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ESI工程学热点论文推送(2019年9月) 其他
2019-09-20
Authors:  张桂英
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ESI计算机科学领域热点论文(2019年09月) 其他
2019-09-17
Authors:  张桂英
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ESI工程学领域热点论文(2019年07月) 其他
2019-07-18
Authors:  张桂英
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ESI工程学领域热点论文推送2019年5月 其他
2019-05-27
Authors:  张桂英
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Moving from mass customization to social manufacturing: a footwear industry case study 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2019, 卷号: 32, 期号: 2, 页码: 194-205
Authors:  Shang, Xiuqin;  Shen, Zhen;  Xiong, Gang;  Wang, Fei-Yue;  Liu, Sheng;  Nyberg, Timo R.;  Wu, Huaiyu;  Guo, Chao
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Collaborative manufacturing  mass customisation  optimisation SM resources  
A novel GSP auction mechanism for ranking Bitcoin transactions in blockchain mining 期刊论文
Decision Support Systems, 2019, 卷号: 124, 期号: September 2019, 页码: 113094
Authors:  Juanjuan Li;  Yong Yuan;  Fei-Yue Wang
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Blockchain  Generalized Second Price Auction  Transaction Fee  Quality Score  Virtual Fee  
A Pareto optimal mechanism for demand-side platforms in real time bidding advertising markets 期刊论文
INFORMATION SCIENCES, 2018, 卷号: 469, 页码: 119-140
Authors:  Qin, Rui;  Yuan, Yong;  Wang, Fei-Yue
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Computational advertising  Real time bidding  Demand side platform  Pareto optimal  Mechanism design  Computational experiment  
A hierarchical framework for ad inventory allocation in programmatic advertising markets 期刊论文
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2018, 卷号: 31, 页码: 40-51
Authors:  Juanjuan Li;  Xiaochun Ni;  Yong Yuan;  Fei-Yue Wang
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Programmatic advertising  Ad inventory  Real-time bidding  Private marketplace  Header bidding  
Blockchain and Cryptocurrencies: Mode Techniques, and Applications 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2018, 卷号: 48, 期号: 9, 页码: 1421-1428
Authors:  Yuan, Yong;  Wang, Fei-Yue
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Bitcoin  Blockchain  Consensus Algorithm  Cryptocurrency  Smart Contract  
Evolutionary dynamics of cryptocurrency transaction networks: An empirical study 期刊论文
PLOS ONE, 2018, 卷号: 13, 期号: 8, 页码: 1-18
Authors:  Jiaqi, Liang;  Linjing, Li;  Daniel, Zeng
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cryptocurrency  blockchain  bitcoin  transaction networks  network analysis