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检索条件"机构=Key Lab for Image Processing and Intelligent Control"
3832 条 记 录,以下是251-260 订阅
排序:
Composite Finite-Time Resilient control for Cyber-Physical Systems Subject to Actuator Attacks
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IEEE TRANSACTIONS ON CYBERNETICS 2023年 第2期53卷 1063-1077页
作者: Zhao, Yue Zhou, Chunjie Tian, Yu-Chu Qin, Yuanqing Huazhong Univ Sci & Technol Key Lab Sch Artificial Intelligence & Automat Minist Educ Image Proc & Intelligent Control Wuhan 430074 Peoples R China Queensland Univ Technol Sch Comp Sci Brisbane Qld 4001 Australia
Cyber-physical systems (CPSs) seamlessly integrate communication, computing, and control, thus exhibiting tight coupling of their cyber space with the physical world and human intervention. Forming the basis of future... 详细信息
来源: 评论
Dynamic Graph Dismantling with Reinforcement Supervised Learning  42
Dynamic Graph Dismantling with Reinforcement Supervised Lear...
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42nd Chinese control Conference, CCC 2023
作者: Wang, Yumei Tang, Chuancong Zhang, Hai-Tao School of Artificial Intelligence and Automation Huazhong University of Science and Technology The Engineering Research Center of Autonomous Intelligent Unmanned Systems The Key Laboratory of Image Processing and Intelligent Control The State Key Laboratory of Digital Manufacturing Equipment and Technology Wuhan430074 China
There are always some 'key' nodes in a big complex network, which can joint the most connected subgraphs. How to identify these nodes, finding a minimum set of nodes to attack for reducing the size of residual... 详细信息
来源: 评论
Uniform Solution to QSAT by P Systems with Proteins
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Chinese Journal of Electronics 2023年 第4期21卷 667-672页
作者: Chun LU Xiaolong SHI Department of Control Science and Engineering Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China
P systems are distributed parallel computing models in the area of membrane computing, which are inspired by the structure and the functioning of living cells, as well as the organization of cells in tissues, organs, ... 详细信息
来源: 评论
Spiking Neural P Systems With Communication on Request and Mute Rules
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IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2023年 第2期34卷 734-745页
作者: Wu, Tingfang Pan, Linqiang Soochow Univ Sch Comp Sci & Technol Prov Key Lab Comp Informat Proc Technol Suzhou 215006 Peoples R China Huazhong Univ Sci & Technol Inst Artificial Intelligence Sch Artificial Intelligence & Automat Key Lab Image Informat Proc & Intelligent Control Wuhan 430074 Peoples R China
Spiking neural P systems with communication on request (SNQP systems) are neurally inspired computing devices, where a neuron actively seeks spikes from presynaptic neurons instead of passively waiting for spikes. In ... 详细信息
来源: 评论
Neighborhood-based particle swarm optimization with discrete crossover for nonlinear equation systems
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SWARM AND EVOLUTIONARY COMPUTATION 2022年 69卷 101019-101019页
作者: Pan, Linqiang Zhao, Yi Li, Lianghao Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Informat Proc & Intelligent Control Educ Minist China Wuhan 430074 Peoples R China
Solving nonlinear equation systems (NESs) is important in engineering and science. In general, NESs have more than one root, and it is a great challenge to locate multiple roots in a single run for numerical computati... 详细信息
来源: 评论
Asynchronous homogenous spiking neural P systems with local rule synchronization
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THEORETICAL COMPUTER SCIENCE 2022年 926卷 51-61页
作者: Zhang, Luping Xu, Fei Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automation Key Lab Image Informat Proc & Intelligent Control Minist China Wuhan 430074 Hubei Peoples R China
Homogenous spiking neural P systems (HSNP systems) are a class of neuron-inspired computing models, where each neuron contains an identical set of rules. It remains open how to design universal asynchronous HSNP syste... 详细信息
来源: 评论
A dynamic multi-objective optimization approach for integrated timetabling and vehicle scheduling
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SWARM AND EVOLUTIONARY COMPUTATION 2025年 95卷
作者: Shen, Yindong Xie, Wenliang Huazhong Univ Sci & Technol Inst Artificial Intelligence Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol MOE Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China
Dynamic integrated timetabling and vehicle scheduling (D-ITVS) is essential for mitigating the negative impacts of service disruptions arising from the stochastic nature of traffic flow and passenger demand fluctuatio... 详细信息
来源: 评论
Identifying influential nodes based on the disassortativity and community structure of complex network
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SCIENTIFIC REPORTS 2024年 第1期14卷 1-23页
作者: Wang, Zuxi Huang, Ruixiang Yang, Dian Peng, Yuqiang Zhou, Boyun Chen, Zhong Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China Natl Key Lab Multispectral Informat Intelligent Pr Wuhan 430074 Peoples R China Minist Educ China Key Lab Image Informat Proc & Intelligent Control Wuhan 430074 Peoples R China Zhejiang Gongshang Univ Sch Informat & Elect Engn Hangzhou 310018 Peoples R China
The complex networks exhibit significant heterogeneity in node connections, resulting in a few nodes playing critical roles in various scenarios, including decision-making, disease control, and population immunity. Th...
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Prediction Study of Solid Oxide Fuel Cell Performance Degradation Using Data-Driven Approaches
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ENERGY TECHNOLOGY 2025年 第1期13卷
作者: Huo, Haibo Chen, Yu Afun, Gifty Pamela Kuang, Xinghong Xu, Jingxiang Li, Xi Shanghai Ocean Univ Coll Engn Sci & Technol Shanghai Engn Res Ctr Marine Renewable Energy Shanghai 201306 Peoples R China Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Proc & Intelligent Control Educ Minist Wuhan 430074 Peoples R China
Performance degradation in solid oxide fuel cells (SOFCs) leads to shorter service life and unexpected downtime. To reduce economic losses and accelerate commercialization, accurately predicting the degradation is con... 详细信息
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Deep Learning-based Serialized Model and Feature Extraction Algorithm for Solid Oxide Fuel Cell State Prediction  43
Deep Learning-based Serialized Model and Feature Extraction ...
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43rd Chinese control Conference, CCC 2024
作者: Wu, Jiajian Zhu, Kanglin Wu, Han Xiang, Guohui Li, Xi Huazhong University of Science and Technology School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent Control of Education Ministry Hubei Wuhan China Shenzhen Huazhong University of Science and Technology Research Institute Guangdong Shenzhen China
Deep learning-based methods have shown their wide application prospects in the field of solid oxide fuel cell(SOFC) prediction. However, the irrationality of the prediction object and the lack of prediction accuracy h... 详细信息
来源: 评论