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Updated: Jul 1, 2025

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches
07:23

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches

Published on: August 4, 2014

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具有Deep Kronecker神经网络的自适应激活功能,使用熊嗅探搜索算法进行优化,以防止MANET网络安全攻击

E V R M Kalaimani Shanmugham1, Saravanan Dhatchnamurthy2, Prabbu Sankar Pakkiri3

  • 1Department of Computer Science and Engineering, Arasu Engineering College, Kumbakonam, India.

Network (Bristol, England)
|March 14, 2024
PubMed
概括

本研究介绍了一种用于移动特设网络 (MANET) 的新型网络安全方法,使用由熊嗅探搜索算法 (BSSA) 优化的深克罗纳克神经网络 (ADKNN) 的自适应激活函数. 在ADKNN-BSSA-CSMANET方法显著减少网络威胁的检测延迟.

关键词:
适应激活功能与深度克罗内克神经网络加密哈希签名 加密哈希签名网络安全攻击攻击网络安全攻击地测过器的过方法组教学算法 组教学算法曼尼特·曼尼特 (Manet Manet) 是一个名为曼尼特的城市.在NSL-KDD数据集中.基于适应密度的空间聚类.

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