charity
发表于 2025-3-21 20:03:52
书目名称Advances in IoT and Security with Computational Intelligence影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0148590<br><br> <br><br>书目名称Advances in IoT and Security with Computational Intelligence影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0148590<br><br> <br><br>书目名称Advances in IoT and Security with Computational Intelligence网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0148590<br><br> <br><br>书目名称Advances in IoT and Security with Computational Intelligence网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0148590<br><br> <br><br>书目名称Advances in IoT and Security with Computational Intelligence被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0148590<br><br> <br><br>书目名称Advances in IoT and Security with Computational Intelligence被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0148590<br><br> <br><br>书目名称Advances in IoT and Security with Computational Intelligence年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0148590<br><br> <br><br>书目名称Advances in IoT and Security with Computational Intelligence年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0148590<br><br> <br><br>书目名称Advances in IoT and Security with Computational Intelligence读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0148590<br><br> <br><br>书目名称Advances in IoT and Security with Computational Intelligence读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0148590<br><br> <br><br>
famine
发表于 2025-3-21 22:53:53
978-981-99-5084-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
气候
发表于 2025-3-22 00:33:24
Anurag Mishra,Deepak Gupta,Girija ChettyPresents research works in the field of Internet of Things and security.Provides original works presented at ICAISA 2023 held in Delhi, India.Serves as a reference for researchers and practitioners in
Conducive
发表于 2025-3-22 07:53:19
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使纠缠
发表于 2025-3-22 11:00:38
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僵硬
发表于 2025-3-22 13:02:10
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UTTER
发表于 2025-3-22 18:55:57
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Delirium
发表于 2025-3-22 22:16:18
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wreathe
发表于 2025-3-23 01:39:03
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江湖骗子
发表于 2025-3-23 06:45:21
https://doi.org/10.1007/978-3-030-12365-9curring in legit and spam mails and classifying them accordingly. This research used the notion of applying few labelled data to extrapolate and work on unlabelled data to attain high-accuracy classifiers. Many organizations, students and workplaces have recently used emails to communicate about cur