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Intelligent Systems in Science and Information 2014

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Kohei Arai

    1. Graduate School of Science and Engineering, Saga University, Saga, Japan

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  2. Supriya Kapoor

    1. The Science and Information (SAI) Organization, London, United Kingdom

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    You can also search for this editor in PubMed   Google Scholar

  3. Rahul Bhatia

    1. The Science and Information (SAI) Organization, London, United Kingdom

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  • Results of the Science and Information Conference 2014, held at August 27-29 2014, London, UK
  • Presents recent research in Intelligent Systems in Science and Information
  • Written by experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 591)

Included in the following conference series:

Conference proceedings info: CVC 2019.

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Table of contents (25 papers)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Computer Input by Human Eyes Only and It’s Applications

    • Kohei Arai
    Pages 1-22

  3. New Ideas for Brain Modelling 2

    • Kieran Greer
    Pages 23-39

  4. Neural-like Growing Networks the Artificial Intelligence Basic Structure

    • Vitaliy Yashchenko
    Pages 41-55

  5. Detection of Privilege Abuse in RBAC Administered Database

    • Udai Pratap Rao, Nikhil Kumar Singh
    Pages 57-76

  6. Learning-Based Leaf Image Recognition Frameworks

    • Jou-Ken Hsiao, Li-Wei Kang, Ching-Long Chang, Chih-Yang Lin
    Pages 77-91

  7. Massively Parallel Feature Selection Based on Ensemble of Filters and Multiple Robust Consensus Functions for Cancer Gene Identification

    • Anouar Boucheham, Mohamed Batouche
    Pages 93-108

  8. Relationship Discovery and Navigation in Big Graphs

    • Ján MojžiÅ¡, Michal Laclavík
    Pages 109-123

  9. A Fuzzy System for Three-Factor, Non-textual Authentication

    • James Stockdale, Alex Vakaloudis, Juan Manuel Escaño, Jian Liang, Brian Cahill
    Pages 125-137

  10. Efficient Graph-Based Volumetric Segmentation

    • Dumitru Dan Burdescu, Marius Brezovan, Liana Stanescu, Cosmin Stoica Spahiu
    Pages 139-161

  11. A Hybrid Intelligent System in Cultural Intelligence

    • Zhao Xin Wu, Li Zhou
    Pages 163-176

  12. Semantic-Based Recommender System with Human Feeling Relevance Measure

    • David Werner, Thomas Hassan, Aurelie Bertaux, Christophe Cruz, Nuno Silva
    Pages 177-191

  13. Alignment of Time Series for Subsequence-to-Subsequence Time Series Matching

    • Vineetha Bettaiah, Heggere S. Ranganath
    Pages 193-208

  14. The Effects of Typing Demand on Emotional Stress, Mouse and Keystroke Behaviours

    • Yee Mei Lim, Aladdin Ayesh, Martin Stacey
    Pages 209-225

  15. Friend Recommendation in a Social Bookmarking System: Design and Architecture Guidelines

    • Matteo Manca, Ludovico Boratto, Salvatore Carta
    Pages 227-242

  16. Quantum Behaved Genetic Algorithm: Constraints-Handling and GPU Computing

    • Amgad M. Mohammed, N. A. Elhefnawy, Mahmoud M. El-Sherbiny, Mohiy M. Hadhoud
    Pages 243-259

  17. A Genetic Algorithm Approach for Optimizing a Single-Finger Arabic Keyboard Layout

    • Nourah Alswaidan, Manar I. Hosny, Abir Benabid Najjar
    Pages 261-277

  18. Dynamic Well Bottom-Hole Flowing Pressure Prediction Based on Radial Basis Neural Network

    • Paras Q. Memon, Suet-Peng Yong, William Pao, Jion Sean Pau
    Pages 279-292

  19. Modeling Energy Consumption in a Educational Building: Comparative Study Between Linear Regression, Fuzzy Set Theory and Neural Networks

    • Henrique Pombeiro, Carlos Silva
    Pages 293-307

  20. Delivering Faster Results Through Parallelisation and GPU Acceleration

    • Matthew Newall, Violeta Holmes, Colin Venters, Paul Lunn
    Pages 309-320
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Other volumes

  1. Intelligent Systems in Science and Information 2014

  2. Advances in Computer Vision

  3. Advances in Computer Vision

Keywords

About this book

The book Intelligent Systems in Science and Information 2014 is  the carefully edited collection of 25 extended chapters from selected papers in the field of Computational Intelligence that , which received highly recommended feedback during the Science and Information Conference (SAI) 2014 review process. All chapters have gone through substantial extension and consolidation and were subject to another round of rigorous review and additional modification and represent the state of the art of the cutting-edge research and technologies in the related areas.

Editors and Affiliations

  • Graduate School of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  • The Science and Information (SAI) Organization, London, United Kingdom

    Supriya Kapoor, Rahul Bhatia

Bibliographic Information

  • Book Title: Intelligent Systems in Science and Information 2014

  • Editors: Kohei Arai, Supriya Kapoor, Rahul Bhatia

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-14654-6

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-14653-9Published: 19 March 2015

  • Softcover ISBN: 978-3-319-35678-5Published: 06 October 2016

  • eBook ISBN: 978-3-319-14654-6Published: 13 February 2015

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: IX, 415

  • Number of Illustrations: 151 b/w illustrations, 13 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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