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Titlebook: Communications, Signal Processing, and Systems; Proceedings of the 2 Qilian Liang,Xin Liu,Baoju Zhang Conference proceedings 2020 Springer

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21#
發(fā)表于 2025-3-25 06:45:17 | 只看該作者
https://doi.org/10.1007/978-94-017-3023-5investigate how the number of generated samples influences the re-ID performance. We do several experiments on the Market1501 database, and the experimental results are of essential reference value to this research field.
22#
發(fā)表于 2025-3-25 09:49:43 | 只看該作者
23#
發(fā)表于 2025-3-25 15:43:15 | 只看該作者
24#
發(fā)表于 2025-3-25 17:55:18 | 只看該作者
25#
發(fā)表于 2025-3-25 21:02:45 | 只看該作者
Solar Photovoltaic Power Plantsive fields and scales, which are expected to obtain more texture details. Meanwhile, the local and global residual learning strategies are employed to prevent overfitting and to improve reconstruction quality. Compared with the classic convolutional neural network-based algorithms, the proposed method achieves better numerical and visual effects.
26#
發(fā)表于 2025-3-26 03:32:05 | 只看該作者
Scattering Polarization in the Chromosphere,s of Harris corner detection algorithm in image scaling, rotation or gray scale change, improves its disadvantage of scaleinvariance, and has strong anti-noise and real-time performance. It has good anti-noise and real-time performance.
27#
發(fā)表于 2025-3-26 07:19:38 | 只看該作者
Stokes Profiles Inversion Techniques,ic concepts and algorithm processes are introduced. Furthermore, the paper discusses the advantages and disadvantages of different algorithms, which will offer potential research direction for the future development of SR.
28#
發(fā)表于 2025-3-26 11:07:29 | 只看該作者
29#
發(fā)表于 2025-3-26 14:37:44 | 只看該作者
30#
發(fā)表于 2025-3-26 17:03:56 | 只看該作者
Image-Based Detecting the Level of Water Using Dictionary Learningon can be transformed to the problem of classifying each image into two classes of ruler and water. As dictionary learning model has shown, its ability and efficiency in image classification problems, it is utilized in this paper to solve the problem of water level detection.
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