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Titlebook: Artificial Intelligence and Security; 8th International Co Xingming Sun,Xiaorui Zhang,Elisa Bertino Conference proceedings 2022 The Editor(

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發(fā)表于 2025-3-21 17:28:12 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Artificial Intelligence and Security
期刊簡(jiǎn)稱(chēng)8th International Co
影響因子2023Xingming Sun,Xiaorui Zhang,Elisa Bertino
視頻videohttp://file.papertrans.cn/163/162281/162281.mp4
學(xué)科分類(lèi)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Artificial Intelligence and Security; 8th International Co Xingming Sun,Xiaorui Zhang,Elisa Bertino Conference proceedings 2022 The Editor(
影響因子This three-volume set LNCS 13338-13340 constitutes the thoroughly refereed proceedings of the 8.th. International Conference on Artificial Intelligence and Security, ICAIS 2022, which was held in Qinghai, China, in July 2022.. The total of 166 papers included in the 3 volumes were carefully reviewed and selected from 1124 submissions. The papers present research, development, and applications in the fields of artificial intelligence and information security
Pindex Conference proceedings 2022
The information of publication is updating

書(shū)目名稱(chēng)Artificial Intelligence and Security影響因子(影響力)




書(shū)目名稱(chēng)Artificial Intelligence and Security影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Artificial Intelligence and Security網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Artificial Intelligence and Security網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Artificial Intelligence and Security被引頻次




書(shū)目名稱(chēng)Artificial Intelligence and Security被引頻次學(xué)科排名




書(shū)目名稱(chēng)Artificial Intelligence and Security年度引用




書(shū)目名稱(chēng)Artificial Intelligence and Security年度引用學(xué)科排名




書(shū)目名稱(chēng)Artificial Intelligence and Security讀者反饋




書(shū)目名稱(chēng)Artificial Intelligence and Security讀者反饋學(xué)科排名




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Montage miniaturisierter Bauteileis first necessary to extract the defined software method body from the source code. We build an abstract syntax tree for the method to form a statement set; then, the variable names, function names, and strings in the method are replaced. Each statement in the code is given a number to construct a
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H. J. Warnecke,K. Lange,G. Pritschowcation, and the results of the initial discrimination are input into DNN for secondary classification to obtain the final results. The experimental results on NSL-KDD dataset show that the intrusion model proposed in this paper shows good real-time performance and high detection rate.
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https://doi.org/10.1007/978-3-642-50233-0creen out irrational offer users and increase the execution efficiency of the sensing task. A Softmax regression algorithm is used to implement miners’ verification of the quality grade of sensing data, and the value of data is calculated by the quality grade of user offers and data to encourage use
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FTK ’88, Fertigungstechnisches KolloquiumPAWSN). This algorithm optimizes the clustering process, selects multiple cluster head nodes for clusters with high communication pressure, and at the same time, designs a new path probability selection model for ant movement, which fully considers the remaining energy of cluster head nodes close to
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