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 [6]
自动化研究所 [3]
地质与地球物理研究所 [1]
计算技术研究所 [1]
长春光学精密机械与物... [1]
数学与系统科学研究院 [1]
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OAI收割 [16]
内容类型
期刊论文 [16]
发表日期
2024 [4]
2023 [2]
2022 [2]
2019 [2]
2018 [2]
2017 [1]
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学科主题
编辑出版 [1]
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浏览/检索结果:
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Modelling Soil Ammonium Nitrogen, Nitrate Nitrogen and Available Phosphorus Using Normalized Difference Vegetation Index and Climate Data in Xizang's Grasslands
期刊论文
OAI收割
SUSTAINABILITY, 2024, 卷号: 16, 期号: 11, 页码: 4695
作者:
Sun, Wei
;
Qi, Huxiao
;
Li, Tianyu
;
Qin, Yong
;
Fu, Gang
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/07/12
big data mining
random forest
global change
Tibetan Plateau
alpine region
Tibet
Graph Structure Aware Contrastive Multi-View Clustering
期刊论文
OAI收割
IEEE TRANSACTIONS ON BIG DATA, 2024, 卷号: 10, 期号: 3, 页码: 260-274
作者:
Chen, Rui
;
Tang, Yongqiang
;
Cai, Xiangrui
;
Yuan, Xiaojie
;
Feng, Wenlong
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2024/07/04
Correlation
Semantics
Big Data
Representation learning
Data models
Data mining
Analytical models
Contrastive learning
deep representation
graph embedding
multi-view clustering
Can normalized difference vegetation index and climate data be used to estimate soil carbon, nitrogen, and phosphorus and their ratios in the Xizang grasslands?
期刊论文
OAI收割
FRONTIERS IN EARTH SCIENCE, 2024, 卷号: 11, 页码: 1340020
作者:
Wang, Shaohua
;
Qi, Huxiao
;
Li, Tianyu
;
Qin, Yong
;
Fu, Gang
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2024/03/11
big data mining
random forest
global change
Tibetan plateau
alpine region
A method combining LDA and neural networks for antitumor drug efficacy prediction
期刊论文
OAI收割
DIGITAL HEALTH, 2024, 卷号: 10
作者:
Zhu, Weiwei
;
Zhang, Lei
;
Jiang, Xiaodong
;
Zhou, Peng
;
Xie, Xinping
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/11/20
Drug efficacy prediction
text mining
LDA model
neural network
clinical big data
Deciphering China's Socio-Economic Disparities: A Comprehensive Study Using Nighttime Light Data
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 18, 页码: 4581
作者:
Chen, Tianyu
;
Zhou, Yuke
;
Zou, Dan
;
Wu, Jingtao
;
Chen, Yang
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2023/11/06
nighttime light data
socio-economic disparities
Hu Huanyong line
spatial autocorrelation
vegetation index
urbanization
big data mining
Deciphering China's Socio-Economic Disparities: A Comprehensive Study Using Nighttime Light Data
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 18, 页码: 21
作者:
Chen, Tianyu
;
Zhou, Yuke
;
Zou, Dan
;
Wu, Jingtao
;
Chen, Yang
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2023/10/30
nighttime light data
socio-economic disparities
Hu Huanyong line
spatial autocorrelation
vegetation index
urbanization
big data mining
Spatio-temporal evolution and influencing factors of geopolitical relations among Arctic countries based on news big data
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2022, 卷号: 32, 期号: 10, 页码: 2036-2052
作者:
Li Meng
;
Yuan Wen
;
Yuan Wu
;
Niu Fangqu
;
Li Hanqin
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/11/09
Arctic
geographical relationship
spatiotemporal data mining
topic model
interactive network
big data
Spatio-temporal evolution and influencing factors of geopolitical relations among Arctic countries based on news big data
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2022, 卷号: 32, 期号: 10, 页码: 2036-2052
作者:
Li Meng
;
Yuan Wen
;
Yuan Wu
;
Niu Fangqu
;
Li Hanqin
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/11/09
Arctic
geographical relationship
spatiotemporal data mining
topic model
interactive network
big data
A survey on big data-driven digital phenotyping of mental health
期刊论文
OAI收割
INFORMATION FUSION, 2019, 卷号: 52, 页码: 290-307
作者:
Liang, Yunji
;
Zheng, Xiaolong
;
Zeng, Daniel D.
  |  
收藏
  |  
浏览/下载:73/0
  |  
提交时间:2019/12/16
Digital phenotyping
Big data
Mental health
Data mining
Information fusion
Big Data Analytics and Mining for Effective Visualization and Trends Forecasting of Crime Data
期刊论文
OAI收割
Ieee Access, 2019, 卷号: 7, 页码: 106111-106123
作者:
M.C.Feng
;
J.B.Zheng
;
J.C.Ren
;
A.Hussain
;
X.X.Li
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2020/08/24
Big data analytics (BDA),data mining,data visualization,neural,network,time series forecasting,saliency detection