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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：259/0  |  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 Multi-Stream Feature Fusion Approach for Traffic Prediction 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2022, 卷号: 23, 期号: 2, 页码: 1456-1466
作者:  Zhishuai Li;  Gang Xiong;  Yonglin Tian;  Yisheng Lv;  Yuanyuan Chen;  Pan Hui;  Xiang Su
Adobe PDF(3248Kb)  |  收藏  |  浏览/下载：358/62  |  提交时间：2020/10/15
Traffic prediction, graph convolutional neural network, deep learning, multi-stream  
基于稀疏正则化的卷积神经网络模型剪枝方法 期刊论文
计算机工程, 2021, 卷号: 47, 期号: 10, 页码: 61-66
作者:  韦越;  陈世超;  朱凤华;  熊刚
Adobe PDF(1647Kb)  |  收藏  |  浏览/下载：220/61  |  提交时间：2022/04/08
深度学习, 模型剪枝 , 卷积神经网络 , 稀疏约束, 模型压缩  
Transfer learning for nonlinear batch process operation optimization 期刊论文
JOURNAL OF PROCESS CONTROL, 2021, 卷号: 101, 页码: 11-23
作者:  Chu, Fei;  Wang, Jiachen;  Zhao, Xu;  Zhang, Shuning;  Chen, Tao;  Jia, Runda;  Xiong, Gang
收藏  |  浏览/下载：190/0  |  提交时间：2021/06/07
Transfer learning  Nonlinear batch process  Insufficient data  Operation optimization  Data selection  
A Kind of Change Management Method for Global Value Chain Optimization and Its Case Study 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 页码: 15
作者:  Xiong, Guangyu;  Wu, Huaiyu;  Helo, Petri;  Shang, Xiuqin;  Xiong, Gang;  Qin, Rui;  Wang, Fei-Yue
收藏  |  浏览/下载：190/0  |  提交时间：2022/01/27
Organizations  Tools  Automation  Teamwork  Manufacturing  Leadership  Control systems  Change framework  change management  critical success factors (CSFs)  global value chain (GVC)  
Building Urban Public Traffic Dynamic Network Based on CPSS: An Integrated Approach of Big Data and AI 期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 3, 页码: 14
作者:  Xiong, Gang;  Li, Zhishuai;  Wu, Huaiyu;  Chen, Shichao;  Dong, Xisong;  Zhu, Fenghua;  Lv, Yisheng
收藏  |  浏览/下载：215/0  |  提交时间：2021/03/08
urban public transportation  cyber-physical-social system  advanced public transportation systems  big data  
Clinical application of an automatic facial recognition system based on deep learning for diagnosis of Turner syndrome 期刊论文
ENDOCRINE, 2020, 页码: 9
作者:  Pan, Zhouxian;  Shen, Zhen;  Zhu, Huijuan;  Bao, Yin;  Liang, Siyu;  Wang, Shirui;  Li, Xiangying;  Niu, Lulu;  Dong, Xisong;  Shang, Xiuqin;  Chen, Shi;  Pan, Hui;  Xiong, Gang
收藏  |  浏览/下载：212/0  |  提交时间：2021/01/06
Facial pattern recognition  Turner syndrome  Deep convolutional neural network  Prospective study  
The manufacturing procedure of 3D printed models for endoscopic endonasal transsphenoidal pituitary surgery 期刊论文
TECHNOLOGY AND HEALTH CARE, 2020, 卷号: 28, 页码: S131-S150
作者:  Shen, Zhen;  Xie, Yi;  Shang, Xiuqin;  Xiong, Gang;  Chen, Shi;  Yao, Yong;  Pan, Zhouxian;  Pan, Hui;  Dong, Xisong;  Li, Yuqing;  Guo, Chao;  Wang, Fei-Yue
收藏  |  浏览/下载：262/0  |  提交时间：2020/08/03
Endoscopic endonasal transsphenoidal pituitary surgery  3D printing  surgery simulation  pituitary tumor  
The manufacturing procedure of 3D printed models for endoscopic endonasal transsphenoidal pituitary surgery 期刊论文
Technology and Health Care, 2020, 期号: 13, 页码: 131-150
作者:  Shen Z(沈震);  Xie Y;  Shang XQ;  Xiong G;  Chen S;  Yao Y;  Pan ZX;  Pan H;  Dong XS;  Li YQ;  Guo C;  Wang F-Y
收藏  |  浏览/下载：130/0  |  提交时间：2020/11/05
Endoscopic endonasal transsphenoidal pituitary surgery  3D printing  surgery simulation  pituitary tumor  
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：250/0  |  提交时间：2019/12/16
3D printing  additive manufacturing  cyber-physical system (CPS)  deep learning  error compensation