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Titlebook: International Conference on Intelligent Computing and Applications; ICICA 2016 Subhransu Sekhar Dash,Swagatam Das,Bijaya Ketan Pa Conferenc

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書目名稱International Conference on Intelligent Computing and Applications
副標(biāo)題ICICA 2016
編輯Subhransu Sekhar Dash,Swagatam Das,Bijaya Ketan Pa
視頻videohttp://file.papertrans.cn/472/471403/471403.mp4
概述Discusses the latest advancements and explore the future directions in the emerging areas of Engineering and Technology.Presents original work, ideas, information, techniques and applications in the f
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: International Conference on Intelligent Computing and Applications; ICICA 2016 Subhransu Sekhar Dash,Swagatam Das,Bijaya Ketan Pa Conferenc
描述.The book?is a collection of best papers presented in?International Conference on Intelligent Computing and Applications (ICICA 2016) organized by Department of Computer Engineering, D.Y. Patil College of Engineering, Pune, India during 20-22 December 2016. The book presents original work, information, techniques and applications in the field of computational intelligence,?power and computing technology.?This volume also talks about image language processing, computer vision and pattern recognition, machine learning, data mining and computational life sciences, management of data including Big Data and analytics, distributed and mobile systems including grid and cloud infrastructure..
出版日期Conference proceedings 2018
關(guān)鍵詞ICICA 2016; Signal Processing; Intelligent Computing; Data Engineering; Cloud Computing; ICT for Educatio
版次1
doihttps://doi.org/10.1007/978-981-10-5520-1
isbn_softcover978-981-10-5519-5
isbn_ebook978-981-10-5520-1Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Singapore Pte Ltd. 2018
The information of publication is updating

書目名稱International Conference on Intelligent Computing and Applications影響因子(影響力)




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書目名稱International Conference on Intelligent Computing and Applications網(wǎng)絡(luò)公開度學(xué)科排名




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https://doi.org/10.1007/978-981-10-5520-1ICICA 2016; Signal Processing; Intelligent Computing; Data Engineering; Cloud Computing; ICT for Educatio
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Block Compressive Sampling and Wiener Curvelet Denoising Approach for Satellite Images, more memory and computing capacity. In classical satellite imaging system, conventional compression algorithms like JPEG were used. However, they are not very efficient in reducing the data rate. In order to overcome this, block compressive sensing (BCS) technique, reweighted sampling (RWS) are use
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Neural Deployment Algorithm for WSN: A Concept,nt has happened, and it is going on in the field of WSN. The importance of conservation of energy in WSN in most of its applications will provide the best scope for WSN development. Sufficient literatures are already carried for deployment of nodes leading to conservation of energy. One of the impor
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