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Titlebook: Artificial Intelligence for Communications and Networks; First EAI Internatio Shuai Han,Liang Ye,Weixiao Meng Conference proceedings 2019 I

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發(fā)表于 2025-3-21 18:05:56 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence for Communications and Networks
期刊簡稱First EAI Internatio
影響因子2023Shuai Han,Liang Ye,Weixiao Meng
視頻videohttp://file.papertrans.cn/163/162352/162352.mp4
學(xué)科分類Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
圖書封面Titlebook: Artificial Intelligence for Communications and Networks; First EAI Internatio Shuai Han,Liang Ye,Weixiao Meng Conference proceedings 2019 I
影響因子.This two-volume set LNICST 286-287 constitutes the post-conference proceedings of the First EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2019, held in Harbin, China, in May 2019. The 93 full papers were carefully reviewed and selected from 152 submissions. The papers are organized in topical sections on artificial intelligence, mobile network, deep learning, machine learning, wireless communication, cognitive radio, internet of things, big data, communication system, pattern recognition, channel model, beamforming, signal processing, 5G, mobile management, resource management, wireless position..
Pindex Conference proceedings 2019
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書目名稱Artificial Intelligence for Communications and Networks影響因子(影響力)




書目名稱Artificial Intelligence for Communications and Networks影響因子(影響力)學(xué)科排名




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沙發(fā)
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978-3-030-22970-2ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019
板凳
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https://doi.org/10.1007/978-3-322-93854-1perform “shallow learning” and cannot perform deep mining of data features. Aiming at this problem, we use the stacked denoising auto-encoder (SDAE) to superimpose into deep neural network. First, the deep network model was built through the stacked layers of denoising auto-encoder (DAE), then the u
地板
發(fā)表于 2025-3-22 04:33:23 | 只看該作者
https://doi.org/10.1007/978-3-663-14126-6terference with enemy radars is of great importance for taking the lead in the battlefield. The evaluation of the synergistic interference effect is an important indicator to measure the performance of the interference equipment. According to the evaluation result, the interference strategy can be c
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https://doi.org/10.1007/978-3-663-14126-6tion methods, ACE-BOC & TD-AltBOC have been brought forward by scholars. The navigation performances of them are aimed to be compared in this paper. Based on analyzing of the power spectrum density function of these two modulation methods, their main navigation performances of code tracking precisio
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發(fā)表于 2025-3-22 16:22:20 | 只看該作者
https://doi.org/10.1007/978-3-663-14126-6world and forms a network with everything. In recent years, smart home gradually enters into our life. Smart home uses the Internet of things technology to connect all kinds of devices in the home, to achieve a smart home environment. Although the development of smart home has brought a qualitative
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https://doi.org/10.1007/978-3-663-14126-6 time, it has brought about a lot of challenges. Personal information security is one of them. In the big data era, massive amounts of personal information are continuously input, simultaneously, the means of illegally acquiring, disseminating, and applying personal information are emerging in endle
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