Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing-Reference-Cited by-同舟云学术

Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing

Published:2020-04-08 Issue:5 Volume:33 Page:429-439
ISSN:0951-192X
Container-title:International Journal of Computer Integrated Manufacturing
language:en
Short-container-title:International Journal of Computer Integrated Manufacturing

Author:

Alexopoulos Kosmas¹,Nikolakis Nikolaos¹,Chryssolouris George¹

Affiliation:

1. Laboratory for Manufacturing Systems & Automation (LMS), Department of Mechanical Engineering & Aeronautics, University of Patras, Rio-Patras, Greece

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2020.1747642

Reference23 articles.

1. A brief discussion on the trends of habilitating technologies for Industry 4.0 and Smart manufacturing

2. An industrial Internet of things based platform for context-aware information services in manufacturing

3. Digital manufacturing: History, perspectives, and outlook

4. Digital reality: a model-based approach to supervised learning from synthetic data

Cited by 138 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Energy digital twins in smart manufacturing systems: A case study;Robotics and Computer-Integrated Manufacturing;2024-08

2. Unlocking the Potential of AI-Powered Digital Twins in Advancing Space Technology;Advances in Business Information Systems and Analytics;2024-04-12

3. The Roadmap to AI and Digital Twin Adoption;Advances in Business Information Systems and Analytics;2024-04-12

4. Optimizing Business Processes Using AI and Digital Twin;Advances in Business Information Systems and Analytics;2024-04-12

5. Virtual manufacturing in Industry 4.0: A review;Data Science and Management;2024-03