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Guest Editorial Special Issue on Industrial Big Data and Artificial Intelligence-Driven Intelligent Perception, Maintenance, and Decision Optimization in Industrial Systems

Jipu Li1, Haidong Shao2,*, Yun Kong3, Zhuyun Chen4

1 Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China
2 College of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082, China
3 School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China
4 Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, 510006, China

* Corresponding Author: Haidong Shao. Email: email

(This article belongs to the Special Issue: Industrial Big Data and Artificial Intelligence-Driven Intelligent Perception, Maintenance, and Decision Optimization in Industrial Systems)

Computers, Materials & Continua 2025, 82(2), 3609-3613. https://doi.org/10.32604/cmc.2024.062183

Abstract

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Cite This Article

APA Style
Li, J., Shao, H., Kong, Y., Chen, Z. (2025). Guest Editorial Special Issue on Industrial Big Data and Artificial Intelligence-Driven Intelligent Perception, Maintenance, and Decision Optimization in Industrial Systems. Computers, Materials & Continua, 82(2), 3609–3613. https://doi.org/10.32604/cmc.2024.062183
Vancouver Style
Li J, Shao H, Kong Y, Chen Z. Guest Editorial Special Issue on Industrial Big Data and Artificial Intelligence-Driven Intelligent Perception, Maintenance, and Decision Optimization in Industrial Systems. Comput Mater Contin. 2025;82(2):3609–3613. https://doi.org/10.32604/cmc.2024.062183
IEEE Style
J. Li, H. Shao, Y. Kong, and Z. Chen, “Guest Editorial Special Issue on Industrial Big Data and Artificial Intelligence-Driven Intelligent Perception, Maintenance, and Decision Optimization in Industrial Systems,” Comput. Mater. Contin., vol. 82, no. 2, pp. 3609–3613, 2025. https://doi.org/10.32604/cmc.2024.062183



cc Copyright © 2025 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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