Machine Learning for Zero- Touch Management in Heterogeneous Industrial Networks - A Review
Author:
Affiliation:
1. Institute Industrial IT - inIT, TH OWL,Lemgo,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9779159/9779160/09779183.pdf?arnumber=9779183
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1. Management of heterogeneous AI-based industrial environments by means of federated adaptive-robot learning;European Journal of Innovation Management;2024-06-10
2. Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis;IEEE Transactions on Network and Service Management;2024-06
3. Mixing Neural Networks and Exponential Moving Averages for Predicting Wireless Links Behavior;2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS);2024-05-12
4. Network Digital Twins: A Key-Enabler for Zero-Touch Management in Industrial Communication Systems;2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA);2023-09-12
5. Linear Combination of Exponential Moving Averages for Wireless Channel Prediction;2023 IEEE 21st International Conference on Industrial Informatics (INDIN);2023-07-18
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