Advances in Information and Communication

1. Front Matter

   Pages i-xiv

   PDF

2. Contextual Binding: A Deductive Apparatus in Artificial Neural Networks

   • Jim Q. Chen

   Pages 1-10

3. Intelligent Signal Classifier for Brain Epileptic EEG Based on Decision Tree, Multilayer Perceptron and Over-Sampling Approach

   • Jimmy Ming-Tai Wu, Meng-Hsiun Tsai, Chia-Te Hsu, Hsien-Chung Huang, Hsiang-Chun Chen

   Pages 11-24

4. Korean-Optimized Word Representations for Out-of-Vocabulary Problems Caused by Misspelling Using Sub-character Information

   • Seonhghyun Kim, Jai-Eun Kim, Seokhyun Hawang, Berlocher Ivan, Seung-Won Yang

   Pages 25-32

5. A Regressive Convolution Neural Network and Support Vector Regression Model for Electricity Consumption Forecasting

   • Youshan Zhang, Qi Li

   Pages 33-45

6. Facial Expression Recognition and Analysis of Interclass False Positives Using CNN

   • Junaid Baber, Maheen Bakhtyar, Kafil Uddin Ahmed, Waheed Noor, Varsha Devi, Abdul Sammad

   Pages 46-54

7. CASCADENET: An LSTM Based Deep Learning Model for Automated ICD-10 Coding

   • Sheikh Shams Azam, Manoj Raju, Venkatesh Pagidimarri, Vamsi Chandra Kasivajjala

   Pages 55-74

8. Automated Gland Segmentation Leading to Cancer Detection for Colorectal Biopsy Images

   • Syed Fawad Hussain Naqvi, Salahuddin Ayubi, Ammara Nasim, Zeeshan Zafar

   Pages 75-83

9. A Two-Fold Machine Learning Approach for Efficient Day-Ahead Load Prediction at Hourly Granularity for NYC

   • Syed Shahbaaz Ahmed, Raghavendran Thiruvengadam, A. S. Shashank Karrthikeyaa , Vineeth Vijayaraghavan

   Pages 84-97

10. A Classical-Quantum Hybrid Approach for Unsupervised Probabilistic Machine Learning

    • Prasanna Date, Catherine Schuman, Robert Patton, Thomas Potok

    Pages 98-117

11. Comparing TensorFlow Deep Learning Performance and Experiences Using CPUs via Local PCs and Cloud Solutions

    • Robert Nardelli, Zachary Dall, Sotiris Skevoulis

    Pages 118-130

12. An Efficient Segmentation Technique for Urdu Optical Character Recognizer (OCR)

    • Saud Ahmed Malik, Muazzam Maqsood, Farhan Aadil, Muhammad Fahad Khan

    Pages 131-141

13. Adaptive Packet Routing on Communication Networks Based on Reinforcement Learning

    • Tanyaluk Deeka, Boriboon Deeka, Surajate On-rit

    Pages 142-151

14. ScaffoldNet: Detecting and Classifying Biomedical Polymer-Based Scaffolds via a Convolutional Neural Network

    • Darlington Ahiale Akogo, Xavier-Lewis Palmer

    Pages 152-161

15. Transfer Learning for Cross-Domain Sequence Tagging Tasks

    • Meng Cao, Chaohe Zhang, Dancheng Li, Qingping Zheng, Ling Luo

    Pages 162-173

16. Ensemble Models for Enhancement of an Arabic Speech Emotion Recognition System

    • Rached Zantout, Samira Klaylat, Lama Hamandi, Ziad Osman

    Pages 174-187

17. Automating Vehicles by Deep Reinforcement Learning Using Task Separation with Hill Climbing

    • Mogens Graf Plessen

    Pages 188-210

18. Information Augmentation, Reduction and Compression for Interpreting Multi-layered Neural Networks

    • Ryotaro Kamimura

    Pages 211-223

19. Enhance Rating Algorithm for Restaurants

    • Jeshreen Balraj, Cassim Farook

    Pages 224-234

20. Reverse Engineering Creativity into Interpretable Neural Networks

    • Marilena Oita

    Pages 235-247

This book presents a remarkable collection of chapters that cover a wide range of topics in the areas of information and communication technologies and their real-world applications. It gathers the Proceedings of the Future of Information and Communication Conference 2019 (FICC 2019), held in San Francisco, USA from March 14 to 15, 2019. The conference attracted a total of 462 submissions from pioneering researchers, scientists, industrial engineers, and students from all around the world. Following a double-blind peer review process, 160 submissions (including 15 poster papers) were ultimately selected for inclusion in these proceedings.

The papers highlight relevant trends in, and the latest research on: Communication, Data Science, Ambient Intelligence, Networking, Computing, Security, and the Internet of Things. Further, they address all aspects of Information Science and communication technologies, from classical to intelligent, and both the theory and applications of the latesttechnologies and methodologies.

Gathering chapters that discuss state-of-the-art intelligent methods and techniques for solving real-world problems, along with future research directions, the book represents both an interesting read and a valuable asset.

• Cellular Networks
• Sensing and Sensor Networks
• Geographic Information Systems
• Cloud Networking
• Signal Processing
• Virtualization
• Machine to Machine (M2M)
• Cognitive Radio
• Body Area Networks
• Satellite and Optical Communication
• SAI
• FICC2019
• FICC

• Faculty of Science and Engineering, Saga University, Saga, Japan

  Kohei Arai

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

  Rahul Bhatia

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