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| Privacy Protection for Blockchain-Based Healthcare IoT Systems: A Survey 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 8, 页码: 1757-1776 作者: Minfeng Qi; Ziyuan Wang; Qing-Long Han; Jun Zhang; Shiping Chen; Yang Xiang Adobe PDF(2394Kb)  |  收藏  |  浏览/下载:9/5  |  提交时间:2024/07/16 Blockchain internet of healthcare things (IoHT) privacy-preserving techniques (PPTs) |
| State-Based Opacity Verification of Networked Discrete Event Systems Using Labeled Petri Nets 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1274-1291 作者: Yifan Dong; Naiqi Wu; Zhiwu Li Adobe PDF(7338Kb)  |  收藏  |  浏览/下载:82/30  |  提交时间:2024/04/10 Labeled Petri net multi-valued decision diagram networked discrete event system state-based opacity |
| Dynamic Event-Triggered Quadratic Nonfragile Filtering for Non-Gaussian Systems: Tackling Multiplicative Noises and Missing Measurements 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1127-1138 作者: Shaoying Wang; Zidong Wang; Hongli Dong; Yun Chen; Guoping Lu Adobe PDF(1874Kb)  |  收藏  |  浏览/下载:51/10  |  提交时间:2024/04/10 Dynamic event-triggered scheme missing measurements multiplicative noises (MNs) non-Gaussian noises quadratic filter |
| 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:59/7  |  提交时间:2024/04/10 Computer vision deep learning few-shot learning low-shot learning semantic segmentation zero-shot learning |
| Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038 作者: Xiao Xue; Deyu Zhou; Xiangning Yu; Gang Wang; Juanjuan Li; Xia Xie; Lizhen Cui; Fei-Yue Wang Adobe PDF(7239Kb)  |  收藏  |  浏览/下载:69/17  |  提交时间:2024/03/18 Agent-based modeling computational experiments cyber-physical-social systems (CPSS) generative deduction generative experiments meta model |
| Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 919-931 作者: Fei Ming; Wenyin Gong; Ling Wang; Yaochu Jin Adobe PDF(2091Kb)  |  收藏  |  浏览/下载:79/34  |  提交时间:2024/03/18 Constrained multi-objective optimization deep Q-learning deep reinforcement learning (DRL) evolutionary algorithms evolutionary operator selection |
| Depth-Guided Vision Transformer With Normalizing Flows for Monocular 3D Object Detection 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 673-689 作者: Cong Pan; Junran Peng; Zhaoxiang Zhang Adobe PDF(37784Kb)  |  收藏  |  浏览/下载:85/24  |  提交时间:2024/02/19 Monocular 3D object detection normalizing flows Swin Transformer |
| 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) |
| Even Search in a Promising Region for Constrained Multi-Objective Optimization 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 474-486 作者: Fei Ming; Wenyin Gong; Yaochu Jin Adobe PDF(1847Kb)  |  收藏  |  浏览/下载:83/41  |  提交时间:2024/01/23 Constrained multi-objective optimization even search evolutionary algorithms promising region real-world problems |
| UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 430-445 作者: Jiawen Kang; Junlong Chen; Minrui Xu; Zehui Xiong; Yutao Jiao; Luchao Han; Dusit Niyato; Yongju Tong; Shengli Xie Adobe PDF(6097Kb)  |  收藏  |  浏览/下载:94/21  |  提交时间:2024/01/23 Avatar blockchain metaverses multi-agent deep reinforcement learning transformer UAVs |