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CASIA OpenIR
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Local Linear Generalized Autoencoder-Based Incipient Fault Detection for Electrical Drive Systems of High-Speed Trains 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 9
作者:  Cheng, Chao;  Ju, Yunfei;  Xu, Shuiqing;  Lv, Yisheng;  Chen, Hongtian
收藏  |  浏览/下载：99/0  |  提交时间：2023/11/17
Incipient fault  fault detection (FD)  manifold learning  generalized autocoder (GAE)  electrical drive systems  high-speed trains  
A Semi-supervised End-to-end Framework for Transportation Mode Detection by Using GPS-enabled Sensing Devices 期刊论文
IEEE Internet of Things Journal, 2022, 卷号: 9, 期号: 10, 页码: 7842-7852
作者:  Zhishuai Li;  Gang Xiong;  Zebing Wei;  YIsheng Lv;  Noreen Anwar;  Fei-Yue Wang
Adobe PDF(2754Kb)  |  收藏  |  浏览/下载：239/72  |  提交时间：2022/04/08
Transportation mode detection , Semi-supervised learning, Human mobility , GPS trajectory.  
Traffic Signal Timing via Deep Reinforcement Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2016, 期号: 3, 页码: 247-254
作者:  Li Li;  Lv YS(吕宜生);  Fei-Yue Wang
Adobe PDF(509Kb)  |  收藏  |  浏览/下载：79/39  |  提交时间：2022/04/08
Traffic control , reinforcement learning , deep learning , deep reinforcement learning  
MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Chizhan Zhang;  Fenghua Zhu;  Yisheng Lv;  Peijun Ye;  Feiyue Wang
Adobe PDF(4431Kb)  |  收藏  |  浏览/下载：257/62  |  提交时间：2021/06/16
Taxi demand prediction  taxi zone clustering  heterogeneity analysis  deep learning  
Taxi Demand Prediction Using Parallel Multi-Task Learning Model 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 99, 期号: 1, 页码: 1-10
作者:  Chizhan Zhang;  Fenghua Zhu;  Xiao Wang;  Leilei Sun;  Haina Tang;  Yisheng Lv
浏览  |  Adobe PDF(3947Kb)  |  收藏  |  浏览/下载：248/96  |  提交时间：2020/10/15
Taxi demand prediction, pick-up/drop-off demand, multi-task learning, LSTM, deep learning  
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：397/67  |  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  
An efficient realization of deep learning for traffic data imputation 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2016, 卷号: 72, 页码: 168-181
作者:  Duan, Yanjie;  Lv, Yisheng;  Liu, Yu-Liang;  Wang, Fei-Yue
Adobe PDF(824Kb)  |  收藏  |  浏览/下载：600/288  |  提交时间：2017/02/14
Traffic Data Imputation  Deep Learning  Missing Data  
Traffic Flow Prediction With Big Data: A Deep Learning Approach 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 卷号: 16, 期号: 2, 页码: 865-873
作者:  Lv, Yisheng;  Duan, Yanjie;  Kang, Wenwen;  Li, Zhengxi;  Wang, Fei-Yue
浏览  |  Adobe PDF(1520Kb)  |  收藏  |  浏览/下载：3872/2351  |  提交时间：2015/09/21
Deep Learning  Stacked Autoencoders (Saes)  Traffic Flow Prediction