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Titlebook: Evolution in Signal Processing and Telecommunication Networks; Proceedings of Sixth P. Satish Rama Chowdary,Jaume Anguera,Vikrant Bhat Conf

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書目名稱Evolution in Signal Processing and Telecommunication Networks
副標(biāo)題Proceedings of Sixth
編輯P. Satish Rama Chowdary,Jaume Anguera,Vikrant Bhat
視頻videohttp://file.papertrans.cn/318/317702/317702.mp4
概述Provides rich and authentic literature in the areas of electronics and telecommunication.Shows the results of ICMEET 2021 held in Bhubaneswar, Odisha, India, during August 2021.Presents novel papers o
叢書名稱Lecture Notes in Electrical Engineering
圖書封面Titlebook: Evolution in Signal Processing and Telecommunication Networks; Proceedings of Sixth P. Satish Rama Chowdary,Jaume Anguera,Vikrant Bhat Conf
描述This book discusses the latest developments and outlines future trends in the fields of microelectronics, electromagnetics and telecommunication. It contains original research works presented at the International Conference on Microelectronics, Electromagnetics and Telecommunication (ICMEET 2021), held in Bhubaneswar, Odisha, India during 27–28 August, 2021. The papers were written by scientists, research scholars and practitioners from leading universities, engineering colleges and R&D institutes from all over the world and share the latest breakthroughs in and promising solutions to the most important issues facing today’s society.
出版日期Conference proceedings 2022
關(guān)鍵詞Signal; Image and Video Processing; Analog and Digital Communication; Antenna and Telecommunication Net
版次1
doihttps://doi.org/10.1007/978-981-16-8554-5
isbn_softcover978-981-16-8556-9
isbn_ebook978-981-16-8554-5Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Matthias Gross,Harald Heinrichsaccurately. The data set contain a total of 5365 images. In this, we used 80% of data for the training and 20% for validation. The accuracy obtained in classification of three classes is 96.67% and for four classes, the accuracy is 91%. We have also used another model for comparison which ResNet50 a
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Analysis of Throughput and Spectral Efficiency of the CR Users with Channel Allocation,tor, and analysis is performed for CRN which consists of primary users and CR users. Further, these parameters are evaluated for varying length of channel bandwidth. Network delay time and payload are also demonstrated for varying number of channels.
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Detection of COVID-19 and Classification of Pneumonia Using Deep Neural Networks Algorithms,accurately. The data set contain a total of 5365 images. In this, we used 80% of data for the training and 20% for validation. The accuracy obtained in classification of three classes is 96.67% and for four classes, the accuracy is 91%. We have also used another model for comparison which ResNet50 a
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Hybridization of RF Switch and Related Aspects,bigger footprint and reliability. Hybridization of the circuit results in overcoming these issues. It also needs development of various new process, selection of components, package, layouting etc., which play a very important role in reliable switch development. Thin film technology is employed for
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