Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks-Reference-Cited by-同舟云学术

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Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks

Published:2023-06-06 Issue: Volume: Page:
ISSN:
Container-title:2023 12th Mediterranean Conference on Embedded Computing (MECO)
language:
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Author:

Catak Ferhat Ozgur¹,Cali Umit²,Kuzlu Murat³,Sarp Salih⁴

Affiliation:

1. University of Stavanger,Dept. of Electrical Engineering and Computer Science,Stavanger,Norway

2. Norwegian University of Science and Technology,Department of Electric Power Engineering,Trondheim,Norway

3. Old Dominion University,Electrical Engineering Technology,Norfolk,VA,USA

4. Virginia Commonwealth University,Electrical and Computer Engineering,Richmond,VA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10154895/10154897/10155011.pdf?arnumber=10155011

Reference11 articles.

1. Uncertainty-guided testing and robustness enhancement for deep learning systems

2. Uncertainty-aware RAN Slicing via Machine Learning Predictions in Next-Generation Networks

3. Evaluating uncertainty quantification in end-to-end autonomous driving control;michelmore;CoRR,2018

4. Uncertainty in deep learning;gal;University of Cambridge,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AoI-Aware Optimization in RIS-Assisted mmWave Network;2024 10th International Conference on Web Research (ICWR);2024-04-24

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