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Blockchain and Deep Learning

Future Trends and Enabling Technologies

  • Book
  • © 2022

Overview

Editors:
  1. Khaled R. Ahmed

    1. School of Computing, Southern Illinois University, Carbondale, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Henry Hexmoor

    1. Computer Science, Southern Illinois University, Carbondale, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Provides a comprehensive reference for blockchain and deep learning by covering all important topics
  • Introduces to blockchain and deep learning, explores and illustrates current and new trends that integrate them
  • Is first edited focusing on merging blockchain and deep learning in cyber-physical systems and IoT platforms

Part of the book series: Studies in Big Data (SBD, volume 105)

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About this book

This book introduces to blockchain and deep learning and explores and illustrates the current and new trends that integrate them. The pace and speeds for connectivity are certain on the ascend. Blockchain and deep learning are twin technologies that are integral to integrity and relevance of network contents. Since they are data-driven technologies, rapidly growing interests exist to incorporate them in efficient and secure data sharing and analysis applications. Blockchain and deep learning are sentinel contemporary research technologies. This book provides a comprehensive reference for blockchain and deep learning by covering all important topics. It identifies the bedrock principles and forward projecting methodologies that illuminate the trajectory of developments for the decades ahead.


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Table of contents (15 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Enabling Technologies

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. ShareCert: Sharing and Authenticating Certificates and Credentials on Blockchain

      • Vasista Sai Venkata Durga Prasad Lodagala, Pallav Kumar Baruah
      Pages 3-29

    3. Prospects of Semantic Web and Blockchain Technologies in Libraries

      • Faiza Bashir, Nosheen Fatima Warraich
      Pages 31-45

    4. Scalability Analysis of Proof-of-Work Based Blockchain

      • Diksha Malhotra, Shilpa Dhiman, Poonam Saini, Awadhesh Kumar Singh
      Pages 47-66

    5. Smart Contracts: A Way to Modern Digital World

      • A. D. N. Sarma
      Pages 67-106

    6. Decentralized Public Distribution System on the Ethereum Blockchain Interact with MyEtherWallet

      • C. Devi Parameswari, M. Ilayaraja
      Pages 107-124

  3. Applications

    1. Front Matter

      Pages 125-125
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    2. Adoption of Blockchain Integrated with Machine Learning in Intelligent Transportation System

      • Mahadev A. Gawas, Aishwarya R. Parab
      Pages 127-146

    3. Empowerment of Internet of Things Through the Integration of Blockchain Technology

      • C. Muralidharan, Y. Mohamed Sirajudeen, Y. Rajkumar
      Pages 147-157

    4. Application of Machine Learning Algorithms to Disordered Speech

      • Seedahmed S. Mahmoud, Qiang Fang, Musleh Alsulami, Akshay Kumar
      Pages 159-178

    5. A Deep Analysis on the Role of Deep Learning Models Using Generative Adversarial Networks

      • Alankrita Aggarwal, Shivani Gaba, Shally Nagpal, Anoopa Arya
      Pages 179-197

    6. A Mediator Approach for a Semantic Integration of Heterogeneous Proteomics Data Sources

      • Chaimaa Messaoudi, Rachida Fissoune, Hassan Badir
      Pages 199-220

    7. Blockchain for Technological and Mindset Revolution: A Qualitative Study in the Sultanate of Oman

      • Salam Saif Said Al-Riyami, Smitha Sunil Kumaran Nair
      Pages 221-250

    8. Recent Advancement and Challenges in Deep Learning, Big Data in Bioinformatics

      • Ajay Sharma, Raj Kumar
      Pages 251-284

    9. Deep Learning for Medical Informatics and Public Health

      • K. Aditya Shastry, H. A. Sanjay, M. Lakshmi, N. Preetham
      Pages 285-308

    10. Transiting Exoplanet Hunting Using Convolutional Neural Networks

      • Dhruv Kaliraman, Gopal Joshi, Suchitra Khoje
      Pages 309-326

  4. Emerging Technologies

    1. Front Matter

      Pages 327-327
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    2. The Future of Blockchain Technology, Recent Advancement and Challenges

      • Ajay Sharma, Vandana Guleria, Varun Jaiswal
      Pages 329-349
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Editors and Affiliations

  • School of Computing, Southern Illinois University, Carbondale, USA

    Khaled R. Ahmed

  • Computer Science, Southern Illinois University, Carbondale, USA

    Henry Hexmoor

Bibliographic Information

  • Book Title: Blockchain and Deep Learning

  • Book Subtitle: Future Trends and Enabling Technologies

  • Editors: Khaled R. Ahmed, Henry Hexmoor

  • Series Title: Studies in Big Data

  • DOI: https://doi.org/10.1007/978-3-030-95419-2

  • 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

  • Hardcover ISBN: 978-3-030-95418-5Published: 29 March 2022

  • Softcover ISBN: 978-3-030-95421-5Published: 30 March 2023

  • eBook ISBN: 978-3-030-95419-2Published: 25 March 2022

  • Series ISSN: 2197-6503

  • Series E-ISSN: 2197-6511

  • Edition Number: 1

  • Number of Pages: X, 349

  • Number of Illustrations: 34 b/w illustrations, 122 illustrations in colour

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

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