CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共6条,第1-6条 帮助

限定条件            
已选(0)清除 条数/页:   排序方式:
A Collaborative Communication-Qmix Approach for Large-scale Networked Traffic Signal Control 会议论文
, Indianapolis, IN, United States, 2021-9-19
作者:  Chen, Xiaoyu;  Xiong, Gang;  Lv, Yisheng;  Chen, yuanyuan;  Song, bing;  Wang, Feiyue
Adobe PDF(1208Kb)  |  收藏  |  浏览/下载:274/71  |  提交时间:2022/06/16
Skywork-daVinci: A novel CPSS-based painting support system 会议论文
, Online Zoom Meeting, 2020.8.20-21
作者:  Guo Chao;  Bai Tianxiang;  Lu Yue;  Lin Yilun;  Wang Xiao;  Wang Fei-yue
Adobe PDF(2307Kb)  |  收藏  |  浏览/下载:179/41  |  提交时间:2022/06/16
平行艺术  机器人绘画  机器辅助创作  
Relaying Algorithm based on Soft Estimated Information for Cooperative V2X Networks 会议论文
, Yokohama, JAPAN., 2017-10-16
作者:  Han, Shuangshuang;  Wang, Yingchun;  Yao, Tingting;  Zhu, Fenghua;  Xiong, Gang;  Cao, Dongpu;  Wang, Fei-Yue
Adobe PDF(199Kb)  |  收藏  |  浏览/下载:341/138  |  提交时间:2017/09/13
Memetic Algorithm with Adaptive Local Search for Capacitated Arc Routing Problem 会议论文
, Yokohama, JAPAN., 2017-10-16
作者:  Yao, Tingting;  Yao, Xin;  Han, Shuangshuang;  Wang, Yingchun;  Cao, Dongpu;  Wang, Fei-Yue
浏览  |  Adobe PDF(591Kb)  |  收藏  |  浏览/下载:320/130  |  提交时间:2017/09/13
Parallel System Method to Improve Safety and Reliability of Nuclear Power Plants 会议论文
IEEE World Congresson Intelligent Control and Automation (WCICA), Taiwan, China, 2011
作者:  Xiong, Gang;  Hou, Jiachen;  Wang, Feiyue;  Nyberg, Timo R;  Zhang, Jialin;  Fu, ManChang
浏览  |  Adobe PDF(1441Kb)  |  收藏  |  浏览/下载:274/83  |  提交时间:2015/08/19
Computational experiments for studying impacts of land use on traffic systems 会议论文
IEEE International Conference on Intelligent Transportation Systems (ITSC), Madeira Island, Portugal, 2010
作者:  Ou, Yan;  Tang, Shuming;  Wang, Fei-Yue
浏览  |  Adobe PDF(270Kb)  |  收藏  |  浏览/下载:323/116  |  提交时间:2015/08/19
Traffic Engineering Computing  Regression Analysis  Road Traffic  Attraction Ratio  Land Use Impact  Traffic System  Transworld  Artificial Transportation System  Road Network  Factorial Design