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22条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
基于区块链的联邦学习: 模型、方法与应用 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 6, 页码: 1059-1085
作者:  李程;  袁勇;  郑志勇;  杨东;  王飞跃
Adobe PDF(2337Kb)  |  收藏  |  浏览/下载：32/15  |  提交时间：2024/07/02
区块链  联邦学习  智能合约  机器学习  隐私保护  
The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0 期刊论文
Information Fusion, 2024, 卷号: 107, 页码: 1-16
作者:  Xiao Wang;  Yutong Wang;  Jing Yang;  Xiaofeng Jia;  Lijun Li;  Weiping Ding;  Fei-Yue Wang
Adobe PDF(4446Kb)  |  收藏  |  浏览/下载：57/11  |  提交时间：2024/06/06
Multi-source data fusion  CPSS  Industrial metaverses  Parallel manufacturing  Social manufacturing  
Social Radars: Finding Targets in Cyberspace for Cybersecurity 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 279-282
作者:  Lili Fan;  Changxian Zeng;  Yutong Wang;  Jiaqi Ma;  Fei-Yue Wang
Adobe PDF(10180Kb)  |  收藏  |  浏览/下载：103/17  |  提交时间：2024/01/23
Parallel Vision for Long-tail Regularization: Initial Results from IVFC Autonomous Driving Testing 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 页码: 14
作者:  Jiangong Wang;  Xiao Wang;  Tianyu Shen;  Yutong Wang;  Li Li;  Yonglin Tian;  Hui Yu;  Long Chen;  Jingmin Xin;  Xiangbin Wu;  Nanning Zheng;  Fei-Yue Wang
Adobe PDF(5843Kb)  |  收藏  |  浏览/下载：166/45  |  提交时间：2023/06/25
Pavement Cracks Coupled With Shadows: A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1593-1607
作者:  Lili Fan;  Shen Li;  Ying Li;  Bai Li;  Dongpu Cao;  Fei-Yue Wang
Adobe PDF(23502Kb)  |  收藏  |  浏览/下载：126/17  |  提交时间：2023/06/14
Automatic pavement crack detection  data augmentation compensation  deep learning  residual feature augmentation  shadow removal  shadow-crack dataset  
SST-GAN: Single Sample-based Realistic Traffic Image Generation for Parallel Vision 会议论文
, Macau, China, 2022-10-08~2022-10-12
作者:  Jiangong Wang;  Yutong Wang;  Yonglin Tian;  Xiao Wang;  Fei-Yue Wang
Adobe PDF(1971Kb)  |  收藏  |  浏览/下载：141/35  |  提交时间：2023/05/17
The Development of AgriVerse: Past, Present, and Future 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 10
作者:  Kang, Mengzhen;  Wang, Xiujuan;  Wang, Haoyu;  Hua, Jing;  de Reffye, Philippe;  Wang, Fei-Yue
Adobe PDF(4290Kb)  |  收藏  |  浏览/下载：341/89  |  提交时间：2023/02/22
Computational modeling  Biological systems  Biomass  Biological system modeling  Production  Plants (biology)  Metaverse  Agricultural metaverse (AgriVerse)  agriculture cyber-physical-social system (CPSS)  artificial systems  computational experiments  and parallel execution (ACP)  decentralized science (DeSci)  knowledge-and-data driven modeling  parallel agriculture  plant model  
Learning Markets: An AI Collaboration Framework Based on Blockchain and Smart Contracts 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 16, 页码: 14273-14286
作者:  Ouyang, Liwei;  Yuan, Yong;  Wang, Fei-Yue
Adobe PDF(2684Kb)  |  收藏  |  浏览/下载：546/55  |  提交时间：2022/09/19
Collaboration  Artificial intelligence  Data models  Computational modeling  Smart contracts  Blockchain  Distributed databases  Artificial intelligence (AI) collaboration  blockchain  ensemble learning  federated learning (FL)  smart contracts  
Exploring Image Generation for UAV Change Detection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 6, 页码: 1061-1072
作者:  Xuan Li;  Haibin Duan;  Yonglin Tian;  Fei-Yue Wang
Adobe PDF(6339Kb)  |  收藏  |  浏览/下载：220/70  |  提交时间：2022/05/30
Change detection  computer graphics  image translation  simulated images  synthetic images  unmanned aerial vehicles (UAVs)  
FISS GAN: A Generative Adversarial Network for Foggy Image Semantic Segmentation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 8, 页码: 1428-1439
作者:  Kunhua Liu;  Zihao Ye;  Hongyan Guo;  Dongpu Cao;  Long Chen;  Fei-Yue Wang
Adobe PDF(16859Kb)  |  收藏  |  浏览/下载：214/36  |  提交时间：2021/06/11
Edge GAN  foggy images  foggy image semantic segmentation GAN  semantic segmentation