Key Technologies and Applications for Intelligent Control of Power 5G Virtual Private Network-Reference-Cited by-同舟云学术

Key Technologies and Applications for Intelligent Control of Power 5G Virtual Private Network

Published:2022-06-17 Issue: Volume: Page:
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Container-title:2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
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Author:

Guo Xuerang¹,Yin Jun¹,Li Yaping²,Zhang Zhijun²,Xie Peng²,Li Yue¹

Affiliation:

1. State Grid Xinjiang Electric Power Research Institute,Information and Communication Technology Center,Urumqi,China

2. Electric Power Control Center, State Grid Xinjiang Electric Power Company,Urumqi,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9836326/9836330/09836500.pdf?arnumber=9836500

Reference15 articles.

1. Deep-Convolution-Based LSTM Network for Remaining Useful Life Prediction

2. DeepMTT: A deep learning maneuvering target-tracking algorithm based on bidirectional LSTM network

3. Service-Oriented Architecture for Data- Driven Fault Detection [C];fernandes;nternational Symposium on Distributed Computing and Artificial Intelligence,2021

4. An efficient approach for enhancing security in Internet of Things using the optimum authentication key

5. An Authentication Key Establish Protocol for WSNs Based on Combined Key

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1. Research on the Overall Architecture and Key Technologies of Information Energy Network Integration;2023 IEEE 23rd International Conference on Communication Technology (ICCT);2023-10-20

2. Research on the Virtual Private Network Security of 5G Smart Nuclear Power Plants;2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE);2023-01-06