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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 17:07:46 | 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/148/147919/147919.mp4
發(fā)行地址Comprises select proceedings of the International Conference on Advances in Electrical and Computer Technologies 2021.Covers the latest research in electrical, electronics, communication, and computer
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 2021 (ICAECT 2021). The papers presented in this book are peer-reviewed and cover the 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, geographic information 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, broadband communication, mobile and optical communication, network security, VLSI, embedded systems, optical networks, and wireless communication. The book is useful for students and researchers working in the different overlapping areas of electrical, electronics, and communication engineering..
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Application of XGBoost Algorithm for Sales Forecasting Using Walmart Dataset,n and exchange being affected. Whereas complete nationalisation so far exists only in the USSR, partial nationalisation is to be found in countries with the most diverse social and economic structures.
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PCA-Based Feature Extraction for Classification of Heart Disease,potent group, freely generated by a set ., has a “basis” consisting of basic commutators in .. The techniques used in this section involve groupoids, Lie rings, and the Magnus embedding. We end the chapter with Sect. 3.4, which is devoted to the rather technical proof of the collection formula obtained in Sect. 3.2.
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Automated Ultrasound Ovarian Tumour Segmentation and Classification Based on Deep Learning Techniquve surplus. If technological progress occurs, the surplus will be correspondingly greater. Labour growth increases, while technological progress decreases the amount of labour necessary for the production of the same final output and that must be born in mind. The problem will be reduced to bare essentials.
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