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

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书目名称Artificial Intelligence for Communications and Networks影响因子(影响力)




书目名称Artificial Intelligence for Communications and Networks影响因子(影响力)学科排名




书目名称Artificial Intelligence for Communications and Networks网络公开度




书目名称Artificial Intelligence for Communications and Networks网络公开度学科排名




书目名称Artificial Intelligence for Communications and Networks被引频次




书目名称Artificial Intelligence for Communications and Networks被引频次学科排名




书目名称Artificial Intelligence for Communications and Networks年度引用




书目名称Artificial Intelligence for Communications and Networks年度引用学科排名




书目名称Artificial Intelligence for Communications and Networks读者反馈




书目名称Artificial Intelligence for Communications and Networks读者反馈学科排名

混沌

978-3-030-22970-2ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Enrage

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

paragon

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

INCH

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

HAWK

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

cacophony

Innocence

地牢

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

biosphere