A Dynamic Printing Equipment Production Status Anomaly Detection Model-Reference-Cited by-同舟云学术

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A Dynamic Printing Equipment Production Status Anomaly Detection Model

Published:2023-11-17 Issue: Volume: Page:208-214
ISSN:
Container-title:Proceedings of the 2023 International Conference on Electronics, Computers and Communication Technology
language:
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Author:

Wang HanLin¹^ORCID,Yin hua¹^ORCID,Ren Qiuran¹^ORCID,Zhang Jiajia¹^ORCID,Tang Kuntian¹^ORCID

Affiliation:

1. Guangdong University of Finance & Economics, China

Funder

project of philosophy and social science planning of Guangzhou

MOE (Ministry of Education in China) Project of Humanities and Social Sciences

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637494.3638732

Reference18 articles.

1. Autoencoder and Incremental Clustering-Enabled Anomaly Detection

2. Hu. 2023. Exploration of Digital Transformation in Newspaper Printing. Printing Technology (Jan. 2023), 1.

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