和善 发表于 2025-3-21 17:52:01

书目名称Machine Learning for Cyber Security影响因子(影响力)<br>        http://impactfactor.cn/if/?ISSN=BK0620607<br><br>        <br><br>书目名称Machine Learning for Cyber Security影响因子(影响力)学科排名<br>        http://impactfactor.cn/ifr/?ISSN=BK0620607<br><br>        <br><br>书目名称Machine Learning for Cyber Security网络公开度<br>        http://impactfactor.cn/at/?ISSN=BK0620607<br><br>        <br><br>书目名称Machine Learning for Cyber Security网络公开度学科排名<br>        http://impactfactor.cn/atr/?ISSN=BK0620607<br><br>        <br><br>书目名称Machine Learning for Cyber Security被引频次<br>        http://impactfactor.cn/tc/?ISSN=BK0620607<br><br>        <br><br>书目名称Machine Learning for Cyber Security被引频次学科排名<br>        http://impactfactor.cn/tcr/?ISSN=BK0620607<br><br>        <br><br>书目名称Machine Learning for Cyber Security年度引用<br>        http://impactfactor.cn/ii/?ISSN=BK0620607<br><br>        <br><br>书目名称Machine Learning for Cyber Security年度引用学科排名<br>        http://impactfactor.cn/iir/?ISSN=BK0620607<br><br>        <br><br>书目名称Machine Learning for Cyber Security读者反馈<br>        http://impactfactor.cn/5y/?ISSN=BK0620607<br><br>        <br><br>书目名称Machine Learning for Cyber Security读者反馈学科排名<br>        http://impactfactor.cn/5yr/?ISSN=BK0620607<br><br>        <br><br>

分发 发表于 2025-3-21 21:36:48

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Incompetent 发表于 2025-3-22 00:58:49

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Bouquet 发表于 2025-3-22 06:41:50

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澄清 发表于 2025-3-22 12:03:32

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无目标 发表于 2025-3-22 15:15:17

Conference proceedings 2020in Xi’an, China in October 2020..The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning,  Malwar

RECUR 发表于 2025-3-22 17:42:47

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Decline 发表于 2025-3-22 21:32:07

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没有准备 发表于 2025-3-23 04:12:50

A Comparative Study on Key Technologies of Ultra-Reliable Low Latency Communication,formance indicators, this paper discusses the key technologies of reducing URLLC’s delay and increasing its reliability, and proposes the design objectives of URLLC, as well as the key technologies of solving the delay and increasing URLLC’s reliability at design time, which provides a reference for designers and peers.

ectropion 发表于 2025-3-23 08:55:22

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查看完整版本: Titlebook: Machine Learning for Cyber Security; Third International Xiaofeng Chen,Hongyang Yan,Xiangliang Zhang Conference proceedings 2020 Springer