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A Semisupervised 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:  Li, Zhishuai;  Xiong, Gang;  Wei, Zebing;  Lv, Yisheng;  Anwar, Noreen;  Wang, Fei-Yue
收藏  |  浏览/下载：178/0  |  提交时间：2022/07/25
GPS trajectory  human mobility  semi-supervised learning  transportation mode detection (TMD)  
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：180/0  |  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)  
3D-RVP: A method for 3D object reconstruction from a single depth view using voxel and point 期刊论文
NEUROCOMPUTING, 2021, 卷号: 430, 期号: 2021, 页码: 94-103
作者:  Zhao, Meihua;  Xiong, Gang;  Zhou, MengChu;  Shen, Zhen;  Wang, Fei-Yue
Adobe PDF(1476Kb)  |  收藏  |  浏览/下载：268/33  |  提交时间：2021/03/29
3D object reconstruction  Encoder-decoder network  Machine learning  Point prediction network  
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：255/0  |  提交时间：2020/08/03
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：241/0  |  提交时间：2019/12/16
3D printing  additive manufacturing  cyber-physical system (CPS)  deep learning  error compensation