在认知5G网络中,恶意用户的分类使用了来自变压器模型的新改进的双向编码器表示形式

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Updated: Jul 15, 2026

Characterization of Anisotropic Leaky Mode Modulators for Holovideo
09:36

Characterization of Anisotropic Leaky Mode Modulators for Holovideo

Published on: March 19, 2016

Saranya S1, N Malligeswari2, F Twinkle Graf3

  • 1Department of Computer Science and Engineering, Dr. N.G.P. Institute of Technology, Coimbatore, 641048, India. ssaranya065@gmail.com.

Scientific reports
|December 9, 2025
PubMed
概括

本研究介绍了一种智能机器学习方法,用于识别认知5G网络中的恶意用户. 新的IBERT-ROA模型在检测各种攻击方面实现了高精度,提高了网络安全.

关键词:
认知5G网络是5G网络的基础.改进了来自变压器的双向编码器表示.恶意用户分类恶意用户分类规范化和扩大规模.革命优化算法 革命优化算法自我注意力循环神经网络-自动编码器

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