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ORCIDDBB 2022: Rome, Italy
- Irfan Awan, Muhammad Younas, Jamal Bentahar, Salima Benbernou:
The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022), Rome, Italy, 22-24 August 2022. Lecture Notes in Networks and Systems 541, Springer 2023, ISBN 978-3-031-16034-9
Blockchain and Applications
- Yusen Wu
, Chao Liu, Lawrence Sebald, Phuong Nguyen, Yelena Yesha:
Apply Trust Computing and Privacy Preserving Smart Contracts to Manage, Share, and Analyze Multi-site Clinical Trial Data. 3-14 - Suha Bayraktar, Sezer Gören:
Design Principles for Interoperability of Private Blockchains. 15-26 - Mustafa Sanli:
Blockchain for Proposal Management. 27-35
Machine and Deep Learning
- Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Nagat Drawel:
One-Shot Federated Learning-based Model-Free Reinforcement Learning. 39-52 - Halah Almazrua, Hala M. Alshamlan:
A New Approach for Selecting Features in Cancer Classification Using Grey Wolf Optimizer. 53-64 - Raed Abdallah, Salima Benbernou, Yehia Taher, Muhammad Younas, Rafiqul Haque:
A Smart Video Surveillance System for Helping Law Enforcement Agencies in Detecting Knife Related Crimes. 65-78 - Sameerah Talafha, Banafsheh Rekabdar, Christos Mousas, Chinwe Ekenna:
Biologically Inspired Variational Auto-Encoders for Adversarial Robustness. 79-93
Blockchain Technology and Protocols
- Amel Bella Baci, Kei Brousmiche, Ilias Amal, Fatma Abdelhédi, Lionel Rigaud:
Detecting Illicit Ethereum Accounts Based on Their Transaction History and Properties and Using Machine Learning. 97-108 - Alpesh Bhudia, Anna Cartwright, Edward J. Cartwright, Julio C. Hernandez-Castro, Darren Hurley-Smith:
Identifying Incentives for Extortion in Proof of Stake Consensus Protocols. 109-118 - Ghalya Alwhishi, Jamal Bentahar, Ahmed Elwhishi:
Three-Valued Model Checking Smart Contract Systems with Trust Under Uncertainty. 119-133
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