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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：345/63  |  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 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：344/85  |  提交时间：2019/09/25
3d Printing  Additive Manufacturing  Cyber Physical System (Cps)  Deep Learning  Error Compensation  
Nonlinear Deformation Prediction and Compensation for 3D Printing Based on CAE Neural Networks 会议论文
, Vancouver, BC, Canada, August 22-26, 2019
作者:  Meihua Zhao;  Gang Xiong;  Xiuqin Shang;  Chang Liu;  Zhen Shen;  Huaiyu Wu
浏览  |  Adobe PDF(3684Kb)  |  收藏  |  浏览/下载：370/95  |  提交时间：2019/10/10
Detecting Traffic Information From Social Media Texts With Deep Learning Approaches 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 8, 页码: 3049-3058
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Xiao;  Li, Lingxi;  Wang, Fei-Yue
浏览  |  Adobe PDF(2273Kb)  |  收藏  |  浏览/下载：407/102  |  提交时间：2019/08/28
Deep learning  social transportation  traffic information detection  social media  text mining  
DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 卷号: 103, 页码: 142-157
作者:  Dai, Xingyuan;  Fu, Rui;  Zhao, Enmin;  Zhang, Zuo;  Lin, Yilun;  Wang, Fei-Yue;  Li, Li
Adobe PDF(5109Kb)  |  收藏  |  浏览/下载：305/26  |  提交时间：2019/09/30
Traffic prediction  Deep learning  Detrending  Multi-scale traffic prediction  
A novel hybrid share reporting strategy for blockchain miners in PPLNS pools 期刊论文
DECISION SUPPORT SYSTEMS, 2019, 卷号: 118, 期号: NA, 页码: 91-101
作者:  Qin, Rui;  Yuan, Yong;  Wang, Fei-Yue
浏览  |  Adobe PDF(2213Kb)  |  收藏  |  浏览/下载：452/150  |  提交时间：2019/07/12
Share reporting strategy  Blockchain mining  PPLNS reward  Pool mining  Computational experiments approach