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Titlebook: Wireless and Satellite Systems; 13th EAI Internation Jun Zhao Conference proceedings 2023 ICST Institute for Computer Sciences, Social Info

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发表于 2025-3-21 18:09:15 | 显示全部楼层 |阅读模式
书目名称Wireless and Satellite Systems
副标题13th EAI Internation
编辑Jun Zhao
视频video
丛书名称Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
图书封面Titlebook: Wireless and Satellite Systems; 13th EAI Internation Jun Zhao Conference proceedings 2023 ICST Institute for Computer Sciences, Social Info
描述This book constitutes the refereed post-conference proceedings of the 13.th. International Conference on Wireless and Satellite Services, WiSATS  2022, held in March 12-13, 2023. Due to COVID-19 pandemic the conference was held virtually.. The 9 full papers were carefully reviewed and selected from 23 submissions. They were organized in topical sections as follows: Security and Privacy in Healthcare, Transportation, and Satellite Networks,  Advanced Technologies in Wireless Communication Systems, Network Efficiency and Reliability..
出版日期Conference proceedings 2023
关键词Informatics; computer science; computer networks; computer security; control path algorithms; network pro
版次1
doihttps://doi.org/10.1007/978-3-031-34851-8
isbn_softcover978-3-031-34850-1
isbn_ebook978-3-031-34851-8Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2023
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Wireless and Satellite Systems978-3-031-34851-8Series ISSN 1867-8211 Series E-ISSN 1867-822X
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1867-8211 SATS  2022, held in March 12-13, 2023. Due to COVID-19 pandemic the conference was held virtually.. The 9 full papers were carefully reviewed and selected from 23 submissions. They were organized in topical sections as follows: Security and Privacy in Healthcare, Transportation, and Satellite Networ
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A Robust Beamforming Algorithm for Satellite Communicationzimuth adjustment algorithm to overcome the performance loss caused by the unpredictable elevation angle’s variation. Simulation results reveal that the total SNR reduction is less than 0.18dB when the elevation angle changes up to ., which demonstrates the robustness of our proposed algorithm.
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Study on Detection of Vascular Inner Wall with IVUS Imagelear enough usually, it is difficult to detect the inner wall of the blood vessels. It further affects the diagnosis results. In view of this situation, we first applies the pseudo-color enhancement algorithm to enhance the image; Second, the images were dichotomized by Support Vector Classification
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