Mixing Neural Networks and Exponential Moving Averages for Predicting Wireless Links Behavior-Reference-Cited by-同舟云学术

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Mixing Neural Networks and Exponential Moving Averages for Predicting Wireless Links Behavior

Published:2024-05-12 Issue: Volume:26 Page:1-6
ISSN:
Container-title:2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS)
language:
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Author:

Formis Gabriele¹,Scanzio Stefano¹,Wisniewski Lukasz²,Cena Gianluca¹

Affiliation:

1. National Research Council of Italy (CNR-IEIIT),Italy

2. Institute Industrial IT - inIT of Technische Hochschule OWL,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10639954/10639940/10640038.pdf?arnumber=10640038

Reference24 articles.

1. Implementing Industry 4.0 principles

2. Industry 5.0: A survey on enabling technologies and potential applications;Maddikunta;Journal of Industrial Information Integration,2022

3. Wireless Channel Quality Prediction using Sparse Gaussian Conditional Random Fields

4. A Deep Learning Model for Wireless Channel Quality Prediction

5. Channel Quality Prediction in 5G LTE Small Cell Mobile Network Using Deep Learning

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