An effective architecture of digital twin system to support human decision making and AI‐driven autonomy-Reference-Cited by-同舟云学术

An effective architecture of digital twin system to support human decision making and AI‐driven autonomy

Published:2020-11-27 Issue:19 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Mostafa Fahed¹²,Tao Longquan¹²^ORCID,Yu Wenjin¹

Affiliation:

1. Computer Science and Information Technology La Trobe University Bundoora Victoria Australia

2. Enterprise Data Services Australia Energy Market Operator Melbourne Victoria Australia

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6111

Reference36 articles.

1. Digital Twin—The Simulation Aspect

2. FrämlingK HolmströmJ Ala‐RiskuT KärkkäinenM. Product agents for handling information about physical objects. Report of laboratory of information processing science series B TKO‐B; 03 2003:153.

3. Building blocks for a digital twin of additive manufacturing

4. Digital Twin Service towards Smart Manufacturing

5. About The Importance of Autonomy and Digital Twins for the Future of Manufacturing

Cited by 25 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. Data-driven visual model development and 3D visual analytics framework for underground mining;Tunnelling and Underground Space Technology;2024-11

2. Digital twin-driven intelligent operation and maintenance platform for large-scale hydro-steel structures;Advanced Engineering Informatics;2024-10

3. Smart manufacturing platform based on input-output empirical relationships for process monitoring;International Journal of Material Forming;2024-07-09

4. Digital twin on concepts, enabling technologies, and applications;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2024-06-03

5. A Review on Digital Twins and Its Application in the Modeling of Photovoltaic Installations;Energies;2024-03-04