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Titlebook: Emerging Trends and Advanced Technologies for Computational Intelligence; Extended and Selecte Liming Chen,Supriya Kapoor,Rahul Bhatia Book

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发表于 2025-3-21 19:15:12 | 显示全部楼层 |阅读模式
书目名称Emerging Trends and Advanced Technologies for Computational Intelligence
副标题Extended and Selecte
编辑Liming Chen,Supriya Kapoor,Rahul Bhatia
视频video
概述Presents recent research in Intelligent Systems in Science and Information.Carefully selected and edited papers originating from the Science and Information Conference 2015, held at July 28-30 2015, L
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Emerging Trends and Advanced Technologies for Computational Intelligence; Extended and Selecte Liming Chen,Supriya Kapoor,Rahul Bhatia Book
描述.This book is a collection of extended chaptersfrom the selected papers that were published in the proceedings of Science andInformation (SAI) Conference 2015. It contains twenty-one chapters in the fieldof Computational Intelligence, which received highly recommended feedbackduring SAI Conference 2015 review process. During the three-day event 260scientists, technology developers, young researcher including PhD students, andindustrial practitioners from 56 countries have engaged intensively inpresentations, demonstrations, open panel sessions and informal discussions. .
出版日期Book 2016
关键词Ambient Intelligence; Computational Intelligence; Human Computer Interaction; Intelligent Systems; SAI 2
版次1
doihttps://doi.org/10.1007/978-3-319-33353-3
isbn_softcover978-3-319-81491-9
isbn_ebook978-3-319-33353-3Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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Designing, Implementing and Testing an Automated Trading Strategy Based on Dynamic Bayesian Networkidentify predictive trend patterns in foreign exchange orden-driven markets. The proposed DNB allows simultaneously to represent expert knowledge of skilled traders in a model structure and to learn computationally from data information that reflects relevant market sentiment dynamics. The DBN is de
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Modelling and Detection of User Activity Patterns for Energy Saving in Buildings,matical modelling and data from wireless ambient sensors, we can model human behaviour patterns and use the information to regulate building management systems (BMS) in order to achieve the best trade-off between user comfort and energy efficiency. Furthermore, streaming sensor data can be used to p
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