The Applications of the Combinations of Deep Learning and Blockchain Technology in Manufacturing Production Process: A Comprehensive Investigation

Chuanhui Zhou

2024

Abstract

In recent times, both deep learning and blockchain technology have garnered significant interest, attributed to their respective strengths in predictive accuracy and data security enhancement. As the push towards intelligent manufacturing gains momentum, the integration of these two technologies holds the potential to fundamentally transform the manufacturing production process. This paper explores the applications and significance of the combination of deep learning and blockchain technology in manufacturing production process, discussing the benefits and areas for further improvement. Specifically, this work first briefly introduces the related concepts of deep learning and blockchain technology. Furthermore, the possible applications and benefits of the combination of deep learning and blockchain technology in manufacturing are discussed. The three potential proposed applications include predictive maintenance, quality control, and supply chain management. Finally, after discussion, this work points out that challenges such as large computational resource requirements, large training data labeling effort and training data privacy and security issues still need to be improved.

Paper Citation

in Harvard Style

Zhou C. (2024). The Applications of the Combinations of Deep Learning and Blockchain Technology in Manufacturing Production Process: A Comprehensive Investigation. In Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-690-3, SciTePress, pages 281-285. DOI: 10.5220/0012821200004547

in Bibtex Style

@conference{icdse24,
author={Chuanhui Zhou},
title={The Applications of the Combinations of Deep Learning and Blockchain Technology in Manufacturing Production Process: A Comprehensive Investigation},
booktitle={Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2024},
pages={281-285},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012821200004547},
isbn={978-989-758-690-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - The Applications of the Combinations of Deep Learning and Blockchain Technology in Manufacturing Production Process: A Comprehensive Investigation
SN - 978-989-758-690-3
AU - Zhou C.
PY - 2024
SP - 281
EP - 285
DO - 10.5220/0012821200004547
PB - SciTePress