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CNN-based Stochastic Regression for IDDQ Outlier Identification
Chun Teng Chen
, Chia Heng Yen
, Cheng Yen Wen
, Cheng Hao Yang
,
Kai Chiang Wu
, Mason Chern
, Ying Yen Chen
, Chun Yi Kuo
, Jih Nung Lee
, Shu Yi Kao
,
Mango Chia Tso Chao
資訊科學與工程研究所
電子研究所
研究成果
:
Conference contribution
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同行評審
10
引文 斯高帕斯(Scopus)
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Keyphrases
Neural Network
100%
Convolutional Neural Network
100%
Outlier Identification
100%
Stochastic Regression
100%
Spatial Correlation
66%
IDDQ Testing
66%
Process Variation
33%
Proposed Methodology
33%
Testing Method
33%
Highly Accurate
33%
Large Volume
33%
Functional Test
33%
Spatially Correlated
33%
Parts per Million
33%
R-square
33%
Industrial Data
33%
Correlated Processes
33%
Expected Range
33%
Convolution Kernel
33%
Parametric Test
33%
Kernel Map
33%
Testing Paradigms
33%
Mathematics
Stochastics
100%
Convolutional Neural Network
100%
Outlier
100%
Variance
40%
Spatial Correlation
40%
Regression Model
40%
Defectives
20%
Correlated Process
20%
Parametric Test
20%
Computer Science
Convolutional Neural Network
100%
Spatial Correlation
66%
Process Variation
33%
Functional Test
33%
Parametric Test
33%
Engineering
Convolutional Neural Network
100%
Spatial Correlation
66%
Industrial Data
33%
Process Variation
33%