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Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 4, 页码: 1624-1630
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Fei-Yue
浏览  |  Adobe PDF(2070Kb)  |  收藏  |  浏览/下载：365/65  |  提交时间：2020/06/02
Generators  Data models  Gallium nitride  Generative adversarial networks  Training  Loss measurement  Biological system modeling  Parallel data  generative adversarial networks  traffic flow imputation  data augmentation  deep learning  
A Learning-Based Framework for Error Compensation in 3D Printing 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 11, 页码: 4042-4050
作者:  Shen, Zhen;  Shang, Xiuqin;  Zhao, Meihua;  Dong, Xisong;  Xiong, Gang;  Wang, Fei-Yue
收藏  |  浏览/下载：274/0  |  提交时间：2019/12/16
3D printing  additive manufacturing  cyber-physical system (CPS)  deep learning  error compensation  
PredNet and CompNet: Prediction and High-Precision Compensation of In-Plane Shape Deformation for Additive Manufacturing 会议论文
, Vancouver, BC, Canada, August 22-26, 2019
作者:  Shen, Zhen;  Shang, Xiuqin;  Li, Yuqing;  Bao, Yin;  Zhang, Xipeng;  Dong, Xisong;  Wan, Li;  Xiong, Gang;  Wang, Fei-Yue
浏览  |  Adobe PDF(4106Kb)  |  收藏  |  浏览/下载：277/43  |  提交时间：2019/10/10
A Learning-Based Framework for Error Compensation in 3-D Printing 期刊论文
IEEE Transactions on Cybernetics, 2019, 卷号: 49, 期号: 11, 页码: 4042-4050
作者:  Shen Z(沈震);  Shang XQ(商秀芹);  Zhao MH(赵美华);  Xiong G(熊刚);  Wang FY(王飞跃)
浏览  |  Adobe PDF(3664Kb)  |  收藏  |  浏览/下载：356/88  |  提交时间：2019/09/25
3d Printing  Additive Manufacturing  Cyber Physical System (Cps)  Deep Learning  Error Compensation  
Decentralized Construction of Knowledge Graphs for Deep Recommender Systems Based on Blockchain-Powered Smart Contracts 期刊论文
IEEE Access, 2019, 卷号: 7, 期号: Sep. 2019, 页码: 136951- 136961
作者:  Shuai Wang;  Chenchen Huang;  Juanjuan Li;  Yong Yuan;  Fei-Yue Wang
浏览  |  Adobe PDF(2505Kb)  |  收藏  |  浏览/下载：367/108  |  提交时间：2019/09/25
Decentralized Knowledge Graph  Deep Recommender System  Crowdsourcing  Blockchain  Smart Contracts