Improved Deep Learning Approach for Retrieving Outfalls Into Rivers From UAS Imagery
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 页码: 14
作者:
Huang, Yaohuan
;
Wu, Chengbin
;
Yang, Haijun
;
Zhu, Haitao
;
Chen, Mingxing
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/09/21
Rivers
Visualization
Remote sensing
Manuals
Inspection
Water resources
Task analysis
Deep learning
digital surface model (DSM)
faster region convolutional neural network (R-CNN)
outfalls into river
unmanned aircraft systems (UAS) imagery
A Quantile Approach for Retrieving the "Core Urban-Suburban-Rural" (USR) Structure Based on Nighttime Light
期刊论文
OAI收割
REMOTE SENSING, 2020, 卷号: 12, 期号: 24, 页码: 16
作者:
Huang, Yaohuan
;
Wu, Chengbin
;
Chen, Mingxing
;
Yang, Jie
;
Ren, Hongyan
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/03/15
nighttime lights (NTL)
quantile approach
subcategories
core urban-suburban-rural (USR)
A Quantile Approach for Retrieving the "Core Urban-Suburban-Rural" (USR) Structure Based on Nighttime Light
期刊论文
OAI收割
REMOTE SENSING, 2020, 卷号: 12, 期号: 24, 页码: 16
作者:
Huang, Yaohuan
;
Wu, Chengbin
;
Chen, Mingxing
;
Yang, Jie
;
Ren, Hongyan
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2021/03/15
nighttime lights (NTL)
quantile approach
subcategories
core urban-suburban-rural (USR)
A low-energy compact Shanghai-Wuhan electron beam ion trap for extraction of highly charged ions
期刊论文
OAI收割
REVIEW OF SCIENTIFIC INSTRUMENTS, 2019, 卷号: 90, 期号: 9, 页码: 7
作者:
Liang, Shiyong
;
Lu, Qifeng
;
Wang, Xincheng
;
Yang, Yang
;
Yao, Ke
  |  
收藏
  |  
浏览/下载:95/0
  |  
提交时间:2020/01/14
Discovery of a novel third generation EGFR TKI and identification of its potential mechanism of resistance
期刊论文
OAI收割
CANCER RESEARCH, 2019, 卷号: 79, 期号: 13, 页码: 2
作者:
Zhang, Tao
;
Qu, Rong
;
Chen, Chengbin
;
Tong, Linjiang
;
Feng, Fang
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/07/01