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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：378/66  |  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 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：458/120  |  提交时间：2019/10/10
Orientation Optimization  Gpu  Parallel Computing  Genetic Algorithm  Additive Manufacturing  
Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 6, 页码: 2395-2400
作者:  Lin, Yilun;  Dai, Xingyuan;  Li, Li;  Wang, Fei-Yue
浏览  |  Adobe PDF(623Kb)  |  收藏  |  浏览/下载：366/158  |  提交时间：2019/05/07
Traflic flow prediction  deep learning  generative adversarial network