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Titlebook: Advances in Bioinformatics, Multimedia, and Electronics Circuits and Signals; Proceedings of GUCON Lakhmi C. Jain,Maria Virvou,Valentina‘E.

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發(fā)表于 2025-3-21 16:37:32 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Bioinformatics, Multimedia, and Electronics Circuits and Signals
期刊簡稱Proceedings of GUCON
影響因子2023Lakhmi C. Jain,Maria Virvou,Valentina‘E. Balas
視頻videohttp://file.papertrans.cn/147/146908/146908.mp4
發(fā)行地址Features the most outstanding research papers presented at GUCON 2019.Discusses the latest findings in bioinformatics, multimedia, and electronics circuits and signals.Serves as a reference resource f
學科分類Advances in Intelligent Systems and Computing
圖書封面Titlebook: Advances in Bioinformatics, Multimedia, and Electronics Circuits and Signals; Proceedings of GUCON Lakhmi C. Jain,Maria Virvou,Valentina‘E.
影響因子The book features selected high-quality papers presented in International Conference on Computing, Power and Communication Technologies 2019 (GUCON 2019), organized by Galgotias University, India, in September 2019. Discussing in detail topics related to electronics devices, circuits and systems; signal processing; and bioinformatics, multimedia and machine learning, the papers in this book provide interesting reading for researchers, engineers, and students.
Pindex Conference proceedings 2020
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書目名稱Advances in Bioinformatics, Multimedia, and Electronics Circuits and Signals影響因子(影響力)




書目名稱Advances in Bioinformatics, Multimedia, and Electronics Circuits and Signals影響因子(影響力)學科排名




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書目名稱Advances in Bioinformatics, Multimedia, and Electronics Circuits and Signals被引頻次




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,Grundlagen der Finanzbuchführung,ance of a PMN-PT-based multiferroic nanomagnet using the micromagnetic simulation software OOMMF. This work would pave way for potential applications of nanomagnet-based straitronics in modern devices.
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Buchführung 1 DATEV-Kontenrahmen 2018 180?nm CMOS process parameters. Performance of this amplifier when compared with CFRFC amplifier shows 202.9% GBW, 15.1?dB dc gain improvement with 30?pF load. The proposed amplifier has low fabrication cost and less verification time.
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Manfred Bornhofen,Martin C. Bornhofensification accuracy was comparable to the state-of-the-art ranging from 70.12 to 79.22%. In this work, we suggested that the Na?ve Bayes algorithm is an optimal algorithm, which is good in terms of accuracy as well as running time complexity.
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https://doi.org/10.1007/978-3-658-30317-48.32% has been achieved for the training dataset, and 74.66%, on the test data. These results are comparable to results reported in earlier research but have been obtained without any feature extraction or post-processing.
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Conference proceedings 202019), organized by Galgotias University, India, in September 2019. Discussing in detail topics related to electronics devices, circuits and systems; signal processing; and bioinformatics, multimedia and machine learning, the papers in this book provide interesting reading for researchers, engineers,
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