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Mapping Network-coordinated Stacked Gated Recurrent Units for Turbulence Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1331-1341
作者:  Zhiming Zhang;  Shangce Gao;  MengChu Zhou;  Mengtao Yan;  Shuyang Cao
Adobe PDF(7172Kb)  |  收藏  |  浏览/下载:10/4  |  提交时间:2024/05/22
Convolutional neural network  deep learning  recurrent neural network  turbulence prediction  wind load prediction  
A Weakly-Supervised Crowd Density Estimation Method Based on Two-Stage Linear Feature Calibration 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 965-981
作者:  Yong-Chao Li;  Rui-Sheng Jia;  Ying-Xiang Hu;  Hong-Mei Sun
Adobe PDF(10448Kb)  |  收藏  |  浏览/下载:38/17  |  提交时间:2024/03/18
Crowd density estimation  linear feature calibration  vision transformer  weakly-supervision learning  
A Novel Tensor Decomposition-Based Efficient Detector for Low-Altitude Aerial Objects With Knowledge Distillation Scheme 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 487-501
作者:  Nianyin Zeng;  Xinyu Li;  Peishu Wu;  Han Li;  Xin Luo
Adobe PDF(12478Kb)  |  收藏  |  浏览/下载:69/18  |  提交时间:2024/01/23
Attention mechanism  knowledge distillation (KD)  object detection  tensor decomposition (TD)  unmanned aerial vehicles (UAVs)  
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:52/11  |  提交时间:2024/01/23
High-resolution multispectral image  image fusion  pan-sharpening  progressive enhancement  
Reinforcement Learning in Process Industries: Review and Perspective 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 283-300
作者:  Oguzhan Dogru;  Junyao Xie;  Om Prakash;  Ranjith Chiplunkar;  Jansen Soesanto;  Hongtian Chen;  Kirubakaran Velswamy;  Fadi Ibrahim;  Biao Huang
Adobe PDF(1275Kb)  |  收藏  |  浏览/下载:46/15  |  提交时间:2024/01/23
Process control  process systems engineering  reinforcement learning  
Multi-Objective Optimization for an Industrial Grinding and Classification Process Based on PBM and RSM 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2124-2135
作者:  Xiaoli Wang;  Luming Liu;  Lian Duan;  Qian Liao
Adobe PDF(5258Kb)  |  收藏  |  浏览/下载:85/34  |  提交时间:2023/09/22
Decision-making technique  grinding process  multi-objective optimization  response surface method (RSM)  
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:143/87  |  提交时间:2023/08/10
Autonomous driving  generative adversarial network (GAN)  intelligent transportation system (ITS)  traffic anomaly inspection  traffic flow  
Tensor Distribution Regression Based on the 3D Conventional Neural Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1628-1630
作者:  Lin Chen;  Xin Luo
Adobe PDF(769Kb)  |  收藏  |  浏览/下载:63/26  |  提交时间:2023/06/14
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:93/29  |  提交时间:2023/05/29
Data assimilation (DA)  deep learning  machine learning (ML)  reduced-order-modelling  uncertainty quantification (UQ)  
Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 524-546
作者:  Wentao Mao;  Gangsheng Wang;  Linlin Kou;  Xihui Liang
Adobe PDF(25706Kb)  |  收藏  |  浏览/下载:665/43  |  提交时间:2023/01/16
Anomaly detection  domain adaptation  domain-adversarial training  one-class classification  transfer learning