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The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022)

Overview of attention for book
Cover of 'The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022)'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Apply Trust Computing and Privacy Preserving Smart Contracts to Manage, Share, and Analyze Multi-site Clinical Trial Data
  3. Altmetric Badge
    Chapter 2 Design Principles for Interoperability of Private Blockchains
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    Chapter 3 Blockchain for Proposal Management
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    Chapter 4 One-Shot Federated Learning-based Model-Free Reinforcement Learning
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    Chapter 5 A New Approach for Selecting Features in Cancer Classification Using Grey Wolf Optimizer
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    Chapter 6 A Smart Video Surveillance System for Helping Law Enforcement Agencies in Detecting Knife Related Crimes
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    Chapter 7 Biologically Inspired Variational Auto-Encoders for Adversarial Robustness
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    Chapter 8 Detecting Illicit Ethereum Accounts Based on Their Transaction History and Properties and Using Machine Learning
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    Chapter 9 Identifying Incentives for Extortion in Proof of Stake Consensus Protocols
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    Chapter 10 Three-Valued Model Checking Smart Contract Systems with Trust Under Uncertainty
Attention for Chapter 2: Design Principles for Interoperability of Private Blockchains
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Readers on

mendeley
5 Mendeley
Summary
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Design Principles for Interoperability of Private Blockchains
Chapter number 2
Book title
The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022)
DOI 10.1007/978-3-031-16035-6_2
Book ISBNs
978-3-03-116034-9, 978-3-03-116035-6
Authors

Bayraktar, Suha, Gören, Sezer

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 20%
Student > Postgraduate 1 20%
Student > Doctoral Student 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 2 40%
Economics, Econometrics and Finance 1 20%
Social Sciences 1 20%
Unknown 1 20%

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