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| A LiDAR Point Clouds Dataset of Ships in a Maritime Environment 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1681-1694 作者: Qiuyu Zhang; Lipeng Wang; Hao Meng; Wen Zhang; Genghua Huang
Adobe PDF(10728Kb)  |   收藏  |  浏览/下载:53/21  |  提交时间:2024/06/07 3D point clouds dataset dynamic tail wave fog simulation rainy simulation simulated data |
| Industry-oriented Detection Method of PCBA Defects Using Semantic Segmentation Models 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1438-1446 作者: Yang Li; Xiao Wang ; Zhifan He; Ze Wang; Ke Cheng ; Sanchuan Ding; Yijing Fan; Xiaotao Li; Yawen Niu; Shanpeng Xiao; Zhenqi Hao; Bin Gao ; Huaqiang Wu
Adobe PDF(12898Kb)  |   收藏  |  浏览/下载:45/15  |  提交时间:2024/05/22 Automated optical inspection (AOI) deep learning defect detection printed circuit board assembly (PCBA) semantic segmentation |
| Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 982-995 作者: Tao Wang ; Qiming Chen; Xun Lang; Lei Xie; Peng Li; Hongye Su
Adobe PDF(3095Kb)  |   收藏  |  浏览/下载:84/25  |  提交时间:2024/03/18 Convolutional neural networks (CNNs) deep learning image processing oscillation detection process industries |
| 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:72/31  |  提交时间:2024/03/18 Crowd density estimation linear feature calibration vision transformer weakly-supervision learning |
| Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 932-945 作者: Bin Yang ; Yaguo Lei; Xiang Li ; Naipeng Li; Asoke K. Nandi
Adobe PDF(18822Kb)  |   收藏  |  浏览/下载:69/14  |  提交时间:2024/03/18 Deep transfer learning domain adaptation incorrect label annotation intelligent fault diagnosis rotating machines |
| A Fractional-Order Ultra-Local Model-Based Adaptive Neural Network Sliding Mode Control of n-DOF Upper-Limb Exoskeleton With Input Deadzone 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 760-781 作者: Dingxin He; HaoPing Wang; Yang Tian; Yida Guo
Adobe PDF(9812Kb)  |   收藏  |  浏览/下载:98/22  |  提交时间:2024/02/19 Adaptive control input deadzone model-free control n-DOF upper-limb exoskeleton neural network |
| End-to-End Paired Ambisonic-Binaural Audio Rendering 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 502-513 作者: Yin Zhu; Qiuqiang Kong; Junjie Shi; Shilei Liu; Xuzhou Ye; Ju-Chiang Wang; Hongming Shan; Junping Zhang
Adobe PDF(9612Kb)  |   收藏  |  浏览/下载:98/32  |  提交时间:2024/01/23 Ambisonic attention binaural rendering neural network |
| 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:97/25  |  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:79/19  |  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:70/25  |  提交时间:2024/01/23 Process control process systems engineering reinforcement learning |