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Titlebook: Network Algorithms, Data Mining, and Applications; NET, Moscow, Russia, Ilya Bychkov,Valery A. Kalyagin,Oleg Prokopyev Conference proceedin

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樓主: Hoover
31#
發(fā)表于 2025-3-27 01:00:30 | 只看該作者
ble system’s request logs. In particular, we greatly improve the prediction model based on machine learning. Our use case is a commercial alarm system in productive use, developed and maintained by the GSelectronic company in Germany. We experimentally demonstrate that our improvements significantly
32#
發(fā)表于 2025-3-27 05:05:42 | 只看該作者
date its behaviour, and check that the control system guarantees the supply of drinking water to a city, using the data obtained from that city as input. Through the simulator it is possible to analyse and represent different configurations of the control system over an infrastructure, thus being ab
33#
發(fā)表于 2025-3-27 05:42:24 | 只看該作者
Hamoud S. Bin-Obaid,Theodore B. Trafaliserformance of our proposed scheme, we construct a simulation platform and compare our scheme with that of the other methods in an SDN simulation platform. The simulation results indicate that our approach is effective and our method can reflect the network traffic characteristics.
34#
發(fā)表于 2025-3-27 12:18:21 | 只看該作者
Dmitry I. Ignatov,Polina Ivanova,Albina Zamaletdinovan the test platforms, an academic and a commercial processor simulator were evaluated. The resulting average relative runtimes of the minimal introduced overhead are determined to be between 2.24 and 8.09 meaning that an emulation takes twice to eight times as long with instrumentation enabled.
35#
發(fā)表于 2025-3-27 14:10:14 | 只看該作者
Galina Gradoselskaya,Ilia Karpov,Tamara Shcheglovaservatory” mode of engagement appears, the aim of which is to preserve the conditions for perpetuating the action and capacities of each officer cadet..This research leads to the formulation of principles for the design of trainings whose aim is to prepare professionals to deal with the unknown, the
36#
發(fā)表于 2025-3-27 20:23:37 | 只看該作者
37#
發(fā)表于 2025-3-28 01:15:25 | 只看該作者
38#
發(fā)表于 2025-3-28 06:09:17 | 只看該作者
39#
發(fā)表于 2025-3-28 09:53:21 | 只看該作者
40#
發(fā)表于 2025-3-28 14:01:47 | 只看該作者
Collaborator Recommender Systemay to find such collaborators. In this paper, we propose a recommender system for the scientists from the Higher School of Economics university to help them find co-authors for their prospective studies.
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