A Learning-Based Context-Aware Quality Test System in B5G-Aided Advanced Manufacturing-Reference-Cited by-同舟云学术

A Learning-Based Context-Aware Quality Test System in B5G-Aided Advanced Manufacturing

Author:

Liu Sige¹^ORCID,Cheng Peng²^ORCID,Chen Zhuo³^ORCID,Yu Kan⁴^ORCID,Xiang Wei⁴^ORCID,Li Jun⁵^ORCID,Vucetic Branka¹^ORCID,Li Yonghui¹^ORCID

Affiliation:

1. School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia

2. Department of Computer Science and Information Technology, La Trobe University, Melbourne, VIC, Australia

3. Commonwealth Scientific and Industrial Research Organization (CSIRO) DATA61, Marsfield, NSW, Australia

4. School of Engineering and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia

5. School of Electronics and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China

Funder

ARC

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

Reference32 articles.

1. Algorithms for multi-armed bandit problems;kuleshov;J Mach Learn Res,2000

2. A learning-based context-aware quality test system in B5G-aided advanced manufacturing;liu,2021