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Titlebook: Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Soc; Suresh Chandra Satapathy,A. Govardha

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書目名稱Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Soc
編輯Suresh Chandra Satapathy,A. Govardhan,J. K. Mandal
視頻videohttp://file.papertrans.cn/309/308265/308265.mp4
概述Latest research on ICT and critical infrastructure.Results of the 49th Annual Convention of the Computer Society of India, held 11-15 Dec 2014 in Hyderabad, India.Written by experts in the field
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Soc;  Suresh Chandra Satapathy,A. Govardha
描述.This volume contains 70 papers presented at CSI 2014: Emerging ICT for Bridging the Future: Proceedings of the 49.th. Annual Convention of Computer Society of India. The convention was held during 12-14, December, 2014 at Hyderabad, Telangana, India. This volume contains papers mainly focused on Machine Learning & Computational Intelligence, Ad hoc Wireless Sensor Networks and Networks Security, Data Mining, Data Engineering and Soft Computing..
出版日期Conference proceedings 2015
關(guān)鍵詞Communication Technology; Critical Infrastructure; ICT; Information Technology; Intelligent Computing
版次1
doihttps://doi.org/10.1007/978-3-319-13731-5
isbn_softcover978-3-319-13730-8
isbn_ebook978-3-319-13731-5Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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Performance Analysis of PBlock Algorithm Implemented Using SIMD Model to Attain Parallelism,sh algorithm using Single Instruction Multiple Data model which is named as PBlock and its implementation on a Symmetric Multi Processor machine along with the results of performance gains that we have obtained on a number of benchmark examples.
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G. Marius Clore,Angela M. Gronenborn(in terms of removal of fine structures) upon restoration. In context of magnitude Magnetic Resonance Images (MRI), where noise is approximated as Rician instead of additive Gaussian; denoising algorithms fail to produce satisfactory results. This paper presents a Non-Local Means (NLM) based filteri
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