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Titlebook: Computing and Network Sustainability; Proceedings of IRSCN Sheng-Lung Peng,Nilanjan Dey,Mahesh Bundele Conference proceedings 2019 Springer

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書目名稱Computing and Network Sustainability
副標(biāo)題Proceedings of IRSCN
編輯Sheng-Lung Peng,Nilanjan Dey,Mahesh Bundele
視頻videohttp://file.papertrans.cn/235/234797/234797.mp4
概述Presents high quality peer-reviewed research papers from young researchers.Discusses the latest advances in computing and network sustainability.Presents a variety of applications of sustainable metho
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Computing and Network Sustainability; Proceedings of IRSCN Sheng-Lung Peng,Nilanjan Dey,Mahesh Bundele Conference proceedings 2019 Springer
描述.This book offers a compilation of technical papers presented at the International Research Symposium on Computing and Network Sustainability (IRSCNS 2018) held in Goa, India on 30–31st August 2018. It covers areas such as sustainable computing and security, sustainable systems and technologies, sustainable methodologies and applications, sustainable networks applications and solutions, user-centered services and systems and mobile data management. Presenting novel and recent technologies, it is a valuable resource for researchers and industry professionals alike..
出版日期Conference proceedings 2019
關(guān)鍵詞IRSCNS 2018; IRSCNS; Computing and Network Sustainability; Sustainable Methodologies; Sustainable Networ
版次1
doihttps://doi.org/10.1007/978-981-13-7150-9
isbn_ebook978-981-13-7150-9Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

書目名稱Computing and Network Sustainability影響因子(影響力)




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Adequacy Conditions and Failed Theoriesns, who possess respective expertise and are well aware of the domain jargons. The main objective of such systems is to get rid of the time-consuming, laborious manual process and to provide patent analysts a better way for classifying patent documents. Also it helps in better management, maintenanc
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Classifier Ensembling: Dataset Learning Using Bagging and Boosting,f tasks. In the following work, a classification technique is explained which considers the ensemble of classifiers for bagging and for boosting separately, where decision tree is used as the classifier for bagging and for boosting artificial neural network (ANN) is being used as the classifier. For
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Exploration and Implementation of Classification Algorithms for Patent Classification,ns, who possess respective expertise and are well aware of the domain jargons. The main objective of such systems is to get rid of the time-consuming, laborious manual process and to provide patent analysts a better way for classifying patent documents. Also it helps in better management, maintenanc
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