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Titlebook: 3D Imaging—Multidimensional Signal Processing and Deep Learning; Multidimensional Sig Srikanta Patnaik,Roumen Kountchev,Roumiana Kountch Co

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發(fā)表于 2025-3-23 09:45:42 | 只看該作者
Jean-Sébastien Coron,Luca Notarnicolaa common practice in medical image analysis. However, it may be suboptimal in the CXR setting because of distribution disparity, reducing the quality of the learned representations. On the other hand, mining deep features from the non-annotated image using self-supervised learning has great potentia
12#
發(fā)表于 2025-3-23 14:37:47 | 只看該作者
Carolyn Whitnall,Elisabeth Oswald analysis for the characteristics of power grid digitalization application scenarios has not yet been carried out. In this paper, the dynamic analysis technology of quantitative control of power grid is studied, and the expected project costs and benefits are preliminarily calculated using the funct
13#
發(fā)表于 2025-3-23 18:19:03 | 只看該作者
Lecture Notes in Computer Science rapid detection system proposed by Zhang Liyong, this paper improves the method to a certain extent. First, the average value of the blue component was added to Zhang’s dynamic method to reduce the effect of excess blue component caused by UV light exposure, which was found to mark the white light
14#
發(fā)表于 2025-3-23 22:28:08 | 只看該作者
15#
發(fā)表于 2025-3-24 02:37:15 | 只看該作者
16#
發(fā)表于 2025-3-24 10:35:27 | 只看該作者
Carolyn Whitnall,Elisabeth Oswaldonstruction from the overall situation of power grid construction, which makes it difficult to meet the personalized needs of power grid digital projects. This paper first analyzes the microservice architecture and the characteristics and application scenarios of power grid enterprise middle office.
17#
發(fā)表于 2025-3-24 12:37:51 | 只看該作者
18#
發(fā)表于 2025-3-24 17:28:10 | 只看該作者
19#
發(fā)表于 2025-3-24 20:08:20 | 只看該作者
20#
發(fā)表于 2025-3-25 00:53:46 | 只看該作者
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