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CASIA OpenIR
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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：246/0  |  提交时间：2019/07/11
Intelligent vehicle  ADAS  lane change  driver intention  parallel driving  
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：452/116  |  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：382/69  |  提交时间：2019/07/12
Cyber-social-physical system (CPSS)  Internet of Vehicles (IoV)  parallel system  social networks  
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：351/104  |  提交时间：2019/09/25
Decentralized Knowledge Graph  Deep Recommender System  Crowdsourcing  Blockchain  Smart Contracts  
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：327/40  |  提交时间：2019/12/16
Medical image synthesis  Generative adversarial network  X-ray breast mass  Lesion segmentation