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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
中国科学院大学 [37]
半导体研究所 [15]
寒区旱区环境与工程研... [8]
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武汉病毒研究所 [2]
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iSwitch采集 [71]
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期刊论文 [71]
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2019 [1]
2018 [5]
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High-resolution global contiguous sif of oco-2
期刊论文
iSwitch采集
Geophysical research letters, 2019, 卷号: 46, 期号: 3, 页码: 1449-1458
作者:
Yu, L.
;
Wen, J.
;
Chang, C. Y.
;
Frankenberg, C.
;
Sun, Y.
收藏
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浏览/下载:103/0
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提交时间:2019/05/09
Quantitative structure-retention relationships model for retention time prediction of veterinary drugs in food matrixes
期刊论文
iSwitch采集
International journal of mass spectrometry, 2018, 卷号: 434, 页码: 172-178
作者:
Noreldeen, Hamada A. A.
;
Liu, Xingyu
;
Wang, Xiaolin
;
Fu, Yanqing
;
Li, Zaifang
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  |  
浏览/下载:67/0
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提交时间:2019/05/08
Quantitative structure-retention relationships
Liquid chromatography-mass spectrometry
Illegal additives
Food matrixes
Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment
期刊论文
iSwitch采集
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2018, 卷号: 32, 期号: 9, 页码: 2457-2476
作者:
Yin, Zhenliang
;
Feng, Qi
;
Wen, Xiaohu
;
Deo, Ravinesh C.
;
Yang, Linshan
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2019/10/09
River flow forecasting
Support vector regression
Multivariate adaptive regression spline
M5Tree model
Data-driven model
Modeling habitat suitability of migratory birds from remote sensing images using convolutional neural networks
期刊论文
iSwitch采集
Animals, 2018, 卷号: 8, 期号: 5, 页码: 15
作者:
Su, Jin-He
;
Piao, Ying-Chao
;
Luo, Ze
;
Yan, Bao-Ping
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2019/05/09
1-d convolution
Bar-head goose
Convolutional neural network
Dbic
Habitat preference
Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia
期刊论文
iSwitch采集
ADVANCED ENGINEERING INFORMATICS, 2018, 卷号: 35, 页码: 1-16
作者:
Al-Musaylh, Mohanad S.
;
Deo, Ravinesh C.
;
Adarnowski, Jan F.
;
Li, Yan
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2019/10/09
Electricity demand forecasting
Machine learning
SVR
MARS
ARIMA
An adaptive synchronous parallel strategy for distributed machine learning
期刊论文
iSwitch采集
Ieee access, 2018, 卷号: 6, 页码: 19222-19230
作者:
Zhang, Jilin
;
Tu, Hangdi
;
Ren, Yongjian
;
Wan, Jian
;
Zhou, Li
收藏
  |  
浏览/下载:26/0
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提交时间:2019/05/09
Distributed machine learning
Adaptive synchronous parallel
Communication strategy
Parameter server
Hyperspectral Images Classification With Gabor Filtering and Convolutional Neural Network
期刊论文
iSwitch采集
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 12, 页码: 2355-2359
作者:
Chen, Yushi
;
Zhu, Lin
;
Ghamisi, Pedram
;
Jia, Xiuping
;
Li, Guoyu
收藏
  |  
浏览/下载:33/0
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提交时间:2019/10/09
Convolutional neural network (CNN)
deep learning
feature extraction (FE)
Gabor filtering
hyperspectral images (HSIs)
A parameter communication optimization strategy for distributed machine learning in sensors
期刊论文
iSwitch采集
Sensors, 2017, 卷号: 17, 期号: 10, 页码: 17
作者:
Zhang, Jilin
;
Tu, Hangdi
;
Ren, Yongjian
;
Wan, Jian
;
Zhou, Li
收藏
  |  
浏览/下载:34/0
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提交时间:2019/05/09
Disturbed machine learning
Sensors
Dynamic synchronous parallel strategy (dsp)
Parameter server (ps)
Discovery potential of higgs boson pair production through final states at a 100 tev collider**supported by natural science foundation of china (11175251, 11305179, 11675185, 11475180, 11575005) the work of q. li and q.s. yan is partially supported by cas center for excellence in particle physics (ccepp), x. zhao is partially supported by the european union as part of the fp7 marie curie initial training network mcnetitn (pitn-ga-2012-315877).
期刊论文
iSwitch采集
Chinese physics c, 2017, 卷号: 41, 期号: 2
作者:
Zhao,Xiaoran
;
Li,Qiang
;
Li,Zhao
;
Yan,Qi-Shu
收藏
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浏览/下载:77/0
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提交时间:2019/04/23
13.85.qk
14.80.bn
Higgs pair
Hadron collider
Leptonic mode
Structural nonparallel support vector machine for pattern recognition
期刊论文
iSwitch采集
Pattern recognition, 2016, 卷号: 60, 页码: 296-305
作者:
Chen, Dandan
;
Tian, Yingjie
;
Liu, Xiaohui
收藏
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浏览/下载:27/0
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提交时间:2019/05/09
Structural information
Nonparallel support vector machine
Alternating direction method of multipliers
Pattern recognition