CNN-Based Stochastic Regression for IDDQ Outlier Identification-Reference-Cited by-同舟云学术

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CNN-Based Stochastic Regression for IDDQ Outlier Identification

Published:2023-11 Issue:11 Volume:42 Page:4282-4295
ISSN:0278-0070
Container-title:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
language:
Short-container-title:IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Author:

Yen Chia-Heng¹^ORCID,Chen Chun-Teng¹,Wen Cheng-Yen²,Chen Ying-Yen³,Lee Jih-Nung³^ORCID,Kao Shu-Yi³,Wu Kai-Chiang¹,Chao Mango Chia-Tso²^ORCID

Affiliation:

1. Department of Computer Science and Institute of Computer Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

2. Department of Electronics Engineering and Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

3. CTC/DFT, Realtek Semiconductor Corporation, Hsinchu, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/43/10288105/10059120.pdf?arnumber=10059120

Reference24 articles.

1. Statistical outlier screening as a test solution health monitor

2. Mixture density networks;bishop,1994

3. Demystifying Iddq Data With Process Variation for Automatic Chip Classification

4. CNN-based Stochastic Regression for IDDQ Outlier Identification

5. Defect screening using independent component analysis on I/sub DDQ/

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