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

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

Table of Contents

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    Book Overview
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    Chapter 1 Apply Trust Computing and Privacy Preserving Smart Contracts to Manage, Share, and Analyze Multi-site Clinical Trial Data
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    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 6: A Smart Video Surveillance System for Helping Law Enforcement Agencies in Detecting Knife Related Crimes
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Chapter title
A Smart Video Surveillance System for Helping Law Enforcement Agencies in Detecting Knife Related Crimes
Chapter number 6
Book title
The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022)
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-16035-6_6
Book ISBNs
978-3-03-116034-9, 978-3-03-116035-6
Authors

Abdallah, Raed, Benbernou, Salima, Taher, Yehia, Younas, Muhammad, Haque, Rafiqul

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