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IET- MLBT - IoTs - Big Data - 2020: Machine Learning Based Blockchain Technologies for IoTs and Big Data: Fundamentals, Methods and Applications |
IET MLBT – IoTs – Big Data (Edited Book) (Machine Learning Based Blockchain Technologies for IoTs and Big Data: Fundamentals, Methods and Applications)
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Use the links below to access IET MLBT – IoTs – Big Data (Edited Book).
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Submission Guidelines
All chapters must be original (and Unpublished) and not simultaneously submitted to another journal or conference or book. The following chapter categories are welcome:
- Full chapters requires atleast 20 pages (minimum).
- No survey articles will be considered.
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We expect two things from your side:
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1. One Contributor (at-least) preferably (mandatory, good for marketing, etc.) from Foreign (Outside ASIA).
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2. A strong research background/ a strong Table of content of your chapter.
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Note: This is the first book on MLBT – IoTs – Big Data, So publisher expects such things from all authors.
List of Topics
Machine Learning
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Blockchain Technology
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Internet of Things
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Big Data
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Automated Analytics for Applications
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Introduction
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Introduction
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Introduction
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Introduction
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Introduction
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Issues
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Issues
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Issues
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Issues
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Issues
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Challenges
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Challenges
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Challenges
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Challenges
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Challenges
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Future Possible Directions
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Future Possible Directions
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Future Possible Directions
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Future Possible Directions
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Future Possible Directions
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Threats
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Threats
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Threats
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Threats
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Threats
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Countermeasures
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Countermeasures
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Countermeasures
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Countermeasures
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Countermeasures
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Tools Used
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Mechanisms or Algorithms
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Mechanisms or Algorithms
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Tool Used
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Tools Used
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Innovative Solutions
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Innovative Solutions
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Innovative Solutions
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Innovative Solutions
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Innovative Solutions
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Applications
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Applications
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Applications
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Applications
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Applications
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Note: Any other topic related to Machine Learning, Blockchain Technology, IoTs and Big Data, not mentioned in above table will be considered for proposed book.
Publication
IET- MLBT - IoTs - Big Data - 2020 book/ proceedings will be published by IET, London, UK.
Indexing:
All the chapters published in this book will be indexed in “The IET Digital Library”, which holds more than 190,000 technical papers from 1994 onwards for all IET journals, magazines, books, conference publications and seminar digests. “The lead contributor of each chapter will receive a free copy of the book from IET”.
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Note: "There is NO processing/publication charges for this IET Book”.
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Venue
This book is managed by Editors who belong to different regions of the world.
Contact
All questions about submissions should be emailed to:
- Dr. Amit Kumar Tyagi, Senior Assistant Professor (Grade - I) and Senior Researcher, Vellore Institute of Technology, Chennai Campus, 600127, Tamilnadu, India. Mobile: +91-7456868518, +91-9487868518, Email: amitkrtyagi025@gmail.com
- Prof. Ajith Abraham, Director of the Machine Intelligence Research Labs (MIR Labs), USA; Email: ajith.abraham@ieee.org
- Dr Farookh Khadeer Hussain, Head of Discipline (Software Engineering), University of Technology, Sydney, Australia; Email: Farookh.Hussain@uts.edu
- Professor Dr Habil Arturas Kaklauskas, Head of the Department of Construction Economics and Property Management, Vilnius Gediminas Technical University, Lithuania; Email arturas.kaklauskas@vgtu.lt
- Dr. R. Jagadeesh Kannan, Professor and Dean, School of Computer Science & Engineering, Vellore Institute of Technology Chennai Campus, 600127, Tamilnadu, India. Email: dr_rjk@hotmail.com
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