Intelligent Manufacturing Core Enterprise-dominated Collaborative Dataspace Framework for New Energy Vehicle

Authors: Zhang, Ruirui, Yan, Hairui, Xiao, Zhongdong, Zhou, Guanghui, Chang, Fengtian, Yang, Shuqi, Fei, Xuedong, Yang, Xinrui

Source: 2022 International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI) ICDACAI Data Analytics, Computing and Artificial Intelligence (ICDACAI), 2022 International Conference on. :145-151 Aug, 2022

Relation: 2022 International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI)

A Rule-enhanced Collaborative Design Method for Automobiles Considering Manufacturing Constraints

Authors: Jing, Yanzhen, Zhou, Guanghui, Chang, Fengtian, Zhang, Chao, Yan, Hairui, Xiao, Zhongdong

Source: 2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD) Computer Supported Cooperative Work in Design (CSCWD), 2022 IEEE 25th International Conference on. :1047-1052 May, 2022

Relation: 2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)

XMKR: Explainable manufacturing knowledge recommendation for collaborative design with graph embedding learning

Authors: Jing, Yanzhen, Zhou, Guanghui, Zhang, Chao, Chang, Fengtian, Yan, Hairui, Xiao, Zhongdong

Source: In Advanced Engineering Informatics January 2024 59

Heterogeneous knowledge graph-driven subassembly identification with ensemble deep learning in Industry 4.0.

Authors: Zhang, Chao¹ (AUTHOR), Jing, Yanzhen¹ (AUTHOR), Zhou, Guanghui¹ (AUTHOR) ghzhou@mail.xjtu.edu.cn, Yan, Hairui¹ (AUTHOR), Chang, Fengtian² (AUTHOR)

Source: International Journal of Production Research. Dec2024, p1-17. 17p. 11 Illustrations.

Subject Terms: *Systems engineering, Graph neural networks, Deep learning, Knowledge graphs, Detection algorithms