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Titlebook: Cloud Computing, Smart Grid and Innovative Frontiers in Telecommunications; 9th EAI Internationa Xuyun Zhang,Guanfeng Liu,Tao Huang Confere

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樓主: Exaltation
21#
發(fā)表于 2025-3-25 03:59:11 | 只看該作者
Die Stellung der Gerichte im Rechtssystemlem. The character-matching search functions of website can hardly meet users’ requirements. Furthermore, building the content of webpages of a specific web-site and the associated rules is uneconomical. This paper, based on the framework of the Lucene engine, applied a semantic ontology, the calcul
22#
發(fā)表于 2025-3-25 08:04:28 | 只看該作者
Niklas Luhmann,Veronika Tacke,Ernst Lukasarable convolution. Firstly, the dilated convolution is used to expand the receptive field during the convolution process while maintaining the number of convolution parameters, which can extract more high-level global semantic features and improve the classification accuracy of the network. Second,
23#
發(fā)表于 2025-3-25 14:46:02 | 只看該作者
An Introduction and Comparison of the Application of Cloud and Fog in IoTed by the Internet of Things (IoTs) are put forward. It also points out the shortcomings of cloud computing in solving these problems. Then it explains the advantages of fog computing over cloud computing in solving these problems, and finally introduces the new challenges fog computing encounters.
24#
發(fā)表于 2025-3-25 16:07:19 | 只看該作者
25#
發(fā)表于 2025-3-25 23:07:53 | 只看該作者
https://doi.org/10.1007/978-3-658-23212-2ctors, we develop a novel algorithm for calculation, which is named as IPSTS (IPSTS). To evaluate the proposed approach, experiments are performed and results indicate that Mean Absolute Difference (MAE) and root mean square error (RMSE) could be significantly reduced, when compared with those of traditional collaborative filtering Algorithms.
26#
發(fā)表于 2025-3-26 01:06:40 | 只看該作者
27#
發(fā)表于 2025-3-26 07:24:38 | 只看該作者
28#
發(fā)表于 2025-3-26 08:52:41 | 只看該作者
29#
發(fā)表于 2025-3-26 14:37:19 | 只看該作者
30#
發(fā)表于 2025-3-26 18:14:14 | 只看該作者
https://doi.org/10.1007/978-3-658-28261-5ized path matching problem and guide the join order of the paths in the query results. An extensive empirical study over real-world datasets has demonstrated the effectiveness and efficiency of our approach.
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