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Titlebook: Computational Intelligence in Information Systems; Proceedings of the C Somnuk Phon-Amnuaisuk,Thien-Wan Au,Saiful Omar Conference proceedin

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发表于 2025-3-21 17:57:53 | 显示全部楼层 |阅读模式
书目名称Computational Intelligence in Information Systems
副标题Proceedings of the C
编辑Somnuk Phon-Amnuaisuk,Thien-Wan Au,Saiful Omar
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概述Includes recent research and applications of computational intelligence in information systems.Presents the proceedings of the Computational Intelligence in Information Systems Conference (CIIS 2016)
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Computational Intelligence in Information Systems; Proceedings of the C Somnuk Phon-Amnuaisuk,Thien-Wan Au,Saiful Omar Conference proceedin
描述This book constitutes the Proceedings of the Computational Intelligence in Information Systems conference (CIIS 2016), held in Brunei, November 18–20, 2016. The CIIS conference provides a platform for researchers to exchange the latest ideas and to present new research advances in general areas related to computational intelligence and its applications. The 26 revised full papers presented in this book have been carefully selected from 62 submissions. They cover a wide range of topics and application areas in computational intelligence and informatics.
出版日期Conference proceedings 2017
关键词Intelligent Systems; Computational Intelligence; Information Systems; CIIS 2016; Intelligent Computing
版次1
doihttps://doi.org/10.1007/978-3-319-48517-1
isbn_softcover978-3-319-48516-4
isbn_ebook978-3-319-48517-1Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Somnuk Phon-Amnuaisuk,Thien-Wan Au,Saiful OmarIncludes recent research and applications of computational intelligence in information systems.Presents the proceedings of the Computational Intelligence in Information Systems Conference (CIIS 2016)
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Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/c/image/232507.jpg
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Computational Intelligence in Information Systems978-3-319-48517-1Series ISSN 2194-5357 Series E-ISSN 2194-5365
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Große Aufgaben für die Personalentwicklungesults on a trial and error basis. In this work, we present a single fully-automatic version of an existing semi-supervised Fuzzy c-means clustering framework which uses genetically-modified prototypes (ssFCMGA). Initial prototypes are generated by GA to initialise the ssFCM algorithm without experi
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Personalentwicklung bei der Esso A.G.n (IAR). An application such as an intelligent smartphone for crowd monitoring using inbuilt sensors is used. Meanwhile, there are few algorithms to recognize abnormal behaviors that can lead to a stampede for mitigation of crowd disasters. This study proposed an improved stampede prediction model w
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Günter Heitbreder,Ralf Litzenberg(.-NN), backpropagation neural network, and naive Bayes — for image-based snake species identification problem. Conventionally, snake species identification is conducted manually based on the observation of the characteristics such head shape, body pattern, body color, and eyes shape. Images of 22 s
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