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The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Irfan Awan

    1. Department of Computer Science, Faculty of Engineering and Informatics, University of Bradford, Bradford, UK

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  2. Salima Benbernou

    1. Université de Paris, Paris, France

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  3. Muhammad Younas

    1. School of Engineering, Computing and Mathematics, Oxford Brookes University, Oxford, UK

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  4. Markus Aleksy

    1. Ludwigshafen, Germany

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  • Presents recent advances on deep learning, big data, and blockchain
  • Includes proceedings of the 2nd International Conference on Deep Learning, Big Data, and Blockchain
  • Has been written by experts in the field

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 309)

Included in the following conference series:

Conference proceedings info: Deep-BDB 2021.

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About this book

The role of deep learning for the analysis and learning of massive amounts of data from all aspects of daily-life has dramatically changed over the last few years. It is increasingly helping uncover trends leading to great successes. This book includes a collection of research manuscripts presenting state-of-the-art work in the areas of deep learning, blockchain and big data. All the manuscripts included in this book have been peer-reviewed based on aspects of novelty, originality and rigour. The main topics covered in the book include machine learning and time series, blockchain technologies and applications, data security, deep learning, and Internet of Things.

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Table of contents (13 papers)

  1. Front Matter

    Pages i-xi
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  3. Blockchain Technology and Applications

    1. Front Matter

      Pages 39-39
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    2. A Blockchain Framework for On-Demand Intermodal Interlining: Blocklining

      • Mary Rose Everan, Michael McCann, Gary Cullen
      Pages 41-52

    3. Intersection of AI and Blockchain Technology: Concerns and Prospects

      • K. B. Vikhyath, R. K. Sanjana, N. V. Vismitha
      Pages 53-66

    4. SAIaaS: A Blockchain-Based Solution for Secure Artificial Intelligence as-a-Service

      • Nicolas Six, Andrea Perrichon-Chrétien, Nicolas Herbaut
      Pages 67-74

  4. Blockchain and Security

    1. Front Matter

      Pages 75-75
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    2. Trade-Off Between Security and Scalability in Blockchain Design: A Dynamic Sharding Approach

      • Kahina Khacef, Salima Benbernou, Mourad Ouziri, Muhammad Younas
      Pages 77-90

    3. BC-HRM: A Blockchain-Based Human Resource Management System Utilizing Smart Contracts

      • Heba Adel, Mostafa ElBakary, Kamal ElDahshan, Dina Salah
      Pages 91-105

    4. Applicability of the Software Security Code Metrics for Ethereum Smart Contract

      • Aboua Ange Kevin N’DA, Santiago Matalonga, Keshav Dahal
      Pages 106-119

  5. Machine Learning, Blockchain and IoT

    1. Front Matter

      Pages 121-121
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    2. A Recommendation Model Based on Visitor Preferences on Commercial Websites Using the TKD-NM Algorithm

      • Piyanuch Chaipornkaew, Thepparit Banditwattanawong
      Pages 123-133

    3. Reinforcement Learning: A Friendly Introduction

      • Dema Daoun, Fabiha Ibnat, Zulfikar Alom, Zeyar Aung, Mohammad Abdul Azim
      Pages 134-146

    4. Universal Multi-platform Interaction Approach for Distributed Internet of Things

      • Maria Stepanova, Oleg Eremin
      Pages 147-159

    5. A Practical and Economical Bayesian Approach to Gas Price Prediction

      • ChihYun Chuang, TingFang Lee
      Pages 160-174

  6. Back Matter

    Pages 175-175
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Other volumes

  1. The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)

Editors and Affiliations

  • Department of Computer Science, Faculty of Engineering and Informatics, University of Bradford, Bradford, UK

    Irfan Awan

  • Université de Paris, Paris, France

    Salima Benbernou

  • School of Engineering, Computing and Mathematics, Oxford Brookes University, Oxford, UK

    Muhammad Younas

  • Ludwigshafen, Germany

    Markus Aleksy

Bibliographic Information

  • Book Title: The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)

  • Editors: Irfan Awan, Salima Benbernou, Muhammad Younas, Markus Aleksy

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-030-84337-3

  • Publisher: Springer Cham

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-030-84336-6Published: 08 August 2021

  • eBook ISBN: 978-3-030-84337-3Published: 07 August 2021

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XI, 175

  • Number of Illustrations: 28 b/w illustrations, 38 illustrations in colour

  • Topics: Computational Intelligence, Data Engineering, Big Data

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