Incrementally Generative Adversarial Diagnostics Using Few-Shot Enabled One-Class Learning-Reference-Cited by-同舟云学术

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Incrementally Generative Adversarial Diagnostics Using Few-Shot Enabled One-Class Learning

Published:2024 Issue: Volume: Page:1-11
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Pu Ziqiang¹,Yan Lijuan²,Bai Yun³,Cabrera Diego⁴^ORCID,Li Chuan²^ORCID

Affiliation:

1. School of Mechanical Engineering, Chongqing Technology and Business University, Chongqing, 400067, China

2. Research Center for System Health Maintenance, Chongqing Technology and Business University, Chongqing, China

3. School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing, China

4. GIDTEC Group, Universidad Politécnica Salesiana, Cuenca, Ecuador

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Starting Project of Chongqing Technology and Business University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/9424/4389054/10589283.pdf?arnumber=10589283

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