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Intelligent Computing

Proceedings of the 2018 Computing Conference, Volume 2

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Kohei Arai

    1. Faculty of Science and Engineering, Department of Information Science, Saga University, Honjo, Japan

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  2. Supriya Kapoor

    1. The Science and Information (SAI) Organization, Bradford, UK

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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, Bradford, UK

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    You can also search for this editor in PubMed   Google Scholar

  • Presents state of the art chapters on all aspects of Intelligent Computing
  • Covers both the theory and applications for latest technologies and methodologies
  • Proceedings of the Computing Conference 2018 held in London, United Kingdom, on July 10-12, 2018

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 857)

Included in the following conference series:

Conference proceedings info: SAI 2018.

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Table of contents (104 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Statistical Learning of Lattice Option Pricing and Traders’ Behavior Using Ising Spin Model for Asymmetric Information Transitions

    • Prabir Sen, Nang Laik Ma
    Pages 1-17

  3. Deep Time Series Neural Networks and Fluorescence Data Stream Noise Detection

    • James Obert, Matthew Ferguson
    Pages 18-32

  4. Controlled Under-Sampling with Majority Voting Ensemble Learning for Class Imbalance Problem

    • Riyaz Sikora, Sahil Raina
    Pages 33-39

  5. Optimisation of Hadoop MapReduce Configuration Parameter Settings Using Genetic Algorithms

    • Ali Khaleel, H. S. Al-Raweshidy
    Pages 40-52

  6. Fast Interpolation and Fourier Transform in High-Dimensional Spaces

    • Michael Hecht, Ivo F. Sbalzarini
    Pages 53-75

  7. A Reconfigurable Architecture for Implementing Locally Connected Neural Arrays

    • J. E. G-H-Cater, C. T. Clarke, B. W. Metcalfe, P. R. Wilson
    Pages 76-92

  8. Minimum Spanning Tree Problem with Single-Valued Trapezoidal Neutrosophic Numbers

    • Said Broumi, Mohamed Talea, Assia Bakali, Florentin Smarandache, Santanu Kumar Patro
    Pages 93-105

  9. Hybrid Evolutionary Algorithm Based on PSOGA for ANFIS Designing in Prediction of No-Deposition Bed Load Sediment Transport in Sewer Pipe

    • Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj
    Pages 106-118

  10. Extreme Learning Machines in Predicting the Velocity Distribution in Compound Narrow Channels

    • Hossein Bonakdari, Bahram Gharabaghi, Isa Ebtehaj
    Pages 119-128

  11. Rice Classification Using Scale Conjugate Gradient (SCG) Backpropagation Model and Inception V3 Model

    • Zahida Parveen, Yumnah Hasan, Anzar Alam, Hafsa Abbas, Muhammad Umair Arif
    Pages 129-141

  12. A Machine Learning Approach to Analyze and Reduce Features to a Significant Number for Employee’s Turn Over Prediction Model

    • Mirza Mohtashim Alam, Karishma Mohiuddin, Md. Kabirul Islam, Mehedi Hassan, Md. Arshad-Ul Hoque, Shaikh Muhammad Allayear
    Pages 142-159

  13. Legal Document Retrieval Using Document Vector Embeddings and Deep Learning

    • Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva, Amal Shehan Perera, Vindula Jayawardana, Dimuthu Lakmal et al.
    Pages 160-175

  14. Deep Learning Based Classification System for Identifying Weeds Using High-Resolution UAV Imagery

    • M. Dian Bah, Eric Dericquebourg, Adel Hafiane, Raphael Canals
    Pages 176-187

  15. Recognition of Heart Murmur Based on Machine Learning and Visual Based Analysis of Phonocardiography

    • Magd Ahmed Kotb, Hesham Nabih Elmahdy, Fatma El Zahraa Mostafa, Christine William Shaker, Mohamed Ahmed Refaey, Khaled Waleed Younis Rjoob
    Pages 188-202

  16. Activity Recognition from Multi-modal Sensor Data Using a Deep Convolutional Neural Network

    • Aboozar Taherkhani, Georgina Cosma, Ali A. Alani, T. M. McGinnity
    Pages 203-218

  17. Quality Scale for Rubric Based Evaluation in Capstone Project of Computer Science

    • Zeeshan Haider Malik, Sabur Butt, Hanzla Sajid
    Pages 219-233

  18. Transfer of Empirical Engineering Knowledge Under Technological Paradigm Shift

    • Xinyu Li, Zuhua Jiang, Yeqin Guan, Geng Li
    Pages 234-250

  19. Role of Digital Fluency and Spatial Ability in Student Experience of Online Learning Environments

    • Tatiana Tchoubar, Thomas R. Sexton, Lori L. Scarlatos
    Pages 251-264

  20. Identifying the Underlying Factors of Students’ Readiness for E-Learning in Studying English as a Foreign Language in Saudi Arabia: Students’ and Teachers’ Perspectives

    • Ibrahim M. Mutambik, John Lee, Yvonne Foley
    Pages 265-279
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Other volumes

  1. Intelligent Computing

  2. Intelligent Computing

Keywords

About this book

This book, gathering the Proceedings of the 2018 Computing Conference, offers a remarkable collection of chapters covering a wide range of topics in intelligent systems, computing and their real-world applications. The Conference attracted a total of 568 submissions from pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer review process. Of those 568 submissions, 192 submissions (including 14 poster papers) were selected for inclusion in these proceedings.
 
Despite computer science’s comparatively brief history as a formal academic discipline, it has made a number of fundamental contributions to science and society—in fact, along with electronics, it is a founding science of the current epoch of human history (‘the Information Age’) and a main driver of the Information Revolution. The goal of this conference is to provide a platform for researchers to present fundamental contributions, and to be a premier venue for academic and industry practitioners to share new ideas and development experiences.
  
This book collects state of the art chapters on all aspects of Computer Science, from classical to intelligent. It covers both the theory and applications of the latest computer technologies and methodologies.
  
Providing the state of the art in intelligent methods and techniques for solving real-world problems, along with a vision of future research, the book will be interesting and valuable for a broad readership.
  

Editors and Affiliations

  • Faculty of Science and Engineering, Department of Information Science, Saga University, Honjo, Japan

    Kohei Arai

  • The Science and Information (SAI) Organization, Bradford, UK

    Supriya Kapoor, Rahul Bhatia

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