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CASIA OpenIR
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The process of 3D printed skull models for anatomy education 期刊论文
COMPUTER ASSISTED SURGERY, 2019, 卷号: 24, 页码: 121-130
作者:  Shen, Zhen;  Yao, Yong;  Xie, Yi;  Guo, Chao;  Shang, Xiuqin;  Dong, Xisong;  Li, Yuqing;  Pan, Zhouxian;  Chen, Shi;  Xiong, Gang;  Wang, Fei-Yue;  Pan, Hui
Adobe PDF(1335Kb)  |  收藏  |  浏览/下载：391/112  |  提交时间：2019/10/10
Skull model  3D printing  Anatomy education  
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：350/32  |  提交时间：2019/09/30
Traffic prediction  Deep learning  Detrending  Multi-scale traffic prediction  
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：440/110  |  提交时间：2019/08/28
Deep learning  social transportation  traffic information detection  social media  text mining  
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
浏览  |  Adobe PDF(2349Kb)  |  收藏  |  浏览/下载：496/127  |  提交时间：2019/07/12
Collaborative manufacturing  mass customisation  optimisation SM resources  
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：368/159  |  提交时间：2019/05/07
Traflic flow prediction  deep learning  generative adversarial network