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CASIA OpenIR
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Two-Level Energy Control Strategy Based on ADP and A-ECMS for Series Hybrid Electric Vehicles 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Shen, Zhen;  Luo, Can;  Dong, Xisong;  Lu, Wanze;  Lv, Yisheng;  Xiong, Gang;  Wang, Fei-Yue
收藏  |  浏览/下载：313/0  |  提交时间：2022/03/17
Hybrid electric vehicles  Fuels  Electronic countermeasures  Minimization  Mechanical power transmission  Optimization  Energy management  Adaptive dynamic programming  adaptive-equivalent consumption minimization strategy  hybrid electric vehicle  energy control  
A Learning-Based Framework for Error Compensation in 3D Printing 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 11, 页码: 4042-4050
作者:  Shen, Zhen;  Shang, Xiuqin;  Zhao, Meihua;  Dong, Xisong;  Xiong, Gang;  Wang, Fei-Yue
收藏  |  浏览/下载：294/0  |  提交时间：2019/12/16
3D printing  additive manufacturing  cyber-physical system (CPS)  deep learning  error compensation  
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：403/115  |  提交时间：2019/10/10
Skull model  3D printing  Anatomy education  
DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 卷号: 103, 页码: 142-157
作者:  Dai, Xingyuan;  Fu, Rui;  Zhao, Enmin;  Zhang, Zuo;  Lin, Yilun;  Wang, Fei-Yue;  Li, Li
Adobe PDF(5109Kb)  |  收藏  |  浏览/下载：362/34  |  提交时间：2019/09/30
Traffic prediction  Deep learning  Detrending  Multi-scale traffic prediction  
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
浏览  |  Adobe PDF(623Kb)  |  收藏  |  浏览/下载：374/162  |  提交时间：2019/05/07
Traflic flow prediction  deep learning  generative adversarial network