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Titlebook: Emerging Research in Computing, Information, Communication and Applications; ERCICA 2018, Volume N. R. Shetty,L. M. Patnaik,N. Nalini Conf

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書目名稱Emerging Research in Computing, Information, Communication and Applications
副標(biāo)題ERCICA 2018, Volume
編輯N. R. Shetty,L. M. Patnaik,N. Nalini
視頻videohttp://file.papertrans.cn/309/308352/308352.mp4
概述Presents advances in emerging areas of communications and information technology.Includes contributions from leading experts.Discusses theoretical and practical aspects of the thrust areas of ERCICA 2
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: Emerging Research in Computing, Information, Communication and Applications; ERCICA 2018, Volume  N. R. Shetty,L. M. Patnaik,N. Nalini Conf
描述.This book presents selected papers from the International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2018. The conference provided an interdisciplinary forum for researchers, professional engineers and scientists, educators, and technologists to discuss, debate and promote research and technology in the emerging areas of computing, information, communication and their applications. The book discusses these research areas, providing a valuable resource for researchers and practicing engineers alike..
出版日期Conference proceedings 2019
關(guān)鍵詞Computing; Communication; Information Science; Information theory and management; Computational Intellig
版次1
doihttps://doi.org/10.1007/978-981-13-5953-8
isbn_softcover978-981-13-5952-1
isbn_ebook978-981-13-5953-8Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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Developing Ontology for Smart Irrigation of Vineyards,r explains ontology built for resources used under smart irrigation system. It suggests how smart irrigation systems can be built by grape growers by utilizing vineyard ontology and smart irrigation ontology.
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DigiPen: An Intelligent Pen Using Accelerometer for Character Recognition, remember longer sequences. Multiple LSTM models with a different number of layers and sizes with different activation functions and dropout values were trained and tested for performance and we were able to achieve a test accuracy of 47% on a fairly small dataset which far exceeds the 10% accuracy
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Multi-language Handwritten Recognition in DWT Accuracy Analysis, to separate among male and female handwriting recognition compositions. The execution of the proposed framework was assessed on two databases, HWSC and TST1, inside various testing exploratory situations and acknowledged arrangement rates of up to 94.07%.
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,Die Variabilit?t des Verhaltens,r explains ontology built for resources used under smart irrigation system. It suggests how smart irrigation systems can be built by grape growers by utilizing vineyard ontology and smart irrigation ontology.
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