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A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 824-850
作者:  M. Victoria Luzón;  Nuria Rodríguez-Barroso;  Alberto Argente-Garrido;  Daniel Jiménez-López;  Jose M. Moyano;  Javier Del Ser;  Weiping Ding;  Francisco Herrera
Adobe PDF(4602Kb)  |  收藏  |  浏览/下载：18/5  |  提交时间：2024/03/18
Data privacy  distributed machine learning  federated learning  software frameworks  
PAPS: Progressive Attention-Based Pan-sharpening 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 391-404
作者:  Yanan Jia;  Qiming Hu;  Renwei Dian;  Jiayi Ma;  Xiaojie Guo
Adobe PDF(10173Kb)  |  收藏  |  浏览/下载：34/8  |  提交时间：2024/01/23
High-resolution multispectral image  image fusion  pan-sharpening  progressive enhancement  
Orientation and Decision-Making for Soccer Based on Sports Analytics and AI: A Systematic Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 37-57
作者:  Zhiqiang Pu;  Yi Pan;  Shijie Wang;  Boyin Liu;  Min Chen;  Hao Ma;  Yixiong Cui
Adobe PDF(3690Kb)  |  收藏  |  浏览/下载：362/287  |  提交时间：2024/01/02
Artificial intelligence (AI)  decision-making  football  review  soccer  sports analytics  
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：79/23  |  提交时间：2023/04/26
Embedding learning  generative model  normalizing flows  video instance segmentation (VIS)  
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：98/59  |  提交时间：2023/08/10
Autonomous driving  generative adversarial network (GAN)  intelligent transportation system (ITS)  traffic anomaly inspection  traffic flow  
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：95/30  |  提交时间：2023/09/07
Delay propagation  double layer network  high speed rail network  max-plus algebra  
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
Adobe PDF(7068Kb)  |  收藏  |  浏览/下载：245/63  |  提交时间：2023/01/03
Deep learning  graph neural network (GNN)  multi-stream  spatial-temporal feature extraction  temporal graph  traffic 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
Adobe PDF(3484Kb)  |  收藏  |  浏览/下载：92/46  |  提交时间：2023/08/10
High-speed railway  reinforcement learning  train timetable rescheduling  Transformer  
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
Adobe PDF(3244Kb)  |  收藏  |  浏览/下载：77/16  |  提交时间：2023/08/10
Conditional generative adversarial network  signalized urban networks  short-term link speed prediction  
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：86/28  |  提交时间：2023/05/29
Data assimilation (DA)  deep learning  machine learning (ML)  reduced-order-modelling  uncertainty quantification (UQ)