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Titlebook: Ukraine Between the EU and Russia: The Integration Challenge; Rilka Dragneva,Kataryna Wolczuk Book 2015 Rilka Dragneva and Kataryna Wolczu

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31#
發(fā)表于 2025-3-26 22:24:03 | 只看該作者
32#
發(fā)表于 2025-3-27 02:56:21 | 只看該作者
33#
發(fā)表于 2025-3-27 06:06:21 | 只看該作者
Rilka Dragneva,Kataryna Wolczukes based on mobile learning behavior data is proposed. Combined with mobile technology to collect ideological and political learning behavior characteristic data. According to the feature recognition results of the data, an accurate stu classification algorithm is designed, and an evaluation system
34#
發(fā)表于 2025-3-27 11:27:06 | 只看該作者
Rilka Dragneva,Kataryna Wolczukgets the information fusion results according to the corresponding decision. However, due to the uncertainty of data samples, it is difficult to complete statistics, which leads to low processing accuracy and poor information fusion effect of information fusion matching method. In order to solve the
35#
發(fā)表于 2025-3-27 15:52:45 | 只看該作者
36#
發(fā)表于 2025-3-27 18:34:28 | 只看該作者
Rilka Dragneva,Kataryna Wolczukices. Among them, RF power amplifier is one of the key components of RF fingerprinting of wireless transmitter. It is an important breakthrough for RF fingerprint generation mechanism and individual identification. This paper proposes a new identification method of power amplifier based on new intel
37#
發(fā)表于 2025-3-28 00:42:39 | 只看該作者
38#
發(fā)表于 2025-3-28 05:37:06 | 只看該作者
Rilka Dragneva,Kataryna Wolczukrward a path planning method of garbage cleaning robot based on mobile communication network. Jud that initial signal rate of the mobile communication network, constructing a motion model of the clean robot, and planning the robot grasping trajectory according to the model; According to the straight
39#
發(fā)表于 2025-3-28 07:46:31 | 只看該作者
Rilka Dragneva,Kataryna Wolczukomatically. A color automatic control technology of low contrast image based on 3D color space packet template feature detection is proposed, the automatic color control model of image based on big data analysis is constructed. RGB decomposition technology is used to extract the color components of
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