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Computational Experiments for Complex Social Systems: Integrated Design of Experiment System 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1175-1189
作者:  Xiao Xue;  Xiangning Yu;  Deyu Zhou;  Xiao Wang;  Chongke Bi;  Shufang Wang;  Fei-Yue Wang
Adobe PDF(11890Kb)  |  收藏  |  浏览/下载：12/3  |  提交时间：2024/04/10
Artificial society  computational experiments  model integration  operation engine  technology integration  
Point Cloud Classification Using Content-Based Transformer via Clustering in Feature Space 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 231-239
作者:  Yahui Liu;  Bin Tian;  Yisheng Lv;  Lingxi Li;  Fei-Yue Wang
Adobe PDF(8541Kb)  |  收藏  |  浏览/下载：212/152  |  提交时间：2024/01/02
Content-based Transformer  deep learning  feature aggregator  local attention  point cloud classification  
Adaptively Enhancing Facial Expression Crucial Regions via a Local Non-local Joint Network 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 331-348
作者:  Guanghui Shi
Adobe PDF(3926Kb)  |  收藏  |  浏览/下载：30/12  |  提交时间：2024/04/03
Facial expression recognition, deep neural network, multiple network ensemble, attention network, facial crucial regions  
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：45/13  |  提交时间：2024/01/23
Attention mechanism  knowledge distillation (KD)  object detection  tensor decomposition (TD)  unmanned aerial vehicles (UAVs)  
Multiple Elite Individual Guided Piecewise Search-Based Differential Evolution 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 135-158
作者:  Shubham Gupta;  Shitu Singh;  Rong Su;  Shangce Gao;  Jagdish Chand Bansal
Adobe PDF(3042Kb)  |  收藏  |  浏览/下载：340/229  |  提交时间：2023/01/03
Control parameters  differential Evolution  metaheuristic algorithms  mutation operator  
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：95/57  |  提交时间：2023/08/10
Autonomous driving  generative adversarial network (GAN)  intelligent transportation system (ITS)  traffic anomaly inspection  traffic flow  
UltraStar: A Lightweight Simulator of Ultra-Dense LEO Satellite Constellation Networking for 6G 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 632-645
作者:  Xiaoyu Liu;  Ting Ma;  Zhixuan Tang;  Xiaohan Qin;  Haibo Zhou;  Xuemin (Sherman) Shen
Adobe PDF(6265Kb)  |  收藏  |  浏览/下载：134/50  |  提交时间：2023/03/02
Discrete event simulation (DES)  mega-constellation  network dynamics  performance evaluation  simulation architecture design  
YOLO-CORE: Contour Regression for Efficient Instance Segmentation 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 716-728
作者:  Haoliang Liu, Wei Xiong, Yu Zhang
Adobe PDF(11569Kb)  |  收藏  |  浏览/下载：64/11  |  提交时间：2023/09/25
Computer vision, instance segmentation, object shape prediction, contour regression, polar distance  
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：78/13  |  提交时间：2023/06/14
Automatic pavement crack detection  data augmentation compensation  deep learning  residual feature augmentation  shadow removal  shadow-crack dataset  
Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 3, 页码: 377-391
作者:  Jun Zhang;  Lei Pan;  Qing-Long Han;  Chao Chen;  Sheng Wen;  Yang Xiang
Adobe PDF(2314Kb)  |  收藏  |  浏览/下载：164/40  |  提交时间：2022/03/09
Cyber-physical system  cybersecurity  deep learning  intrusion detection  pattern classification