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Cybersecurity Landscape on Remote State Estimation: A Comprehensive Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 851-865
作者:  Jing Zhou;  Jun Shang;  Tongwen Chen
Adobe PDF(1169Kb)  |  收藏  |  浏览/下载：17/4  |  提交时间：2024/03/18
Cyber-attacks  Kalman filtering  remote state estimation  unreliable transmission channels  
Feature Matching via Topology-Aware Graph Interaction Model 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 113-130
作者:  Yifan Lu;  Jiayi Ma;  Xiaoguang Mei;  Jun Huang;  Xiao-Ping Zhang
Adobe PDF(26799Kb)  |  收藏  |  浏览/下载：244/160  |  提交时间：2024/01/02
Feature matching  graph cut  outlier filtering  topology preserving  
基于粒度聚类的转炉炼钢氧气消耗量预测 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 1, 页码: 132-142
作者:  阳青锋;  赖旭芝;  杜胜;  胡杰;  陈略峰;  吴敏
Adobe PDF(2149Kb)  |  收藏  |  浏览/下载：26/10  |  提交时间：2024/04/12
转炉炼钢  氧气消耗预测  信息粒化  工况识别  
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：21/8  |  提交时间：2024/03/18
Crowd density estimation  linear feature calibration  vision transformer  weakly-supervision learning  
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：23/7  |  提交时间：2024/03/18
Constrained multi-objective optimization  deep Q-learning  deep reinforcement learning (DRL)  evolutionary algorithms  evolutionary operator selection  
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：11/2  |  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：8/3  |  提交时间：2024/04/10
Evolutionary algorithm (EA)  high-dimensional expensive problems (HEPs)  industrial applications  surrogate-assisted optimization  
Multimodal Data-Driven Reinforcement Learning for Operational Decision-Making in Industrial Processes 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 252-254
作者:  Chenliang Liu;  Yalin Wang;  Chunhua Yang;  Weihua Gui
Adobe PDF(661Kb)  |  收藏  |  浏览/下载：176/109  |  提交时间：2024/01/02
Multimodal Fusion of Brain Imaging Data: Methods and Applications 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 136-152
作者:  Na Luo;  Weiyang Shi;  Zhengyi Yang;  Ming Song;  Tianzi Jiang
Adobe PDF(1726Kb)  |  收藏  |  浏览/下载：5/1  |  提交时间：2024/04/23
Multimodal fusion, supervised learning, unsupervised learning, brain atlas, cognition, brain disorders  
A Soft Sensor with Light and Efficient Multi-scale Feature Method for Multiple Sampling Rates in Industrial Processing 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 400-410
作者:  Dezheng Wang;  Yinglong Wang;  Fan Yang;  Liyang Xu;  Yinong Zhang;  Yiran Chen;  Ning Liao
Adobe PDF(3208Kb)  |  收藏  |  浏览/下载：11/0  |  提交时间：2024/04/23
Multi-scale, feature extractor, deep neural network (DNN), multirate sampled industrial processes, prediction