Intelligent Computing

1. Front Matter

   Pages i-xiv

   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

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.
  

• Cloud Computing
• High Performance Computing
• Distributed Computing
• Blockchain
• Artificial Intelligence
• Image Processing
• Biometrics
• Pattern Recognition
• Mobile Applications
• Natural Language Processing
• Sentiment Analysis
• Multi Agents System
• Feature Extraction

• 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

Policies and ethics