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Intelligent Computing Paradigm and Cutting-edge Technologies

Proceedings of the First International Conference on Innovative Computing and Cutting-edge Technologies (ICICCT 2019), Istanbul, Turkey, October 30-31, 2019

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Lakhmi C. Jain

    1. University of Technology Sydney, Sydney, Australia

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  2. Sheng-Lung Peng

    1. CSIE Department, National Dong Hwa University, New Taipei City, Taiwan

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  3. Basim Alhadidi

    1. Al-Balqa’ Applied University, Salt, Jordan

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  4. Souvik Pal

    1. Department of Computer Science, Brainware University, Kolkata, India

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  • Covers a wide range of recent intelligent technologies, including computational intelligence and machine learning, big data and data analytics, high-performance computing, network and device security, Internet of Things (IoT), and IoT-based digital ecosystems, and discusses their impact on society and communication
  • Presents the proceedings of the First International Conference on Innovative Computing and Cutting-edge Technologies (ICICCT 2019), held in Istanbul, Turkey
  • Written by experts in the field

Part of the book series: Learning and Analytics in Intelligent Systems (LAIS, volume 9)

Included in the following conference series:

Conference proceedings info: ICICCT 2019.

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Table of contents (45 papers)

  1. Front Matter

    Pages i-xviii
    Download chapter PDF

  2. Brexit Twitter Sentiment Analysis: Changing Opinions About Brexit and UK Politicians

    • Muntazar Mahdi Chandio, Melike Sah
    Pages 1-11

  3. A Clustering Algorithm for Multi-density Datasets

    • Ahmed Fahim
    Pages 12-27

  4. Generate a New Types of Fuzzy \( \Psi _{i} \)-Operator

    • Raghad Almohammed, Luay A. AL-Swidi
    Pages 28-39

  5. Programs Features Clustering to Find Optimization Sequence Using Genetic Algorithm

    • Manal H. Almohammed, Esraa H. Alwan, Ahmed B. M. Fanfakh
    Pages 40-50

  6. Complex Event Processing Based Analysis of Cassini–Huygens Interplanetary Dataset

    • Ashraf ALDabbas, Zoltán Gál
    Pages 51-66

  7. Integrating OpenMTC Framework into OneM2M Architecture for a Secure IoT Environment

    • Mohammed Misbahuddin, Aditi Agrawal, Aishani Basu, Ankita Jain
    Pages 67-76

  8. Deep Convolutional Neural Networks for Human Activity Classification

    • Hamid Aksasse, Brahim Aksasse, Mohammed Ouanan
    Pages 77-87

  9. A Model to Forecast the Student’s Grade and Course Recommendation: A Case Vietnamese Students

    • Minh Tu Nho, Hoa-Huy Nguyen, Ton Quang Cuong, Viet Anh Nguyen
    Pages 88-97

  10. An Overview of Adopting Cloud Computing in E-Learning Systems

    • Thamer Al-Rousan, Bassam Al-Shargabi, Faisal Alzyoud
    Pages 98-102

  11. Hybrid Feature Selection Algorithm to Support Health Data Warehousing

    • Md. Badiuzzaman Biplob, Shahidul Islam Khan, Galib Ahasan Sheraji, Jubayed Ahmed Shuvo
    Pages 103-112

  12. A Survey on Methods of Ontology Learning from Text

    • Ravi Lourdusamy, Stanislaus Abraham
    Pages 113-123

  13. Improving Energy Consumption by Using DVFS

    • M. Iyapparaja, L. Abirami, M. Sathish Kumar
    Pages 124-132

  14. Educational Video Classification Using Fuzzy Logic Classifier Based on Arabic Closed Captions

    • Shadi R. Masadeh, Saba A. Soub
    Pages 133-138

  15. A Two-Level Authentication Protocol for Vehicular Adhoc Networks

    • M. Bhuvaneswari, B. Paramasivan, Hamza Aldabbas
    Pages 139-147

  16. Bengali Poem Generation Using Deep Learning Approach

    • Md. Kalim Amzad Chy, Md. Abdur Rahman, Abdul Kadar Muhammad Masum, Shayhan Ameen Chowdhury, Md. Golam Robiul Alam, Md. Shahidul Islam Khan
    Pages 148-157

  17. Incorporating Digital “Teach-nology” and Mobile Learning Application in Teacher Education in VNU, Hanoi

    • Ton Quang Cuong, Pham Kim Chung, Nguyen Thi Linh Yen, Le Thi Phuong
    Pages 158-166

  18. Whale Optimization Algorithm for Traffic Signal Scheduling Problem

    • Thaer Thaher, Baker Abdalhaq, Ahmed Awad, Amjad Hawash
    Pages 167-176

  19. Peer-to-Peer Lookup Process Based on Data Popularity

    • Sarra Cherbal, Bilal Lamraoui
    Pages 177-186

  20. Dynamic Cluster Based Connectivity Approach for Vehicular Adhoc Networks

    • Naskath Jahangeer, Paramasivan Balasubramanian, B. Shunmugapriya, Hamza Aldabbas
    Pages 187-197
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  1. Intelligent Computing Paradigm and Cutting-edge Technologies

Keywords

About this book

This book discusses fundamental and high-level concepts relating to intelligent computing and communications in the context of distributed computing, big data, high performance computing and the Internet of Things. It is becoming increasingly important to develop adaptive, intelligent, computing-centric, energy-aware, secure and privacy-aware mechanisms in high-performance computing and IoT applications. Serving as a useful guide for researchers and practitioners working in the field of information technology and computer science, the book also appeals to beginners wanting to learn more about the better computing paradigm. In addition, it provides a platform for researchers, engineers, academics and industry professionals from around the globe to share their research findings. 

Editors and Affiliations

  • University of Technology Sydney, Sydney, Australia

    Lakhmi C. Jain

  • CSIE Department, National Dong Hwa University, New Taipei City, Taiwan

    Sheng-Lung Peng

  • Al-Balqa’ Applied University, Salt, Jordan

    Basim Alhadidi

  • Department of Computer Science, Brainware University, Kolkata, India

    Souvik Pal

Bibliographic Information

  • Book Title: Intelligent Computing Paradigm and Cutting-edge Technologies

  • Book Subtitle: Proceedings of the First International Conference on Innovative Computing and Cutting-edge Technologies (ICICCT 2019), Istanbul, Turkey, October 30-31, 2019

  • Editors: Lakhmi C. Jain, Sheng-Lung Peng, Basim Alhadidi, Souvik Pal

  • Series Title: Learning and Analytics in Intelligent Systems

  • DOI: https://doi.org/10.1007/978-3-030-38501-9

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Hardcover ISBN: 978-3-030-38500-2Published: 03 January 2020

  • Softcover ISBN: 978-3-030-38503-3Published: 03 January 2021

  • eBook ISBN: 978-3-030-38501-9Published: 02 January 2020

  • Series ISSN: 2662-3447

  • Series E-ISSN: 2662-3455

  • Edition Number: 1

  • Number of Pages: XVIII, 478

  • Number of Illustrations: 86 b/w illustrations, 180 illustrations in colour

  • Topics: Computational Intelligence, Data Engineering, Cyber-physical systems, IoT

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