Secure Aspect of Digital Twin For Industry 4.0 Application Improvement Using Machine Learning-Reference-Cited by-同舟云学术

Secure Aspect of Digital Twin For Industry 4.0 Application Improvement Using Machine Learning

Published:2022 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Potgantwar Amol,Aggarwal Sambhav,Pant Piyush,Rajawat Anand Singh,Chauhan Chetan,Waghmare Vivek N

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference34 articles.

1. Digital Twin in Industry: State-of-the-Art;F Tao;IEEE Transactions on Industrial Informatics,2019

2. An Approach to Develop a Digital Twin for Industry 4.0 Systems: Manufacturing Automation Case Studies;Guerra-Zubiaga;International Journal of Computer Integrated Manufacturing,2021

3. Digital Twin: Enabling Technologies, Challenges and Open Research;A Fuller;IEEE Access,2020

4. Digital Twin in Industry 4.0: Technologies, Applications and Challenges;F Pires;2019 IEEE 17th International Conference on Industrial Informatics (INDIN),2019

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5. Using Machine Learning for Industry 5.0 Efficiency Prediction Based on Security and Proposing Models to Enhance Efficiency;2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART);2022-12-16