中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共57条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
A Point-Based Neural Network for Real-Scenario Deformation Prediction in Additive Manufacturing 会议论文
, 成都希尔顿酒店, 2022年8月
作者:  Zhao, Meihua;  Xiong, Gang;  Wang, Weixing;  Fang, Qihang;  Shen, Zhen;  Wan, Li;  Zhu, Fenghua
Adobe PDF(1495Kb)  |  收藏  |  浏览/下载：121/31  |  提交时间：2023/06/27
Empirical Learning of Decision Parameters for Agent-Based Model 会议论文
, Macau, China, 2022
作者:  Song B(宋冰);  Xiong G(熊刚);  Zhu F（朱凤华）;  Wu X（武许可）;  Lv Y（吕宜生）;  Ye P（叶佩军）
Adobe PDF(1359Kb)  |  收藏  |  浏览/下载：136/49  |  提交时间：2023/06/26
An IoT Edge Computing System Architecture and its Application 会议论文
, Nanjing, China, Oct. 30 – Nov.2, 2020.
作者:  Shichao Chen;  Qijie Li;  Hua Zhang;  fenghua.zhu@ia.ac.cn;  Gang Xiong;  Ying Tang
Adobe PDF(4370Kb)  |  收藏  |  浏览/下载：209/72  |  提交时间：2022/04/08
IoT  Edge computing  Energy monitoring and optimization Introduction  
Research and Application of Industrial Equipment Management Service System Based on Cloud-Edge Collaboration 会议论文
, Hangzhou, China, NOV.22-24, 2019
作者:  Hua Zhang;  Shichao Chen;  Ping Zou;  Gang Xiong;  Hongxia Zhao;  Yicun Zhang
Adobe PDF(732Kb)  |  收藏  |  浏览/下载：190/48  |  提交时间：2022/04/08
Industrial Internet of Things (IIOT)  ,  Cloud-Edge Collaboration  Equipment Management  
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：216/65  |  提交时间：2022/04/08
Transportation mode detection , Semi-supervised learning, Human mobility , GPS trajectory.  
Design and Optimization of a Control Framework for Robot Assisted Additive Manufacturing Based on the Stewart Platform 期刊论文
International Journal of Control, Automation and Systems, 2022, 卷号: 20, 期号: 3, 页码: 968-982
作者:  Tamir, Tariku Sinshaw;  Xiong,Gang;  Dong,Xisong;  Fang,Qihang;  Liu,Sheng;  Lodhi,Ehtisham;  Shen,Zhen;  Wang, Fei-Yue
Adobe PDF(3410Kb)  |  收藏  |  浏览/下载：365/171  |  提交时间：2022/04/07
Additive Manufacturing, Extended Proportion-Derivation Sliding Mode Controller, Grey Wolf Optimization, Print Quality, Stewart Platform  
A Feedback-Based Print Quality Improving Strategy for FDM 3D Printing: An Optimal Design Approach 期刊论文
The International Journal of Advanced Manufacturing Technology, 2022, 期号: 2022, 页码: 1-15
作者:  Tamir, Tariku Sinshaw;  Xiong, Gang;  Fang,Qihang;  Dong,Xisong;  Shen,Zhen;  Wang,Fei-Yue
Adobe PDF(2116Kb)  |  收藏  |  浏览/下载：235/60  |  提交时间：2022/04/07
Industry4.0, 3D Printing, Print Quality, Error Causing Parameters, Deformations, Fuzzy Inference System  
Trip Purposes Mining From Mobile Signaling Data 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 99, 期号: 99, 页码: 13
作者:  Li, Zhishuai;  Xiong, Gang;  Wei, Zebing;  Zhang, Yu;  Zheng, Meng;  Liu, Xiaoli;  Tarkoma, Sasu;  Huang, Min;  Lv, Yisheng;  Wu, Chuheng
Adobe PDF(3962Kb)  |  收藏  |  浏览/下载：387/72  |  提交时间：2022/01/27
Cellular networks  Trajectory  Semantics  Unsupervised learning  Supervised learning  Resource management  Public transportation  Trip purpose inference  cellular network data  latent Dirichlet allocation  travel behavior  big data  
Research Progress of Parallel Control and Management 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 355-367
作者:  Gang Xiong;  Xisong Dong;  Hao Lu;  Dayong Shen
浏览  |  Adobe PDF(12654Kb)  |  收藏  |  浏览/下载：198/44  |  提交时间：2021/03/11
ACP methodology  artificial systems  computational experiments  parallel control  parallel management  parallel systems  
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：446/227  |  提交时间：2020/10/15
Intelligent transportation systems