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A GPU Based Parallel Genetic Algorithm for the Orientation Optimization Problem in 3D Printing 会议论文
, Montreal, Canada, May 20-24, 2019
作者:  Li, Zhishuai;  Xiong, Gang;  Zhang, Xipeng;  Shen, Zhen;  Luo, Can;  Shang, Xiuqin;  Dong, Xisong;  Bian, Gui-Bin;  Wang, Xiao;  Wang, Fei-Yue
Adobe PDF(195Kb)  |  收藏  |  浏览/下载：469/126  |  提交时间：2019/10/10
Orientation Optimization  Gpu  Parallel Computing  Genetic Algorithm  Additive Manufacturing  
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：353/32  |  提交时间：2019/09/30
Traffic prediction  Deep learning  Detrending  Multi-scale traffic prediction  
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)
Adobe PDF(3664Kb)  |  收藏  |  浏览/下载：370/93  |  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
Adobe PDF(2505Kb)  |  收藏  |  浏览/下载：385/113  |  提交时间：2019/09/25
Decentralized Knowledge Graph  Deep Recommender System  Crowdsourcing  Blockchain  Smart Contracts  
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
作者:  Shang, Xiuqin;  Shen, Zhen;  Xiong, Gang;  Wang, Fei-Yue;  Liu, Sheng;  Nyberg, Timo R.;  Wu, Huaiyu;  Guo, Chao
Adobe PDF(2349Kb)  |  收藏  |  浏览/下载：498/127  |  提交时间：2019/07/12
Collaborative manufacturing  mass customisation  optimisation SM resources