CASIA OpenIR

浏览/检索结果: 共5条,第1-5条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
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:347/45  |  提交时间:2019/12/16
Medical image synthesis  Generative adversarial network  X-ray breast mass  Lesion segmentation  
Consistent Population Synthesis with Multi-Social Relationships Based on Tensor Decomposition 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2019, 卷号: 00, 期号: 00, 页码: 00
作者:  Peijun Ye;  Fenghua Zhu;  Samer Sabri;  Fei-Yue Wang
Adobe PDF(2643Kb)  |  收藏  |  浏览/下载:292/86  |  提交时间:2019/10/10
Population Synthesis  Multiple Social Relationships  Tensor Decomposition  Agent-based Simulation  
A Novel GSP Auction Mechanism for Ranking Bitcoin Transactions in Blockchain Mining 期刊论文
DECISION SUPPORT SYSTEMS, 2019, 卷号: 124, 期号: 2019, 页码: NA
作者:  Li, Juanjuan;  Yuan, Yong;  Wang, Fei-Yue
Adobe PDF(2794Kb)  |  收藏  |  浏览/下载:740/134  |  提交时间:2019/09/25
Blockchain  Generalized Second Price auction  Transaction fee  Quality score  Virtual fee  
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
Adobe PDF(1880Kb)  |  收藏  |  浏览/下载:411/72  |  提交时间:2019/07/12
Cyber-social-physical system (CPSS)  Internet of Vehicles (IoV)  parallel system  social networks  
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:884/347  |  提交时间:2019/05/07
Artificial Intelligence  Intelligent Vehicle