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检索条件"机构=State Key Laboratory of Image Processing and Intelligence Control"
797 条 记 录,以下是121-130 订阅
排序:
Model-independent event-based consensus of multiple Euler-Lagrange systems with input disturbances
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Information Sciences 2024年 675卷
作者: Long, Mingkang An, Qing Su, Housheng School of Artificial Intelligence and Automation Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan430074 China Artificial Intelligence School Wuchang University of Technology Wuhan430223 China
This paper investigates leaderless consensus (LLC) and leader-follower consensus (LFC) issues of multiple Euler-Lagrange systems (MELSs) with uncertain system parameters and input disturbances. Firstly, by utilizing e... 详细信息
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Reward Shaping-based Double Deep Q-networks for Unmanned Surface Vessel Navigation and Obstacle Avoidance  48
Reward Shaping-based Double Deep Q-networks for Unmanned Sur...
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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022
作者: Gan, Zihan Zheng, Jinghong Jiang, Zhenyu Lu, Renzhi Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Wuhan430074 China Wuhan University of Science and Technology Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan430081 China
In this paper, a method for navigation and obstacle avoidance of unmanned surface vessel (USV) based on reinforcement learning and reward shaping is proposed. This approach uses double deep Q networks (DDQN) to make d... 详细信息
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Fusion-CAM: Fine-Grained and High-Faithfulness Explanations for Deep Convolutional Network via Hierarchical Fusion
Fusion-CAM: Fine-Grained and High-Faithfulness Explanations ...
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IEEE Advanced Information Technology, Electronic and Automation control Conference (IAEAC)
作者: Chen Zheng Wei Li School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Image Processing and Intelligent Control Key Laboratory of the Education Ministry of China Wuhan China
The interpretability of the convolutional neural networks(CNNs) has become a research hotspot. A popular explanation method is based on Class Activation Mapping (CAM), which visualizes the salient regions most relevan...
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HTRNN: A New Protein Nuclear Localization Prediction Tool
HTRNN: A New Protein Nuclear Localization Prediction Tool
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IEEE Advanced Information Technology, Electronic and Automation control Conference (IAEAC)
作者: Xinyu Miao Wei Li School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Image Processing and Intelligent Control Key Laboratory of the Education Ministry of China Wuhan China
Current protein nuclear localization assays encounter multiple challenges that underscore the constraints of conventional biochemical assays and sequence-based procedures. This paper highlights the emerging interest i...
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A Robust Recognition and Segmentation Algorithm for Retaining Walls in Mining Scenes
A Robust Recognition and Segmentation Algorithm for Retainin...
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Chinese Automation Congress (CAC)
作者: Tian Zeng Li Xiao Gang Peng Aoze Wang Zhuo Wang Zhigang Sun Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Intelligence and Automation Huazhong University of Science and Technology Wuhan China
The key for bulldozers to realize automatic operation in mine scenes is whether they can accurately identify and accurately segment the retaining walls, however, because the point cloud dataset of the mine site is too...
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Learning Second-Order Attentive Context for Efficient Correspondence Pruning
arXiv
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arXiv 2023年
作者: Ye, Xinyi Zhao, Weiyue Lu, Hao Cao, Zhiguo Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Huazhong University of Science and Technology China
Correspondence pruning aims to search consistent correspondences (inliers) from a set of putative correspondences. It is challenging because of the disorganized spatial distribution of numerous outliers, especially wh... 详细信息
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A Dual-branch Model for Early Detection of Alzheimer’s Disease Using Resting-state fMRI
A Dual-branch Model for Early Detection of Alzheimer’s Dise...
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IEEE Advanced Information Technology, Electronic and Automation control Conference (IAEAC)
作者: Yixuan Wang Wei Li School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Image Processing and Intelligent Control Key Laboratory of the Education Ministry of China Wuhan China
Alzheimer’s disease (AD) is the most prevalent form of dementia, and early diagnosis is crucial for delaying and treating AD. Resting-state functional magnetic resonance imaging (rs-fMRI), a widely used medical imagi...
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An image enhancement algorithm based on multi-scale Retinex theory to improve the images quality of sensors  12
An image enhancement algorithm based on multi-scale Retinex ...
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SPIE 12th International Symposium on Multispectral image processing and Pattern Recognition, MIPPR 2023
作者: Li, Yiyao Chen, Zhong Sun, Wenyuan School of Journalism and Communication Central China Normal University Luoyu Road 152 Wuhan China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Luoyu Road 1037 Wuhan China National Key Laboratory of Science and Technology on Multi-spectral Information Processing Luoyu Road 1037 Wuhan China Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Luoyu Road 1037 Wuhan China Central China Normal University Library Luoyu Road 152 Wuhan China
Nowadays, image recognition plays a pivotal role in acquiring data via sensors. However, the adaptability of traditional algorithms is hindered by the unpredictable nature of open environments, varying sensor quality,... 详细信息
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Evolutionary attraction–repulsion algorithm embedded with LLM for UAV task allocation
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Advanced Engineering Informatics 2025年 66卷
作者: Wu, Bowen Xiao, Renbin School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Institute of Artificial Intelligence Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of Image Processing and Intelligent Control Ministry of Education Wuhan430074 China
Labor division provides an adaptive and scalable technique for unmanned systems. However, its designing process usually relies heavily on the manually crafted paradigms, leading to inefficiencies and insufficient perf... 详细信息
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Model-Based and Data-Driven Contingency Filtering for Real-Time Corrective Security-Constrained Economic Dispatch  5
Model-Based and Data-Driven Contingency Filtering for Real-T...
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5th IEEE Conference on Energy Internet and Energy System Integration, EI2 2021
作者: Han, Donghai Yu, Yaowen He, Dingxin Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China
Security-constrained economic dispatch (SCED) is one of the most important problems in power system operations. Corrective SCED (CSCED) is a type of SCED that considers corrective capabilities of the power system and ... 详细信息
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