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派博传思国际中心 »期刊书目

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Titlebook: Evolving Technologies for Computing, Communication and Smart World; Proceedings of ETCCS Pradeep Kumar Singh,Arti Noor,Shaweta Khanna Confe

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书目名称Evolving Technologies for Computing, Communication and Smart World
副标题Proceedings of ETCCS
编辑Pradeep Kumar Singh,Arti Noor,Shaweta Khanna
视频video
概述Presents research works in the field of smart computing and communication.Discusses results of ETCCS 2020 held at C-DAC, Noida, India.Serves as a reference for researchers and practitioners in academi
丛书名称Lecture Notes in Electrical Engineering
图书封面Titlebook: Evolving Technologies for Computing, Communication and Smart World; Proceedings of ETCCS Pradeep Kumar Singh,Arti Noor,Shaweta Khanna Confe
描述This book presents best selected papers presented at the International Conference on Evolving Technologies for Computing, Communication and Smart World (ETCCS 2020) held on 31 January–1 February 2020 at C-DAC, Noida, India. It is co-organized by Southern Federal University, Russia; University of Jan Wyżykowski (UJW), Polkowice, Poland; and CSI, India. C-DAC, Noida received funding from MietY during the event.  The technical services are supported through EasyChair, Turnitin, MailChimp and IAC Education. The book includes current research works in the areas of network and computing technologies, wireless networks and Internet of things (IoT), futuristic computing technologies, communication technologies, security and privacy.
出版日期Conference proceedings 2021
关键词Computing Technologies; Network and Computing Technologies; Wireless Networks; Internet of Everything; S
版次1
doihttps://doi.org/10.1007/978-981-15-7804-5
isbn_softcover978-981-15-7806-9
isbn_ebook978-981-15-7804-5Series 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
The information of publication is updating

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https://doi.org/10.1057/978-1-137-59753-3e reusability. It is found that machine learning techniques are competitive in nature with other reusability estimation techniques and can be used for estimation of reusability. This study will help software developers and information industry to elucidate that how software reusability can assist them in selecting advanced quality of software.
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https://doi.org/10.1007/978-3-642-74179-1considerations to achieve better performance as compared to competitive baselines. On a real-world dataset of only a few hundred patients, we show the effectiveness of these design choices and report an accuracy of 75% in determining whether a patient suffers from hypertension.
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Injecting Power Attacks with Voltage Glitching and Generation of Clock Attacks for Testing Fault In and sequential circuits so that countermeasures can be built in future in order to have attack-resistant devices. The paper emphasizes the perspective from the attacker, rather than the perspective of countermeasure development.
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Questionnaire-Based Prediction of Hypertension Using Machine Learning,considerations to achieve better performance as compared to competitive baselines. On a real-world dataset of only a few hundred patients, we show the effectiveness of these design choices and report an accuracy of 75% in determining whether a patient suffers from hypertension.
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