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外部干扰和随机DoS攻击下的网联车安全H∞队列控制 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 2, 页码: 348-355
作者:  宋秀兰;  李洋阳;  何德峰
Adobe PDF(1732Kb)  |  收藏  |  浏览/下载：12/5  |  提交时间：2024/04/12
网联自主车辆  队列控制  安全控制  随机DoS攻击  稳定性  
Control Strategies for Digital Twin Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 170-180
作者:  Guo-Ping Liu
Adobe PDF(1689Kb)  |  收藏  |  浏览/下载：172/118  |  提交时间：2024/01/02
Digital twin control systems  fault tolerant control  model tracking  performance prediction  performance retention  
Dynamic Event-Triggered Consensus Control for Input Constrained Multi-Agent Systems With a Designable Minimum Inter-Event Time 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 649-660
作者:  Meilin Li;  Yue Long;  Tieshan Li;  Hongjing Liang;  C. L. Philip Chen
Adobe PDF(5016Kb)  |  收藏  |  浏览/下载：56/24  |  提交时间：2024/02/19
Constrained input  designable minimum inter-event time  directed communication topology  dynamic event-triggered mechanism  MASs consensus control  
Decentralized Optimal Control and Stabilization of Interconnected Systems With Asymmetric Information 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 698-707
作者:  Na Wang;  Xiao Liang;  Hongdan Li;  Xiao Lu
Adobe PDF(1683Kb)  |  收藏  |  浏览/下载：36/15  |  提交时间：2024/02/19
Asymmetric information  decentralized control  forward-backward stochastic difference equations  interconnected system  stalibization  
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  
A Simple yet Effective Framework for Active Learning to Rank 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 169-183
作者:  Qingzhong Wang;  Haifang Li;  Haoyi Xiong;  Wen Wang;  Jiang Bian;  Yu Lu;  Shuaiqiang Wang;  Zhicong Cheng;  Dejing Dou;  Dawei Yin
Adobe PDF(2194Kb)  |  收藏  |  浏览/下载：3/2  |  提交时间：2024/04/23
Search, information retrieval, learning to rank, active learning, query by committee  
GraphFlow+: Exploiting Conversation Flow in Conversational Machine Comprehension with Graph Neural Networks 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 272-282
作者:  Jing Hu;  Lingfei Wu;  Yu Chen;  Po Hu;  Mohammed J. Zaki
Adobe PDF(1612Kb)  |  收藏  |  浏览/下载：4/2  |  提交时间：2024/04/23
Conversational machine comprehension (MC), reading comprehension, question answering, graph neural networks (GNNs), natural language processing (NLP)  
Machine learning model for predicting physical activity related bleeding risk in Chinese boys with haemophilia A 期刊论文
THROMBOSIS RESEARCH, 2023, 卷号: 232, 页码: 43-53
作者:  Ai, Di;  Cui, Chang;  Tang, Yongqiang;  Wang, Yan;  Zhang, Ningning;  Zhang, Chenyang;  Zhen, Yingzi;  Li, Gang;  Huang, Kun;  Liu, Guoqing;  Chen, Zhenping;  Zhang, Wensheng;  Wu, Runhui
收藏  |  浏览/下载：7/0  |  提交时间：2024/03/26
Haemophilia  Children  Machine learning  Bleeding predictive modelling  Physical activity  
MLDA: Multi-Loss Domain Adaptor for Cross-Session and Cross-Emotion EEG-Based Individual Identification 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2023, 卷号: 27, 期号: 12, 页码: 5767-5778
作者:  Miao, Yifan;  Jiang, Wanqing;  Su, Nuo;  Shan, Jun;  Jiang, Tianzi;  Zuo, Nianming
收藏  |  浏览/下载：15/0  |  提交时间：2024/03/26
Electroencephalography  Feature extraction  Task analysis  Support vector machines  Recording  Motion pictures  Brain modeling  EEG  biometric  across mental states  across time  deep learning  domain adaptation