CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共13条,第1-10条 帮助

限定条件                                
已选(0)清除 条数/页:   排序方式:
Hierarchical Fused Model With Deep Learning and Type-2 Fuzzy Learning for Breast Cancer Diagnosis 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 12, 页码: 3204-3218
作者:  Shen, Tianyu;  Wang, Jiangong;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(3530Kb)  |  收藏  |  浏览/下载:324/71  |  提交时间:2021/03/02
Image segmentation  Biomedical imaging  Fuzzy sets  Breast cancer  Breast cancer  deep learning (DL)  fuzzy classifier (FC)  interval type-2 possibilistic fuzzy c-means (IT2PFCM)  
Acting As A Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 期号: Accepted, 页码: Accepted
作者:  Yuanyuan Chen;  Hongyu Chen;  Peijun Ye;  Yisheng Lv;  Fei-Yue Wang
浏览  |  Adobe PDF(2382Kb)  |  收藏  |  浏览/下载:290/61  |  提交时间:2020/10/16
Traffic Flow Prediction  Ensemble Learning  Deep Learning  
Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 21, 期号: 10, 页码: 4063 - 4071
作者:  Fenghua Zhu;  Yisheng Lv;  Yuanyuan Chen;  Xiao Wang;  Gang Xiong;  Fei-Yue Wang
浏览  |  Adobe PDF(2879Kb)  |  收藏  |  浏览/下载:464/231  |  提交时间:2020/10/15
Intelligent transportation systems  
Decision-Making in Driver-Automation Shared Control: A Review and Perspectives 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 5, 页码: 1289-1307
作者:  Wang, Wenshuo;  Na, Xiaoxiang;  Cao, Dongpu;  Gong, Jianwei;  Xi, Junqiang;  Xing, Yang;  Wang, Fei-Yue
浏览  |  Adobe PDF(14998Kb)  |  收藏  |  浏览/下载:249/29  |  提交时间:2020/09/07
Automated vehicle  decision-making  human driver  human-vehicle interaction  shared control  
Analyzing Bitcoin transaction fees using a queueing game model 期刊论文
ELECTRONIC COMMERCE RESEARCH, 2020, 期号: 3, 页码: 21
作者:  Li, Juanjuan;  Yuan, Yong;  Wang, Fei-Yue
浏览  |  Adobe PDF(1741Kb)  |  收藏  |  浏览/下载:377/99  |  提交时间:2020/08/31
Bitcoin  Blockchain  Transaction fees  Transaction confirmation queueing game  
A parallel vision approach to scene-specific pedestrian detection 期刊论文
NEUROCOMPUTING, 2020, 卷号: 394, 页码: 114-126
作者:  Zhang, Wenwen;  Wang, Kunfeng;  Liu, Yating;  Lu, Yue;  Wang, Fei-Yue
Adobe PDF(4090Kb)  |  收藏  |  浏览/下载:362/54  |  提交时间:2020/06/22
Pedestrian detection  Specific scene  Synthetic data  Video surveillance  Parallel vision  
Parallel reinforcement learning-based energy efficiency improvement for a cyber-physical system 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 2, 页码: 617-626
作者:  Liu, Teng;  Tian, Bin;  Ai, Yunfeng;  Wang, Fei-Yue
Adobe PDF(5784Kb)  |  收藏  |  浏览/下载:244/1  |  提交时间:2020/06/02
Bidirectional long short-term memory (LSTM) network  cyber-physical system (CPS)  energy management  parallel system  reinforcement learning (RL)  
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:383/66  |  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  
APLNet: Attention-enhanced progressive learning network 期刊论文
NEUROCOMPUTING, 2020, 卷号: 371, 期号: 2020, 页码: 166-176
作者:  Zhang, Hui;  Kang, Danqing;  He, Haibo;  Wang, Fei-Yue
浏览  |  Adobe PDF(3114Kb)  |  收藏  |  浏览/下载:362/110  |  提交时间:2020/03/30
Object detection  Progressive learning  Attention enhancement  
Simultaneous Segmentation and Classification of Mass Region From Mammograms Using a Mixed-Supervision Guided Deep Model 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2020, 卷号: 27, 期号: 0, 页码: 196-200
作者:  Shen, Tianyu;  Gou, Chao;  Wang, Jiangong;  Wang, Fei-Yue
Adobe PDF(1640Kb)  |  收藏  |  浏览/下载:396/62  |  提交时间:2020/03/30
Mixed-supervision  deep learning  segmentation and classification  mammogram