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| Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1458-1475 作者: Jing Liang; Hongyu Lin; Caitong Yue; Ponnuthurai Nagaratnam Suganthan; Yaonan Wang Adobe PDF(2268Kb)  |  收藏  |  浏览/下载:2/1  |  提交时间:2024/05/22 Benchmark functions diversity measure evolutionary algorithms multimodal multiobjective optimization |
| 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:4/1  |  提交时间:2024/05/22 Curve similarity matching Gaussian-like noise non-parametric scheme parzen window |
| 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:3/1  |  提交时间:2024/05/22 Convolutional neural network deep learning recurrent neural network turbulence prediction wind load prediction |
| 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:2/0  |  提交时间:2024/05/22 Out-of-distribution detection traceability analysis trustworthy fault diagnosis uncertainty quantification |
| Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1106-1126 作者: Wenqi Ren; Yang Tang; Qiyu Sun; Chaoqiang Zhao; Qing-Long Han Adobe PDF(12695Kb)  |  收藏  |  浏览/下载:21/2  |  提交时间:2024/04/10 Computer vision deep learning few-shot learning low-shot learning semantic segmentation zero-shot learning |
| Evolutionary Optimization Methods for High-Dimensional Expensive Problems: A Survey 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1092-1105 作者: MengChu Zhou; Meiji Cui; Dian Xu; Shuwei Zhu; Ziyan Zhao; Abdullah Abusorrah Adobe PDF(2100Kb)  |  收藏  |  浏览/下载:19/3  |  提交时间:2024/04/10 Evolutionary algorithm (EA) high-dimensional expensive problems (HEPs) industrial applications surrogate-assisted optimization |
| Intuitive Human-Robot-Environment Interaction With EMG Signals: A Review 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1075-1091 作者: Dezhen Xiong; Daohui Zhang; Yaqi Chu; Yiwen Zhao; Xingang Zhao Adobe PDF(5061Kb)  |  收藏  |  浏览/下载:28/7  |  提交时间:2024/04/10 Electromyography human-robot-environment interaction (HREI) human-robot interaction (HRI) semiautonomous sensory feedback |
| 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:34/15  |  提交时间:2024/03/18 Crowd density estimation linear feature calibration vision transformer weakly-supervision learning |
| A Novel Sensing Imaging Equipment Under Extremely Dim Light for Blast Furnace Burden Surface: Starlight High-Temperature Industrial Endoscope 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 893-906 作者: Zhipeng Chen; Xinyi Wang; Weihua Gui; Jilin Zhu; Chunhua Yang; Zhaohui Jiang Adobe PDF(11937Kb)  |  收藏  |  浏览/下载:29/4  |  提交时间:2024/03/18 Blast furnace (BF) burden surface extremely dim light industrial endoscope sensing imaging starlight |
| Data-Based Filters for Non-Gaussian Dynamic Systems With Unknown Output Noise Covariance 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 866-877 作者: Elham Javanfar; Mehdi Rahmani Adobe PDF(1291Kb)  |  收藏  |  浏览/下载:32/8  |  提交时间:2024/03/18 Data-based filter maximum likelihood estimation unknown covariance weighted maximum likelihood estimation weighted sum-of-norms clustering |