已选(0)清除
条数/页: 排序方式: |
| Cascading Delays for the High-Speed Rail Network Under Different Emergencies: A Double Layer Network Approach 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 2014-2025 作者: Xingtang Wu; Mingkun Yang; Wenbo Lian; Min Zhou ; Hongwei Wang ; Hairong Dong
Adobe PDF(2179Kb)  |   收藏  |  浏览/下载:154/51  |  提交时间:2023/09/07 Delay propagation double layer network high speed rail network max-plus algebra |
| AUTOSIM: Automated Urban Traffic Operation Simulation via Meta-Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1871-1881 作者: Yuanqi Qin; Wen Hua; Junchen Jin; Jun Ge; Xingyuan Dai ; Lingxi Li; Xiao Wang ; Fei-Yue Wang![](/image/person.jpg)
Adobe PDF(3244Kb)  |   收藏  |  浏览/下载:124/26  |  提交时间:2023/08/10 Conditional generative adversarial network signalized urban networks short-term link speed prediction |
| Transformer-Based Macroscopic Regulation for High-Speed Railway Timetable Rescheduling 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1822-1833 作者: Wei Xu; Chen Zhao; Jie Cheng; Yin Wang ; Yiqing Tang; Tao Zhang; Zhiming Yuan; Yisheng Lv ; Fei-Yue Wang![](/image/person.jpg)
Adobe PDF(3484Kb)  |   收藏  |  浏览/下载:144/66  |  提交时间:2023/08/10 High-speed railway reinforcement learning train timetable rescheduling Transformer |
| How Generative Adversarial Networks Promote the Development of Intelligent Transportation Systems: A Survey 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1781-1796 作者: Hongyi Lin; Yang Liu; Shen Li; Xiaobo Qu
Adobe PDF(1497Kb)  |   收藏  |  浏览/下载:239/145  |  提交时间:2023/08/10 Autonomous driving generative adversarial network (GAN) intelligent transportation system (ITS) traffic anomaly inspection traffic flow |
| RGCNU: Recurrent Graph Convolutional Network With Uncertainty Estimation for Remaining Useful Life Prediction 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1640-1642 作者: Qiwu Zhu; Qingyu Xiong; Zhengyi Yang ; Yang Yu![](/image/person.jpg)
Adobe PDF(438Kb)  |   收藏  |  浏览/下载:172/37  |  提交时间:2023/06/14 |
| 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![](/image/person.jpg)
Adobe PDF(23502Kb)  |   收藏  |  浏览/下载:124/16  |  提交时间:2023/06/14 Automatic pavement crack detection data augmentation compensation deep learning residual feature augmentation shadow removal shadow-crack dataset |
| Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1361-1387 作者: Sibo Cheng; César Quilodrán-Casas; Said Ouala; Alban Farchi; Che Liu; Pierre Tandeo; Ronan Fablet; Didier Lucor; Bertrand Iooss; Julien Brajard; Dunhui Xiao; Tijana Janjic; Weiping Ding; Yike Guo; Alberto Carrassi; Marc Bocquet; Rossella Arcucci
Adobe PDF(17725Kb)  |   收藏  |  浏览/下载:128/34  |  提交时间:2023/05/29 Data assimilation (DA) deep learning machine learning (ML) reduced-order-modelling uncertainty quantification (UQ) |
| Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1192-1208 作者: Zheyun Qin; Xiankai Lu; Xiushan Nie; Dongfang Liu; Yilong Yin; Wenguan Wang
Adobe PDF(42794Kb)  |   收藏  |  浏览/下载:100/30  |  提交时间:2023/04/26 Embedding learning generative model normalizing flows video instance segmentation (VIS) |
| STGSA: A Novel Spatial-Temporal Graph Synchronous Aggregation Model for Traffic Prediction 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 226-238 作者: Zebing Wei; Hongxia Zhao ; Zhishuai Li ; Xiaojie Bu; Yuanyuan Chen ; Xiqiao Zhang; Yisheng Lv ; Fei-Yue Wang![](/image/person.jpg)
Adobe PDF(7068Kb)  |   收藏  |  浏览/下载:308/75  |  提交时间:2023/01/03 Deep learning graph neural network (GNN) multi-stream spatial-temporal feature extraction temporal graph traffic prediction |