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Titlebook: Advanced Network Technologies and Intelligent Computing; Second International Isaac Woungang,Sanjay Kumar Dhurandher,Pradeepika Conference

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樓主: microbe
11#
發(fā)表于 2025-3-23 13:23:09 | 只看該作者
Perspectives in Vision Research (SCADA) systems that are made on purpose. Seemingly, the attacker can launch attacks anywhere in the world from a single place. Viruses and other dangerous executables tend to stay in the system for a while and then spread their copy to other systems on the network. One of the greatest issues for s
12#
發(fā)表于 2025-3-23 15:13:22 | 只看該作者
,Aqueous, Iris—Ciliary Body, and Trabeculum,gorithms can reduce the overall energy consumption of the network. These can be accomplished by carefully choosing the best nodes for continuous target monitoring situations. Traditional prediction algorithms, on the other hand, were limited to constant motion models and typically failed in fast tar
13#
發(fā)表于 2025-3-23 20:58:41 | 只看該作者
14#
發(fā)表于 2025-3-24 00:55:34 | 只看該作者
Biochemistry of the Lanthanidescases for these models may vary. Recommendation systems in eCommerce websites, relationship prediction in social media networks, and biological gene link assessment in the Human body are a few examples of the application of Link Prediction. The conversion of this problem into a supervised classifica
15#
發(fā)表于 2025-3-24 06:10:21 | 只看該作者
16#
發(fā)表于 2025-3-24 08:30:13 | 只看該作者
17#
發(fā)表于 2025-3-24 13:45:00 | 只看該作者
18#
發(fā)表于 2025-3-24 16:55:34 | 只看該作者
Giovanni Camussi,Ciro Tetta,Corrado Baglioniand privacy is very difficult. In order to guarantee the privacy and security of data in cloud computing, this study developed an efficient and enhanced method that involves concealing data inside pictures. The authors have proposed Multi Level Encryption Algorithm (MLEA) and Two-Level Encryption Al
19#
發(fā)表于 2025-3-24 19:50:51 | 只看該作者
https://doi.org/10.1007/978-3-662-05092-7e or intelligence intensive challenges. Query optimization is the process of yielding an optimized query based upon the cost and latency for a given location based query. In this view, this article introduces an Enhanced Horse Optimization Algorithm based Intelligent Query Optimization in Crowdsourc
20#
發(fā)表于 2025-3-25 01:49:43 | 只看該作者
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