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Logistics 5.0: From Intelligent Networks to Sustainable Ecosystems 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 7, 页码: 3771-3774
作者:  Li, Juanjuan;  Qin, Rui;  Olaverri-Monreal, Cristina;  Prodan, Radu;  Wang, Fei-Yue
收藏  |  浏览/下载：86/0  |  提交时间：2023/11/17
Cyber-physical-social systems  decentralized autonomous organizations and operations  human-oriented operating systems  Logistics 5.0  parallel logistics  
Intelligent contracts: Making smart contracts smart for blockchain intelligence 期刊论文
COMPUTERS & ELECTRICAL ENGINEERING, 2022, 卷号: 104, 页码: 15
作者:  Ouyang, Liwei;  Zhang, Wenwen;  Wang, Fei-Yue
Adobe PDF(1184Kb)  |  收藏  |  浏览/下载：213/42  |  提交时间：2023/02/22
Blockchain  Smart contracts  Blockchain intelligence  Decentralized artificial intelligence  
Metaverses and DeMetaverses: From Digital Twins in CPS to Parallel Intelligence in CPSS 期刊论文
IEEE INTELLIGENT SYSTEMS, 2022, 卷号: 37, 期号: 4, 页码: 97-102
作者:  Wang, Xiao;  Yang, Jing;  Han, Jinpeng;  Wang, Wei;  Wang, Fei-Yue
收藏  |  浏览/下载：148/0  |  提交时间：2022/11/14
Learning Markets: An AI Collaboration Framework Based on Blockchain and Smart Contracts 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 16, 页码: 14273-14286
作者:  Ouyang, Liwei;  Yuan, Yong;  Wang, Fei-Yue
Adobe PDF(2684Kb)  |  收藏  |  浏览/下载：369/26  |  提交时间：2022/09/19
Collaboration  Artificial intelligence  Data models  Computational modeling  Smart contracts  Blockchain  Distributed databases  Artificial intelligence (AI) collaboration  blockchain  ensemble learning  federated learning (FL)  smart contracts  
Parallel Intelligence in Metaverses: Welcome to Hanoi! 期刊论文
IEEE INTELLIGENT SYSTEMS, 2022, 卷号: 37, 期号: 1, 页码: 16-20
作者:  Wang, Fei-Yue
收藏  |  浏览/下载：142/0  |  提交时间：2022/07/25
A novel framework of collaborative early warning for COVID-19 based on blockchain and smart contracts 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 570, 页码: 124-143
作者:  Ouyang, Liwei;  Yuan, Yong;  Cao, Yumeng;  Wang, Fei-Yue
Adobe PDF(1322Kb)  |  收藏  |  浏览/下载：291/63  |  提交时间：2021/08/15
Blockchain  Smart contracts  Federated learning  Learning markets  Collaborative early warning