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A Non-Parametric Scheme for Identifying Data Characteristic Based on Curve Similarity Matching 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1424-1437
作者:  Quanbo Ge;  Yang Cheng;  Hong Li;  Ziyi Ye;  Yi Zhu;  Gang Yao
Adobe PDF(2544Kb)  |  收藏  |  浏览/下载：58/17  |  提交时间：2024/05/22
Curve similarity matching  Gaussian-like noise  non-parametric scheme  parzen window  
Uncertainty-aware Deep Learning: A Promising Tool for Trustworthy Fault Diagnosis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1317-1330
作者:  Jiaxin Ren;  Jingcheng Wen;  Zhibin Zhao;  Ruqiang Yan;  Xuefeng Chen;  Asoke K. Nandi
Adobe PDF(16165Kb)  |  收藏  |  浏览/下载：39/7  |  提交时间：2024/05/22
Out-of-distribution detection  traceability analysis  trustworthy fault diagnosis  uncertainty quantification  
A Data-Driven Rutting Depth Short-Time Prediction Model With Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1918-1932
作者:  Zhuoxuan Li;  Iakov Korovin;  Xinli Shi;  Sergey Gorbachev;  Nadezhda Gorbacheva;  Wei Huang;  Jinde Cao
Adobe PDF(3879Kb)  |  收藏  |  浏览/下载：128/43  |  提交时间：2023/09/07
Extreme learning machine algorithm with residual correction (RELM), metaheuristic optimization  oil-gas transportation  RIOHTrack  rutting depth  
Geometry Flow-Based Deep Riemannian Metric Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1882-1892
作者:  Yangyang Li;  Chaoqun Fei;  Chuanqing Wang;  Hongming Shan;  Ruqian Lu
Adobe PDF(1815Kb)  |  收藏  |  浏览/下载：152/49  |  提交时间：2023/08/10
Curvature regularization  deep metric learning (DML)  embedding learning  geometry flow  riemannian metric  
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：122/16  |  提交时间：2023/06/14
Automatic pavement crack detection  data augmentation compensation  deep learning  residual feature augmentation  shadow removal  shadow-crack dataset  
A Chaotic Local Search-Based Particle Swarm Optimizer for Large-Scale Complex Wind Farm Layout Optimization 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1168-1180
作者:  Zhenyu Lei;  Shangce Gao;  Zhiming Zhang;  Haichuan Yang;  Haotian Li
Adobe PDF(4152Kb)  |  收藏  |  浏览/下载：175/63  |  提交时间：2023/04/26
Chaotic local search (CLS)  evolutionary computation  genetic learning  particle swarm optimization (PSO)  wake effect  wind farm layout optimization (WFLO)  
Parallel Learning: Overview and Perspective for Computational Learning Across Syn2Real and Sim2Real 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 603-631
作者:  Qinghai Miao;  Yisheng Lv;  Min Huang;  Xiao Wang;  Fei-Yue Wang
Adobe PDF(11937Kb)  |  收藏  |  浏览/下载：944/151  |  提交时间：2023/03/02
Machine learning  parallel learning  parallel systems  sim-to-real  syn-to-real  virtual-to-real  
An Adaptive Padding Correlation Filter With Group Feature Fusion for Robust Visual Tracking 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 10, 页码: 1845-1860
作者:  Zihang Feng;  Liping Yan;  Yuanqing Xia;  Bo Xiao
Adobe PDF(10973Kb)  |  收藏  |  浏览/下载：226/61  |  提交时间：2022/09/08
Adaptive padding  context information  correlation filter (CF)  feature group fusion  robust visual tracking  
A Triangulation-Based Visual Localization for Field Robots 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 6, 页码: 1083-1086
作者:  James Liang;  Yuxing Wang;  Yingjie Chen;  Baijian Yang;  Dongfang Liu
Adobe PDF(2958Kb)  |  收藏  |  浏览/下载：181/48  |  提交时间：2022/05/30
An Age-Dependent and State-Dependent Adaptive Prognostic Approach for Hidden Nonlinear Degrading System 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 907-921
作者:  Zhenan Pang;  Xiaosheng Si;  Changhua Hu;  Zhengxin Zhang
Adobe PDF(2264Kb)  |  收藏  |  浏览/下载：220/67  |  提交时间：2022/04/24
Expectation-maximization (EM)  hidden degradation state  Kalman filter (KF)  remaining useful life (RUL)  unit-to-unit variability