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The 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023)

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Muhammad Younas

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

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  2. Irfan Awan

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

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    You can also search for this editor in PubMed   Google Scholar

  3. Salima Benbernou

    1. Université Paris Cité, Paris, France

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  4. Dana Petcu

    1. Computer Science Department, Faculty of Mathematics and Informatics, Western University of Timisoara, Timisoara, Romania

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  • Written by experts in the field
  • Presents recent advances on deep learning, big data, and blockchain
  • Includes proceedings of the 4th Joint International Conference on Deep Learning, Big Data and Blockchain

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 768)

Included in the following conference series:

Conference proceedings info: Deep-BDB 2023.

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About this book

This book constitutes refereed articles which present research work on new and emerging topics such as distributed ledger technology, blockchains and architectures, smart cities, machine learning and deep learning techniques and application areas such as flight pricing, energy demand and healthcare.

The intended readership of the book include researchers, developers and practitioners in the areas of deep learning, big data and blockchains technologies and their applications.

Keywords

Table of contents (11 papers)

  1. Front Matter

    Pages i-x
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  2. Block Chain Systems

    1. Front Matter

      Pages 1-1
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    2. Distributed Ledger Technology for Collective Environmental Action

      • Roman Beck, Marco Schletz, Alvise Baggio, Lorenzo Gentile
      Pages 3-15

    3. Moving Towards Blockchain-Based Methods for Revitalizing Healthcare Domain

      • Rihab Benaich, Saida El Mendili, Youssef Gahi
      Pages 16-29

    4. Design of a Tokenized Blockchain Architecture for Tracking Trade in the Global Defense Market

      • Mustafa Sanli
      Pages 30-40

    5. Requirements for Interoperable Blockchain Systems: A Systematic Literature Review

      • Senate Sylvia Mafike, Tendani Mawela
      Pages 41-55

  3. Deep Learning and Healthcare Applications

    1. Front Matter

      Pages 57-57
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    2. PENN: Phase Estimation Neural Network on Gene Expression Data

      • Aram Ansary Ogholbake, Qiang Cheng
      Pages 59-67

    3. MRIAD: A Pre-clinical Prevalence Study on Alzheimer’s Disease Prediction Through Machine Learning Classifiers

      • Jannatul Loba, Md. Rajib Mia, Imran Mahmud, Md. Julkar Nayeen Mahi, Md. Whaiduzzaman, Kawsar Ahmed
      Pages 68-80

    4. Exploring the Link Between Brain Waves and Sleep Patterns with Deep Learning Manifold Alignment

      • Yosef Bernardus Wirian, Yang Jiang, Sylvia Cerel-Suhl, Jeremiah Suhl, Qiang Cheng
      Pages 81-90

  4. Machine Learning and Commercial Systems

    1. Front Matter

      Pages 91-91
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    2. YOLOv5 for Automatic License Plate Recognition in Smart Cities

      • Abir Raza, Elarbi Badidi, Basma Badidi, Sarah Al Zahmi
      Pages 93-105

    3. An Investigation into Predicting Flight Fares in India Using Machine Learning Models

      • Vishan Lal, Paul Stynes, Cristina Hava Muntean
      Pages 106-118

    4. Securing Internet of Things (IoT) Devices Through Distributed Ledger Technologies (DLTs) and World Wide Web Consortium (W3C) Standards

      • Sthembile Mthethwa
      Pages 119-128

    5. Analysis and Forecast of Energy Demand in Senegal with a SARIMA Model and an LSTM Neural Network

      • Moustapha Drame, Djamal Abdoul Nasser Seck, Baye Samba Ndiaye
      Pages 129-140

  5. Back Matter

    Pages 141-141
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Other volumes

  1. The 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023)

Editors and Affiliations

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

    Muhammad Younas

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

    Irfan Awan

  • Université Paris Cité, Paris, France

    Salima Benbernou

  • Computer Science Department, Faculty of Mathematics and Informatics, Western University of Timisoara, Timisoara, Romania

    Dana Petcu

Bibliographic Information

  • Book Title: The 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023)

  • Editors: Muhammad Younas, Irfan Awan, Salima Benbernou, Dana Petcu

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-031-42317-8

  • 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 2023

  • Softcover ISBN: 978-3-031-42316-1Published: 31 August 2023

  • eBook ISBN: 978-3-031-42317-8Published: 30 August 2023

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: X, 141

  • Number of Illustrations: 10 b/w illustrations, 38 illustrations in colour

  • Topics: Computational Intelligence, Data Engineering

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