Robotics & Machine Learning Daily News2024,Issue(Nov.12) :64-64.

Studies from Guangzhou University Reveal New Findings on Machine Learning (Dual- channel Ncss Performance Error Estimation Under Dos Attacks and Intelligent Cont rol Supervised By Machine Learning To Agv Application)

广州大学的研究揭示了机器学习的新发现(Dos攻击下的双通道Ncss性能误差估计和机器学习监督下的智能控制到Agv应用)

Robotics & Machine Learning Daily News2024,Issue(Nov.12) :64-64.

Studies from Guangzhou University Reveal New Findings on Machine Learning (Dual- channel Ncss Performance Error Estimation Under Dos Attacks and Intelligent Cont rol Supervised By Machine Learning To Agv Application)

广州大学的研究揭示了机器学习的新发现(Dos攻击下的双通道Ncss性能误差估计和机器学习监督下的智能控制到Agv应用)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于机器学习的详细数据已经呈现。根据新闻报道来自中华人民共和国广州的NewsRx记者的研究表明,“本研究的重点是:”双通道网络控制系统性能误差(PE)估计问题(NCSs)受到拒绝服务(DoS)攻击。首先,研究了网络拥塞的影响由服务质量(QoS)管理机制和DoS攻击引起。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news reportingfrom Guangzhou, People’s Republic o f China, by NewsRx journalists, research stated, “This study focuseson addressi ng the issue of estimating performance error (PE) in dual-channel networked cont rol systems(NCSs) under denial-of-service (DoS) attacks. First, the study exami nes the impact of network congestioncaused by quality-of-service (QoS) manageme nt mechanisms and DoS attacks.”

Key words

Guangzhou/People’s Republic of China/A sia/Cybersecurity/Cyborgs/Emerging Technologies/Intelligent Controls/Machin e Learning/Guangzhou University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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