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湖南大学 [6]
北京航空航天大学 [3]
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理论物理研究所 [3]
武汉大学 [3]
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期刊论文 [37]
发表日期
2019 [37]
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Separating the effects of climate change and human activity on water use efficiency over the Beijing-Tianjin Sand Source Region of China
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 卷号: 690, 页码: 584-595
作者:
Guo, Limai
;
Shan, Nan
;
Zhang, Yongguang
;
Sun, Fubao
;
Liu, Wenbin
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/03/23
Water use efficiency
Relative contribution
Climate change
Human activity
Deep sparse representation-based mid-level visual elements discovery in fine-grained classification
期刊论文
SOFT COMPUTING, 2019, 卷号: 23, 期号: 18, 页码: 8711-8722
作者:
Lv, Le
;
Zhao, Dongbin
;
Shao, Kun
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  |  
浏览/下载:56/0
  |  
提交时间:2019/12/16
Mid-level visual elements discovery
Fine-grained classification
Winner-take-all autoencoder
Bipartite graph spectral partitioning
Improving the Virtual Screening Ability of Target-Specific Scoring Functions Using Deep Learning Methods
期刊论文
FRONTIERS IN PHARMACOLOGY, 2019, 卷号: 10, 页码: 11
作者:
Wang, Dingyan
;
Cui, Chen
;
Ding, Xiaoyu
;
Xiong, Zhaoping
;
Zheng, Mingyue
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  |  
浏览/下载:57/0
  |  
提交时间:2020/07/01
virtual screening
target-specific scoring function
deep learning
drug discovery
DUD-E
The Role of Satellite-Based Remote Sensing in Improving Simulated Streamflow: A Review
期刊论文
WATER, 2019, 卷号: 11, 期号: 8, 页码: 1615
作者:
Jiang, DJ
;
Wang, K
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  |  
浏览/下载:46/0
  |  
提交时间:2020/07/08
satellite-based remote sensing
streamflow simulation
hydrological model
data assimilation
Cluster-based bagging of constrained mixed-effects models for high spatiotemporal resolution nitrogen oxides prediction over large regions
期刊论文
ENVIRONMENT INTERNATIONAL, 2019, 卷号: 128, 页码: 310-323
作者:
Li, Lianfa
;
Girguis, Mariam
;
Lurmann, Frederick
;
Wu, Jun
;
Urman, Robert
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  |  
浏览/下载:60/0
  |  
提交时间:2019/09/24
Air pollution
Nitrogen oxides
Spatiotemporal variability
Generalization
Machine learning
Cluster methods
Stacked ensemble extreme learning machine coupled with Partial Least Squares-based weighting strategy for nonlinear multivariate calibration
期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2019, 卷号: 215, 页码: 97-111
作者:
Shan, Peng
;
Zhao, Yuhui
;
Wang, Qiaoyun
;
Sha, Xiaopeng
;
Lv, Xiaoyong
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  |  
浏览/下载:61/0
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提交时间:2019/12/16
Extreme learning machine (ELM)
Partial least squares (PLS)
Nonlinear multivariate calibration
Stacked generalization
Exploring the value of machine learning for weighted multi-model combination of an ensemble of global hydrological models
期刊论文
ENVIRONMENTAL MODELLING & SOFTWARE, 2019, 卷号: 114, 页码: 112-128
作者:
Zaherpour, Jamal
;
Mount, Nick
;
Gosling, Simon N.
;
Dankers, Rutger
;
Eisner, Stephanie
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  |  
浏览/下载:35/0
  |  
提交时间:2019/05/22
Machine learning
Model weighting
Gene expression programming
Global hydrological models
Optimisation
Modelling fish communities in relation to water quality in the impounded lakes of China's South-to-North Water Diversion Project
期刊论文
ECOLOGICAL MODELLING, 2019, 卷号: 397, 期号: 1, 页码: 25-35
作者:
Guo, Chuanbo
;
Chen, Yushun
;
Liu, Han
;
Lu, Yin
;
Qu, Xiao
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  |  
浏览/下载:72/0
  |  
提交时间:2019/08/01
Ensemble modelling
Fish communities
Ecological impacts
Machine learning
South-to-North Water Diversion Project
Water quality changes
Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems
期刊论文
JOURNAL OF HYDROLOGY, 2019, 卷号: 570, 页码: 167-184
作者:
Wen, Xiaohu
;
Feng, Qi
;
Deo, Ravinesh C.
;
Wu, Min
;
Yin, Zhenliang
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  |  
浏览/下载:83/0
  |  
提交时间:2019/10/08
Expert system
Runoff
Integrated model
Complete ensemble empirical mode decomposition adaptive noise (CEEMDAN)
Variational mode decomposition (VMD)
Extreme learning machine (ELM)
A Fast Indoor/Outdoor Transition Detection Algorithm Based on Machine Learning
期刊论文
SENSORS, 2019, 卷号: 19, 期号: 4, 页码: 23
作者:
Luo, Haiyong
;
Zhu, Yida
;
Zhang, Chen
;
Ke, Qixue
;
Ning, Bokun
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  |  
浏览/下载:65/0
  |  
提交时间:2019/08/16
machine learning
quickly switching
GNSS measurements
indoor
outdoor detection
seamless indoor and outdoor navigation and positioning
smartphone
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