Theoretical Framework for Blockchain Secured Predictive Maintenance Learning Model Using Digital Twin

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...

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書誌詳細
主要な著者:	Babenko, M. G., Бабенко, М. Г.
フォーマット:	Статья
言語:	English
出版事項:	Springer Science and Business Media Deutschland GmbH 2024
主題:	Blockchain Predictive maintenance Digital twin
オンライン･アクセス:	https://dspace.ncfu.ru/handle/123456789/29301
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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