Theoretical Framework for Blockchain Secured Predictive Maintenance Learning Model Using Digital Twin
The automotive sector benefits from Digital Twins (DTs), software replicas of physical assets or processes. DTs enable engineers and data scientists to obtain deeper insights into the system and solve the most difficult problems faster and more affordably. Blockchain technology is a developing and e...
Сохранить в:
| Главные авторы: | Babenko, M. G., Бабенко, М. Г. |
|---|---|
| Format: | Статья |
| Sprog: | English |
| Udgivet: |
Springer Science and Business Media Deutschland GmbH
2024
|
| Fag: | |
| Online adgang: | https://dspace.ncfu.ru/handle/123456789/29301 |
| Tags: |
Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
|
Lignende værker
-
Digital Power Engineering. Цифровая энергетика учебное пособие
af: Балабанова, А. Г. -
Digital Forensics Chain of Custody Using Blockchain
af: Lapin, V. G., и др.
Udgivet: (2024) -
A Safe and Secure Online System for Bidding Using Blockchain Technology
af: Lapina, M. A., и др.
Udgivet: (2024) -
Framework based on IoT, AI, and blockchain for smart access to government agricultural schemes
af: Lapina, M. A., и др.
Udgivet: (2024) -
Conducting work on the maintenance of landscape architecture objects textbook
af: Polovnikova, M. V.