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9条，第1-9条 帮助

限定条件                
已选(0)清除 条数/页：   排序方式：
Foundation Models for Transportation Intelligence: ITS Convergence in TransVerse 期刊论文
IEEE Intelligent Systems, 2022, 卷号: 37, 期号: 6, 页码: 77-82
作者:  Zhao, Chen;  Dai, Xingyuan;  Yisheng Lv;  Tian, Yonglin;  Ren, Yuhai;  Wang, Fei-Yue
Adobe PDF(2790Kb)  |  收藏  |  浏览/下载：43/12  |  提交时间：2024/05/28
Crowdsensing Intelligence by Decentralized Autonomous Vehicles Organizations and Operations 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 4, 页码: 804-808
作者:  Zhu, Zhengqiu;  Wang, Xiao;  Zhao, Yong;  Qiu, Sihang;  Liu, Zhong;  Chen, Bin;  Wang, Fei-Yue
收藏  |  浏览/下载：94/0  |  提交时间：2023/03/20
Blockchains  Autonomous vehicles  Smart contracts  Privacy  Crowdsensing  Security  Data privacy  Connected vehicles  Connected and autonomous vehicles  vehicular crowdsensing  blockchain technology  
Parallel Driving OS: A Ubiquitous Operating System for Autonomous Driving in CPSS 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 4, 页码: 886-895
作者:  Chen, Long;  Zhang, Yunqing;  Tian, Bin;  Ai, Yunfeng;  Cao, Dongpu;  Wang, Fei-Yue
收藏  |  浏览/下载：167/0  |  提交时间：2023/03/20
Autonomous vehicles  Operating systems  Robots  Behavioral sciences  Complex systems  Training  Vehicle safety  Ubiquitous computing  Autonomous driving  intelligent vehicle  parallel driving operating system  ubiquitous operating system  
Feature-Contrastive Graph Federated Learning: Responsible AI in Graph Information Analysis 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 11
作者:  Zeng, Xingjie;  Zhou, Tao;  Bao, Zhicheng;  Zhao, Hongwei;  Chen, Leiming;  Wang, Xiao;  Wang, Feiyue
收藏  |  浏览/下载：253/0  |  提交时间：2023/02/22
Federated learning  Data models  Artificial intelligence  Graph neural networks  Training  Learning systems  Servers  graph neural networks  responsible artificial intelligence (AI)  weight divergence  weight similarity evaluation  
Making Standards for Smart Mining Operations: Intelligent Vehicles for Autonomous Mining Transportation 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 3, 页码: 413-416
作者:  Ge, Shirong;  Wang, Fei-Yue;  Yang, Jianjian;  Ding, Zhen;  Wang, Xiao;  Li, Yuchen;  Teng, Siyu;  Liu, Zhongmin;  Ai, Yunfeng;  Chen, Long
收藏  |  浏览/下载：286/0  |  提交时间：2022/11/28
Autonomous vehicles  Standards  Production  Safety  Data mining  Transportation  Roads  Intelligent mining  parallel intelligence  parallel mining operation systems  autonomous transportation  smart mining standards  
Image-Based Traffic Signal Control via World Models 期刊论文
Frontiers of Information Technology & Electronic Engineering, 2022, 页码: 0
作者:  Dai, Xingyuan;  Zhao, Chen;  Wang, Xiao;  Lv, Yisheng;  Lin, Yilun;  Wang, Fei-Yue
收藏  |  浏览/下载：164/0  |  提交时间：2022/10/11
Tabular Learning-Based Traffic Event Prediction for Intelligent Social Transportation System 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 12
作者:  Sun, Chen;  Li, Shen;  Cao, Dongpu;  Wang, Fei-Yue;  Khajepour, Amir
收藏  |  浏览/下载：189/0  |  提交时间：2022/07/25
Accidents  Data models  Predictive models  Roads  Analytical models  Vehicles  Sun  Crowd sourcing  social transportation system  tabular learning  traffic prediction  
Future Directions of Intelligent Vehicles: Potentials, Possibilities, and Perspectives 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 1, 页码: 7-10
作者:  Cao, Dongpu;  Wang, Xiao;  Li, Lingxi;  Lv, Chen;  Na, Xiaoxiang;  Xing, Yang;  Li, Xuan;  Li, Ying;  Chen, Yuanyuan;  Wang, Fei-Yue
收藏  |  浏览/下载：261/0  |  提交时间：2022/06/10
Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Lu, Chao;  Lv, Chen;  Gong, Jianwei;  Wang, Wenshuo;  Cao, Dongpu;  Wang, Fei-Yue
收藏  |  浏览/下载：281/0  |  提交时间：2022/06/10
Vehicles  Adaptation models  Data models  Hidden Markov models  Knowledge transfer  Transfer learning  Training  Driver behaviour  driver model adaptation  transfer learning  importance weight