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Transformer and Its Variants for Identifying Good Dice in Bad Neighborhoods
Cheng Che Lu
*
, Chi Chih Chang
*
, Chia Heng Yen
*
, Shuo Wen Chang
, Ying Hua Chu
,
Kai Chiang Wu
*
,
Mango Chia Tso Chao
*
此作品的通信作者
國立陽明交通大學
電子研究所
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4
引文 斯高帕斯(Scopus)
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Wafer
100%
Transformer
100%
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100%
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Multilayer Perceptron
50%
Spatial Dependence
50%
Linear Regression
50%
Manufacturing Defects
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Yield Loss
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Simple Mechanisms
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Complex Patterns
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Spatial Relationship
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Specific Pattern
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Parts per Million
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Defective Parts
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Deep Learning Model
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Information Capacity
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Clustering Pattern
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Neighboring Information
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Spatial Form
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Model Capacity
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Pattern Information
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Transformer-based Deep Learning
50%
MetaFormer
50%
Limited Observation
50%
Computer Science
Observation Window
100%
Performance Improvement
50%
Multilayer Perceptron
50%
Complex Pattern
50%
Spatial Relationship
50%
Information Pattern
50%
Deep Learning Model
50%
Manufacturing Defect
50%
Transformer-Based Deep Learning
50%
Engineering
Observation Window
100%
Performance Improvement
50%
Deep Learning Method
50%
Perceptron
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