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Titlebook: Advances in Electrical and Computer Technologies; Select Proceedings o Thangaprakash Sengodan,M. Murugappan,Sanjay Misra Conference proceed

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發(fā)表于 2025-3-21 18:09:10 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Electrical and Computer Technologies
期刊簡稱Select Proceedings o
影響因子2023Thangaprakash Sengodan,M. Murugappan,Sanjay Misra
視頻videohttp://file.papertrans.cn/148/147917/147917.mp4
發(fā)行地址Covers latest research in different areas of electrical, electronics and communications systems.Includes applications of modern computing techniques and AI.Presents select papers from the internationa
學科分類Lecture Notes in Electrical Engineering
圖書封面Titlebook: Advances in Electrical and Computer Technologies; Select Proceedings o Thangaprakash Sengodan,M. Murugappan,Sanjay Misra Conference proceed
影響因子This book comprises select proceedings of the International Conference on Advances in Electrical and Computer Technologies 2020 (ICAECT 2020). The papers presented in this book are peer-reviewed and cover latest research in electrical, electronics, communication and computer engineering. Topics covered include smart grids, soft computing techniques in power systems, smart energy management systems, power electronics, feedback control systems, biomedical engineering, geo informative systems, grid computing, data mining, image and signal processing, video processing, computer vision, pattern recognition, cloud computing, pervasive computing, intelligent systems, artificial intelligence, neural network and fuzzy logic, broad band communication, mobile and optical communication, network security, VLSI, embedded systems, optical networks and wireless communication. The volume can be useful for students and researchers working in the different overlapping areas of electrical, electronics andcommunication engineering..
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Characteristic Based Planning Overview,o performance of these models are evaluated using stochastic gradient descent (SGD) with momentum and adaptive moment (AdaM) optimizers. Experimental results show that VGG19 outperforms VGG16 by obtaining an average classification accuracy of 97%.
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Characterisation of Turbulent Duct Flowsing task. In this study, graph clustering tools are reviewed. Experiments are performed on few graph clustering tools for further comparative study. Graph clustering tools mainly Gephi and Tableau are considered for experiment purpose. The comparison is based on visualization and clustering effect in both tools.
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Make-to-Order with Variant Configuration,tering problem in order to enhance clustering efficiency. The experimental outcome confirmed that the proposed hybrid FCM-FSSO clustering algorithms reveal improved performance compared with FCM and FSSO.
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https://doi.org/10.1007/978-1-4614-6274-3s deployed to implement the same attack on tor exit node. Our study shows that covertness of the attack can be improvised by varying the central processing unit usage of the victim during mining to avoid detection. The existing defensive mechanism to prevent this attack is also reviewed.
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