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检索条件"机构=Key Laboratory for Image Processing and Intelligence Control of the Ministry of Education"
1081 条 记 录,以下是21-30 订阅
排序:
Multimodal Brain-Computer Interfaces: AI-powered Decoding Methodologies
arXiv
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arXiv 2025年
作者: Li, Siyang Wang, Hongbin Chen, Xiaoqing Wu, Dongrui The Ministry of Education Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China The Henan Key Laboratory of Brain Science and Brain Computer Interface Technology School of Electrical and Information Engineering Zhengzhou University China
Brain-computer interfaces (BCIs) enable direct communication between the brain and external devices. This review highlights the core decoding algorithms that enable multimodal BCIs, including a dissection of the eleme... 详细信息
来源: 评论
Resilience-promoting day-ahead schedule in coastal integrated energy system considering subjective uncertainty
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Energy 2025年 328卷
作者: Yu, De-Qi Xiao, Jiang-Wen Wang, Yan-Wu School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Image Processing and Intelligent Control (Huazhong University of Science and Technology) Ministry of Education Wuhan 430074 China
This paper studies the resilience enhancement of the energy and water supply in coastal multi-energy system under extreme weather events. A resilience-promoting day-ahead scheduling model is proposed for coastal integ... 详细信息
来源: 评论
Revisiting Euclidean Alignment for Transfer Learning in EEG-Based Brain-Computer Interfaces
arXiv
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arXiv 2025年
作者: Wu, Dongrui Ministry of Education Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan430074 China Hubei Key Laboratory of Brain-inspired Intelligent Systems Huazhong University of Science and Technology Wuhan430074 China
Due to the non-stationarity and large individual differences of EEG signals, EEG-based brain-computer interfaces (BCIs) usually need subject-specific calibration to tailor the decoding algorithm for each new subject, ... 详细信息
来源: 评论
CMCRD: Cross-Modal Contrastive Representation Distillation for Emotion Recognition
arXiv
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arXiv 2025年
作者: Kan, Siyuan Wu, Huanyu Cui, Zhenyao Huang, Fan Xu, Xiaolong Wu, Dongrui Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Wuhan Institute of Digital Engineering Wuhan430074 China Shanghai Jiao Tong University Shanghai200240 China
Emotion recognition is an important component of affective computing, and also human-machine interaction. Unimodal emotion recognition is convenient, but the accuracy may not be high enough;on the contrary, multi-moda... 详细信息
来源: 评论
Finite-time sliding-mode control for semi-Markov systems with delayed impulses
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IEEE/CAA Journal of Automatica Sinica 2025年
作者: Ren, Fangmin Wang, Xiaoping Li, Yangmin Zeng, Zhigang The School of Artificial Intelligence and Automation The Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Hubei Key Laboratory of Braininspired Intelligent Systems Huazhong University of Science and Technology Wuhan430074 China The Department of Industrial and Systems Engineering The Hong Kong Polytechnic University Hong Kong999077 Hong Kong
来源: 评论
Generation Maintenance Scheduling for Power Systems Considering the Risk Quantification of Hybrid Uncertainty
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IEEE Transactions on Power Systems 2025年
作者: Yang, Xiao Zhao, Yong Li, Yuanzheng Huang, Cheng Ding, Qiang Key Laboratory of Image Information Processing and Intelligent Control of Ministry of Education of China Huazhong University of Science and Technology School of Artificial Intelligence and Automation Wuhan430074 China Power Science Research Institute of State Grid Jiangsu Electric Power Company China China Electric Power Research Institute Company China
The accurate quantification of risk caused by uncertainty forms a crucial foundation for formulating the generation maintenance scheduling (GMS) of power systems. However, the probability distribution functions (PDFs)... 详细信息
来源: 评论
Hierarchical finite-time optimization regulation of multiple autonomous surface vehicles for time-varying target cooperative tracking
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Kongzhi yu Juece/control and Decision 2025年 第1期40卷 279-284页
作者: Ge, Ming-Feng Li, Yi-Fan Liu, Zhi-Wei Gu, Zhi-Wei Chen, Qian School of Mechanical Engineering and Electronic Information China University of Geosciences Wuhan430074 China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of Imaging Processing and Intelligent Control Ministry of Education Huazhong University of Science and Technology Wuhan430074 China
We propose a novel hierarchical finite-time optimization regulation algorithm for multiple autonomous surface vehicles (ASVs) to achieve cooperative tracking of a time-varying target. An objective function reflecting ... 详细信息
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TSPT: Two-Step Prompt Tuning for class-incremental novel class discovery
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Knowledge-Based Systems 2025年 319卷
作者: An, Jiayu Du, Zhenbang Zhang, Herui Wu, Dongrui Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen518063 China
In real-world applications, models often encounter a sequence of unlabeled new tasks, each containing unknown classes. This paper explores class-incremental novel class discovery (class-iNCD), which requires maintaini... 详细信息
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Secure Consensus of Multi-agent Systems via Fully Distributed Dynamic Edge-based Event Triggered Under Denial-of-service Attacks
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International Journal of control, Automation and Systems 2025年 第5期23卷 1337-1355页
作者: Li, Lei Liu, Lei Yan, Dongmei Liang, Chengqing School of Mathematics Hohai University Nanjing 211100 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 China School of Modern Posts Nanjing University of Posts and Telecommunications Nanjing 210003 China College of Artificial Intelligence and Automation Hohai University Changzhou 213200 China Key Laboratory of Maritime Intelligent Cyberspace Technology Hohai University Ministry of Education Nanjing 210000 China
This paper addresses the issue of ensuring secure consensus in linear multi-agent systems under Denial-of-Service attacks. At the outset, to address the issue of partially observable agent states, a state observer is ... 详细信息
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Surrogate-Assisted Multiobjective Gene Selection for Cell Classification from Large-Scale Single-Cell RNA Sequencing Data
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IEEE Transactions on Evolutionary Computation 2025年 第3期29卷 601-615页
作者: Lin, Jianqing He, Cheng Jiang, Hanjing Huang, Yabing Jin, Yaochu Huazhong University of Science and Technology Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China School of Artificial Intelligence and Automation Wuhan430074 China Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Technology School of Electrical and Electronic Engineering Wuhan430074 China Renmin Hospital Department of Pathology Wuhan University Wuhan430060 China Westlake University Trustworth and General Artificial Intelligence Laboratory School of Engineering Hangzhou310030 China
Accurate cell classification is crucial but expensive for large-scale single-cell RNA sequencing (scRNA-seq) analysis. Gene selection (GS) emerges as a pivotal technique in identifying gene subsets of scRNA-seq for cl... 详细信息
来源: 评论