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Learning from adversarial medical images for X-ray breast mass segmentation 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2019, 卷号: 180, 期号: 2019, 页码: 13
作者:  Shen, Tianyu;  Gou, Chao;  Wang, Fei-Yue;  He, Zilong;  Chen, Weiguo
Adobe PDF(4491Kb)  |  收藏  |  浏览/下载：391/51  |  提交时间：2019/12/16
Medical image synthesis  Generative adversarial network  X-ray breast mass  Lesion segmentation  
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
浏览  |  Adobe PDF(1335Kb)  |  收藏  |  浏览/下载：413/118  |  提交时间：2019/10/10
Skull model  3D printing  Anatomy education  
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：493/137  |  提交时间：2019/10/10
Orientation Optimization  Gpu  Parallel Computing  Genetic Algorithm  Additive Manufacturing  
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：383/97  |  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：407/119  |  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
浏览  |  Adobe PDF(2349Kb)  |  收藏  |  浏览/下载：513/132  |  提交时间：2019/07/12
Collaborative manufacturing  mass customisation  optimisation SM resources  
Parallel Vehicular Networks: A CPSS-Based Approach via Multimodal Big Data in IoV 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2019, 卷号: 6, 期号: 1, 页码: 1079-1089
作者:  Han, Shuangshuang;  Wang, Xiao;  Zhang, Jun Jason;  Cao, Dongpu;  Wang, Fei-Yue
浏览  |  Adobe PDF(1880Kb)  |  收藏  |  浏览/下载：452/83  |  提交时间：2019/07/12
Cyber-social-physical system (CPSS)  Internet of Vehicles (IoV)  parallel system  social networks  
Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 卷号: 68, 期号: 5, 页码: 4377-4390
作者:  Xing, Yang;  Lv, Chen;  Wang, Huaji;  Wang, Hong;  Ai, Yunfeng;  Cao, Dongpu;  Velenis, Efstathios;  Wang, Fei-Yue
收藏  |  浏览/下载：281/0  |  提交时间：2019/07/11
Intelligent vehicle  ADAS  lane change  driver intention  parallel driving  
Parallel testing of vehicle intelligence via virtual-real interaction 期刊论文
Science Robotics, 2019, 卷号: 4, 期号: 28, 页码: eaaw4106
作者:  Li Li;  Xiao Wang;  Kunfeng Wang;  Yilun Lin;  Jingmin Xin;  Long Chen;  Linhai Xu;  Bin Tian;  Yunfeng Ai;  Jian Wang;  Dongpu Cao;  Yuehu Liu;  Chenghong Wang;  Nanning Zheng;  Fei-Yue Wang
Adobe PDF(332Kb)  |  收藏  |  浏览/下载：954/365  |  提交时间：2019/05/07
Artificial Intelligence  Intelligent Vehicle  
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
Adobe PDF(623Kb)  |  收藏  |  浏览/下载：384/165  |  提交时间：2019/05/07
Traflic flow prediction  deep learning  generative adversarial network