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Multiscale mechanical properties of shales: grid nanoindentation and statistical analytics
期刊论文
ACTA GEOTECHNICA, 2021, 期号: -, 页码: 16
作者:
Du, Jianting
;
Luo, Shengmin
;
Hu, Liming
;
Guo, Brandon
;
Guo, Dongdong
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2021/09/01
Characteristic length
Data analytics
Elastic properties
Grid nanoindentation
Shale
Statistical analysis
CpGtools: a python package for DNA methylation analysis
期刊论文
BIOINFORMATICS, 2021, 卷号: 37
作者:
Wei, Ting
;
Nie, Jinfu
;
Larson, Nicholas B.
;
Ye, Zhenqing
;
Eckel-Passow, Jeanette E.
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/11/01
Big Data Nanoindentation and Analytics Reveal the Multi-Staged, Progressively-Homogenized, Depth-Dependent Upscaling of Rocks' Properties
期刊论文
ROCK MECHANICS AND ROCK ENGINEERING, 2021, 页码: 32
作者:
Luo, Shengmin
;
Kim, Daeyoung
;
Wu, Yongkang
;
Li, Yucheng
;
Wang, Dongfang
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  |  
浏览/下载:58/0
  |  
提交时间:2021/05/25
Data analytics
Gaussian mixture modeling
Shale
Staged homogenization
Nanoindentation
Young's modulus
Research on Voiceprint Recognition of Camouflage Voice Based on Deep Belief Network
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 947-962
作者:
Nan Jiang
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  |  
浏览/下载:39/0
  |  
提交时间:2021/11/26
Disguised voice recognition
deep belief network
feature extraction
Gammatone frequency cepstrum coefficients (GFCC)
dropout
Multiresolution Representations for Large-Scale Terrain with Local Gaussian Process Regression
会议论文
Xi'an, China, May 30 - June 5, 2021
作者:
Liu X(刘旭)
;
Li DC(李德才)
;
He YQ(何玉庆)
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  |  
浏览/下载:12/0
  |  
提交时间:2022/03/15
Investigating the softening of weak interlayers during landslides using nanoindentation experiments and simulations
期刊论文
ENGINEERING GEOLOGY, 2020, 卷号: 277, 页码: 12
作者:
Xu, Jingjing
;
Tang, Xuhai
;
Wang, Zhengzhi
;
Feng, Yufei
;
Bian, Kang
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  |  
浏览/下载:46/0
  |  
提交时间:2021/05/25
Softening of weak interlayers
Landslide
Nanoindentation test
Multiscale
Microsensitive fractured rock
A multiple extended target multi-Bernouli filter based on Gaussian process regression model
期刊论文
Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2020, 卷号: 37, 期号: 9, 页码: 1931-1943
作者:
Chen, Hui
;
Li, Guo-Cai
;
Han, Chong-Zhao
;
Du, Jin-Rui
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  |  
浏览/下载:20/0
  |  
提交时间:2020/11/14
Clutter (information theory)
Gaussian distribution
Gaussian noise (electronic)
Kalman filters
Regression analysis
Set theory
Cubature kalman filters
Extended target tracking
Filtering algorithm
Finiteset statistics (FISST)
Gaussian process regression
Gaussian process regression model
Multiple group target tracking
Uncertain environments
Non-gaussian batch process monitoring based on MWSVDD of similarity measure
期刊论文
Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition), 2019, 卷号: 49, 期号: 2, 页码: 259-266
作者:
Zhao, Xiaoqiang
;
W., Zhou
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2020/11/14
Bayesian networks
Data description
Gaussian distribution
Gaussian noise (electronic)
Inference engines
Principal component analysis
Process control
Process monitoring
Testing
Vector spaces
Batch process
Mixture distributions
Multiphase
Similarity measure
Support vector data description
Probabilistic assessment of wind power accommodation considering load randomness
期刊论文
Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2019, 卷号: 40, 期号: 2, 页码: 341-347
作者:
Zhang, Xiaoying
;
Wang, Bin
;
Wang, Kun
;
Wang, Xiaolan
;
Chen, Wei
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/11/14
Electric load flow
Gaussian distribution
Markov processes
Wind power
Gaussian Mixture Model
Markov Chain Monte-Carlo
Power flow equations
Probabilistic assessments
Probability modeling
Slice samplings
Standard deviation
Wind power accommodations
Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 2, 页码: 449-463
作者:
Ma, Zhanyu
;
Lai, Yuping
;
Kleijn, W. Bastiaan
;
Song, Yi-Zhe
;
Wang, Liang
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2019/07/12
Bayesian estimation
computer vision
Dirichlet process (DP) mixture
inverted Dirichlet distribution
variational learning
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