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
力学研究所 [5]
地理科学与资源研究所 [4]
计算技术研究所 [2]
化学研究所 [2]
高能物理研究所 [2]
上海营养与健康研究所 [2]
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OAI收割 [21]
内容类型
期刊论文 [19]
SCI/SSCI论文 [2]
发表日期
2022 [1]
2021 [1]
2020 [1]
2019 [3]
2018 [3]
2016 [2]
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Physics [2]
Applied [1]
Biotechnol... [1]
Cell Biolo... [1]
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A Tensorial Archie's Law for Water Saturation Evaluation in Anisotropic Model
期刊论文
OAI收割
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5
作者:
Guo, Chen
;
Fan, Zhenzhen
;
Ling, Bowen
;
Yang, Zhifang
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2022/03/05
Conductivity
Tensors
Mathematical models
Rocks
Numerical models
Computational modeling
Anisotropic magnetoresistance
Anisotropy
Archie's law
resistivity
tensorial
water saturation
Non-tensorial gravitational wave background in NANOGrav 12.5-year data set
期刊论文
OAI收割
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2021, 卷号: 64, 期号: 12, 页码: 120412
作者:
Chen, Zu-Cheng
;
Yuan, Chen
;
Huang, Qing-Guo
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/01/16
PULSAR-TIMING PACKAGE
HOLE BINARY-SYSTEMS
ARRAY LIMITS
BLACK-HOLES
SEARCH
CONSTRAINTS
RADIATION
TEMPO2
PROBE
Efficiency of the spectral element method with very high polynomial degree to solve the elastic wave equation
期刊论文
OAI收割
GEOPHYSICS, 2020, 卷号: 85, 期号: 1, 页码: T33-T43
作者:
Lyu, Chao
;
Capdeville, Yann
;
Zhao, Liang
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/05/19
A nondestructive raman spectra stress 2D analysis for the pressure sensor sensitive silicon membrane
期刊论文
OAI收割
ENGINEERING FAILURE ANALYSIS, 2019, 卷号: 105, 页码: 1252-1261
作者:
Wang, Zhenyu
;
Si, Bingjian
;
Chen, Su
;
Jiao, Binbin
;
Yan, Xiulan
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2020/05/19
MEMS
Residual stress
Raman spectra
Image mosaic
A nondestructive raman spectra stress 2D analysis for the pressure sensor sensitive silicon membrane
期刊论文
OAI收割
ENGINEERING FAILURE ANALYSIS, 2019, 期号: 105, 页码: 1252-1261
作者:
Wang, Zhenyu
;
Si, Bingjian
;
Chen, Su
;
Jiao, Binbin
;
Yan, Xiulan
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2020/05/19
MEMS
Residual stress
Raman spectra
Image mosaic
Multi-Antenna Channel Interpolation via Tucker Decomposed Extreme Learning Machine
期刊论文
OAI收割
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 卷号: 68, 期号: 7, 页码: 7160-7163
作者:
Zhang, Han
;
Ai, Bo
;
Xu, Wenjun
;
Xu, Li
;
Cui, Shuguang
  |  
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2019/12/10
Channel interpolation
extreme learning machine
tensor decomposition
Spatial-Spectral Total Variation Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 卷号: 56, 期号: 10, 页码: 6196-6213
作者:
Fan, Haiyan
;
Li, Chang
;
Guo, Yulan
;
Kuang, Gangyao
;
Ma, Jiayi
  |  
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2019/12/10
Hyperspectral image (HSI) denoising
low-rank tensor factorization (LRTF)
spatial-spectral total variation (SSTV)
H3K14me3 genomic distributions and its regulation by KDM4 family demethylases
期刊论文
OAI收割
CELL RESEARCH, 2018, 卷号: 28, 期号: 11, 页码: 1118-1120
作者:
Zhao, Bin
;
Xu, Wenqi
;
Rong, Bowen
;
Ye, Xuanjia
;
Dai, Ruofei
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2020/12/09
Multi-omic
Tensor
Dimensional reduction
Independent component analysis
mQTL
Epigenome-wide association study
Cancer
Tensorial blind source separation for improved analysis of multi-omic data
期刊论文
OAI收割
GENOME BIOLOGY, 2018, 卷号: 19, 期号: -, 页码: 76
作者:
Teschendorff, Andrew E.
;
Jing, Han
;
Jing, Han
;
Paul, Dirk S.
;
Virta, Joni
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2020/12/09
Multi-omic
Tensor
Dimensional reduction
Independent component analysis
mQTL
Epigenome-wide association study
Cancer
Support Tensor Machines for Classification of Hyperspectral Remote Sensing Imagery
SCI/SSCI论文
OAI收割
2016
作者:
Guo X.
;
Huang, X.
;
Zhang, L. F.
;
Zhang, L. P.
;
Plaza, A.
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2017/11/09
Classification
dimensionality reduction
feature extraction
hyperspectral
support tensor machine (STM)
support vector machine
(SVM)
tensor
land-cover classification
principal component analysis
dimensionality
reduction
spatial classification
discriminant-analysis
gait
recognition
vector machines
training data
classifiers
features