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地理科学与资源研究... [18]
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期刊论文 [10]
SCI/SSCI论文 [6]
EI期刊论文 [2]
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2019 [2]
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专题:地理科学与资源研究所
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A self-training semi-supervised machine learning method for predictive mapping of soil classes with limited sample data
期刊论文
GEODERMA, 2021, 卷号: 384, 页码: 10
作者:
Zhang, Lei
;
Yang, Lin
;
Ma, Tianwu
;
Shen, Feixue
;
Cai, Yanyan
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2021/03/15
Digital soil sampling
Machine learning
Semi-supervised learning
Self-training
Predictive mapping
A PM2.5 concentration prediction model based on multi-task deep learning for intensive air quality monitoring stations
期刊论文
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:20/0
  |  
提交时间:2021/03/16
PM(2.5)prediction
Multi-task deep learning
Artificial intelligence
Intensive monitoring stations
Lanzhou city
Multi-task and multi-view learning based on particle swarm optimization for short-term traffic forecasting
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2019, 卷号: 180, 页码: 116-132
作者:
Cheng, Shifen
;
Lu, Feng
;
Peng, Peng
;
Wu, Sheng
收藏
  |  
浏览/下载:106/0
  |  
提交时间:2019/09/24
Multi-view learning
Multi-task learning
Particle swarm optimization
Spatiotemporal dependency
Spatiotemporal heterogeneity
Task relationship learning
Aboveground Biomass Allocation and Additive Allometric Models for Natural Larix gmelinii in the Western Daxing'anling Mountains, Northeastern China
期刊论文
FORESTS, 2019, 卷号: 10, 期号: 2, 页码: 16
作者:
Meng, Shengwang
;
Jia, Quanquan
;
Liu, Qijing
;
Zhou, Guang
;
Wang, Huimin
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2019/05/22
additive allometric equations
aboveground biomass
biomass allocation
Larix gmelinii
Spatiotemporal patterns of PM10 concentrations over China during 2005-2016: A satellite-based estimation using the random forests approach
期刊论文
ENVIRONMENTAL POLLUTION, 2018, 卷号: 242, 页码: 605-613
作者:
Chen, Gongbo
;
Wang, Yichao
;
Li, Shanshan
;
Cao, Wei
;
Ren, Hongyan
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2019/05/23
PM10
AOD
Random forests
China
A machine learning method to estimate PM2.5 concentrations across China with remote sensing, meteorological and land use information
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 636, 页码: 52-60
作者:
Chen, Gongbo
;
Li, Shanshan
;
Knibbs, Luke D.
;
Hamm, N. A. S.
;
Cao, Wei
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2019/05/23
PM2.5
Aerosol optical depth
Random forests
Machine learning
China
Short-term traffic forecasting: An adaptive ST-KNN model that considers spatial heterogeneity
期刊论文
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2018, 卷号: 71, 页码: 186-198
作者:
Cheng, Shifen
;
Lu, Feng
;
Peng, Peng
;
Wu, Sheng
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2019/05/23
Short-term traffic forecasting
Adaptive spatiotemporal k-nearest neighbor model
Spatial heterogeneity
Traffic patterns
Estimating spatiotemporal distribution of PM1 concentrations in China with satellite remote sensing, meteorology, and land use information
期刊论文
ENVIRONMENTAL POLLUTION, 2018, 卷号: 233, 页码: 1086-1094
作者:
Chen, Gongbo
;
Knibbs, Luke D.
;
Zhang, Wenyi
;
Li, Shanshan
;
Cao, Wei
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2019/05/30
PM1
Aerosol optical depth
Meteorology
Land use
China
Soil Moisture Drought Monitoring and Forecasting Using Satellite and Climate Model Data over Southwestern China
期刊论文
JOURNAL OF HYDROMETEOROLOGY, 2017, 卷号: 18, 期号: 1, 页码: 5-23
作者:
Zhang, Xuejun
;
Tang, Qiuhong
;
Liu, Xingcai
;
Leng, Guoyong
;
Li, Zhe
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/09/25
Interannual variability of ecosystem carbon exchange: From observation to prediction
期刊论文
GLOBAL ECOLOGY AND BIOGEOGRAPHY, 2017, 卷号: 26, 期号: 11, 页码: 1225-1237
作者:
Niu, SL
;
Fu, Z
;
Luo, YQ
;
Stoy, PC
;
Keenan, TF
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2018/04/14
climate change
interannual variability
net ecosystem exchange
photosynthesis
respiration
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