Empowering digital twins with large language models for global temporal feature learning-Reference-Cited by-同舟云学术

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Empowering digital twins with large language models for global temporal feature learning

Published:2024-06 Issue: Volume:74 Page:83-99
ISSN:0278-6125
Container-title:Journal of Manufacturing Systems
language:en
Short-container-title:Journal of Manufacturing Systems

Author:

Sun Yicheng^ORCID,Zhang Qi,Bao Jinsong^ORCID,Lu Yuqian,Liu Shimin

Publisher

Elsevier BV

Reference44 articles.

1. A blockchain-based interactive approach between digital twin-based manufacturing systems;Liu;Comput Ind Eng,2023

2. New digital triad (DT-II) concept for lifecycle information integration of sustainable manufacturing systems;Bi;J Ind Inf Integr,2022

3. Beyond digital twins – A commentary;Tomko;Environ Plan B Urban Anal City Sci,2019

4. Digital Twin for maintenance: a literature review;Errandonea;Comput Ind,2020

5. Manufacturing is even more powerful: industry 4.0 and digital twins;Deloitte;Softw Integr Circuit,2018

Cited by 4 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. A digital twin-based assembly model for multi-source variation fusion on vision transformer;Journal of Manufacturing Systems;2024-10

2. Advancing Sustainable Cyber-Physical System Development with a Digital Twins and Language Engineering Approach: Smart Greenhouse Applications;Technologies;2024-09-02

3. TWIN-ADAPT: Continuous Learning for Digital Twin-Enabled Online Anomaly Classification in IoT-Driven Smart Labs;Future Internet;2024-07-04

4. Automated Planning and Scheduling with Swarm Intelligence;Lecture Notes in Computer Science;2024

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