Titlebook: Computer Networks and Inventive Communication Technologies; Proceedings of Fifth S. Smys,Pavel Lafata,Khaled A. Kamel Conference proceeding

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書目名稱Computer Networks and Inventive Communication Technologies影響因子(影響力)




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書目名稱Computer Networks and Inventive Communication Technologies被引頻次學科排名




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書目名稱Computer Networks and Inventive Communication Technologies年度引用學科排名




書目名稱Computer Networks and Inventive Communication Technologies讀者反饋




書目名稱Computer Networks and Inventive Communication Technologies讀者反饋學科排名

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978-981-19-3034-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Computer Networks and Inventive Communication Technologies978-981-19-3035-5Series ISSN 2367-4512 Series E-ISSN 2367-4520

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S. Smys,Pavel Lafata,Khaled A. KamelPresents research works in the field of computer networks and inventive communication technologies.Provides original works presented at ICCNCT 2022 held in Coimbatore, India.Serves as a reference for

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Lecture Notes on Data Engineering and Communications Technologieshttp://image.papertrans.cn/c/image/233663.jpg

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Test-Driven Development in the Real World,s occurred by using this algorithm, and chaos mapping is introduced to solve the issues of trapping in local optimum. NS-2 tools are used and test the efficiency of the MCFA algorithm with ant colony optimization (ACO) in terms of path optimality, delay time, etc. The results prove that the proposed

Insulin

agglomerate

Testing Code Based on Indirect Inputs, the month of March 2020 that this unbeknownst coronavirus can be depicted as a pandemic. COVID-19 epidemic has guided to an operatic misplacement of deathly life over the public and presents an unbeknownst complaint to public fitness. It also affects the food systems of the person and the world of

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Test-Driven Development in the Real World,rks have been embraced in various network scenarios. The cells experience unloaded due to the random UEs mobility and cells deployment, which degrades the network performance such as handover success, throughput, and load distribution. We propose an enhanced cluster-based algorithm for small cell mo