Author | Garg, S. |
Author | Guizani, M. |
Author | Guo, S. |
Author | Verikoukis, C. |
Available date | 2022-12-22T07:46:45Z |
Publication Date | 2020-02-01 |
Publication Name | IEEE Transactions on Industrial Informatics |
Identifier | http://dx.doi.org/10.1109/TII.2019.2955963 |
Citation | Garg, S., Guizani, M., Guo, S., & Verikoukis, C. (2019). Guest editorial special section on AI-driven developments in 5G-envisioned industrial automation: big data perspective. IEEE Transactions on Industrial Informatics, 16(2), 1291-1295. |
ISSN | 15513203 |
URI | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85078802042&origin=inward |
URI | http://hdl.handle.net/10576/37540 |
Abstract | The papers in this special section examine artificial intelligence (AI)-driven developments in 5G mobile communications for industrial automation applications from a Big Data perspective. With the recent advances in information and communication technologies, industrial automation is expanding at a rapid pace. This transition is characterized by “Industry 4.0”, the fourth revolution in the field of manufacturing. Industry 4.0, also called as “Industrial Internet of Things (IIoT)” or “Smart Factories”, is a reflection of new industrial revolution that is not only interconnected, but also communicate, analyze, and use the information to create a more holistic and better connected ecosystem for the industries. |
Language | en |
Publisher | IEEE Computer Society |
Subject | 5G-Envisioned
|
Title | Guest Editorial Special Section on AI-Driven Developments in 5G-Envisioned Industrial Automation: Big Data Perspective |
Type | Article |
Pagination | 1291-1295 |
Issue Number | 2 |
Volume Number | 16 |
dc.accessType
| Open Access |