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检索条件"机构=Key Lab Image Processing & Intelligent Control"
3832 条 记 录,以下是81-90 订阅
排序:
HTRNN: A New Protein Nuclear Localization Prediction Tool  7
HTRNN: A New Protein Nuclear Localization Prediction Tool
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7th IEEE Advanced Information Technology, Electronic and Automation control Conference, IAEAC 2024
作者: Miao, Xinyu Li, Wei Huazhong University of Science and Technology School of Artificial Intelligence and Automation 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... 详细信息
来源: 评论
Fusion-CAM: Fine-Grained and High-Faithfulness Explanations for Deep Convolutional Network via Hierarchical Fusion  7
Fusion-CAM: Fine-Grained and High-Faithfulness Explanations ...
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7th IEEE Advanced Information Technology, Electronic and Automation control Conference, IAEAC 2024
作者: Zheng, Chen Li, Wei Huazhong University of Science and Technology School of Artificial Intelligence and Automation 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... 详细信息
来源: 评论
FIFAWC:a dataset with detailed annotation and rich semantics for group activity recognition
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Frontiers of Computer Science 2024年 第6期18卷 271-272页
作者: Duoxuan PEI Di HUANG Yunhong WANG State Key Laboratory of Software Development Environment School of Computer Science and EngineeringBeihang UniversityBeijing 100191China Intelligent Recognition and Image Processing Lab. School of Computer Science and EngineeringBeihang UniversityBeijing 100191China
1 *** Activity Recognition(GAR),which aims to identify activities performed collectively in videos,has gained significant attention *** conventional action recognition centered on single individuals,GAR explores the c... 详细信息
来源: 评论
A Dual-branch Model for Early Detection of Alzheimer's Disease Using Resting-State fMRI  7
A Dual-branch Model for Early Detection of Alzheimer's Disea...
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7th IEEE Advanced Information Technology, Electronic and Automation control Conference, IAEAC 2024
作者: Wang, Yixuan Li, Wei Huazhong University of Science and Technology School of Artificial Intelligence and Automation 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 im... 详细信息
来源: 评论
Short-Term Residential Load Forecasting With Baseline-Refinement Profiles and Bi-Attention Mechanism
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IEEE TRANSACTIONS ON SMART GRID 2024年 第1期15卷 1052-1062页
作者: Xiao, Jiang-Wen Liu, Peng Fang, Hongliang Liu, Xiao-Kang Wang, Yan-Wu Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Minist Educ Wuhan Peoples R China
With the development of smart grid and renewable energy technologies, residential load forecasting has become an increasingly important task. Short-term residential load forecasting is not only conducive to power disp... 详细信息
来源: 评论
image Sample Generation of Stator Surface Defects Based on Layer Mask Blending Generative Adversarial Network  23
Image Sample Generation of Stator Surface Defects Based on L...
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9th International Conference on Computing and Artificial Intelligence, ICCAI 2023
作者: Li, Wenzheng Tian, Lihua Sun, Zhigang Xiao, Li School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan430074 China
In industrial production processes, defect inspection plays an important role in reducing the occurrence of failures and improving production efficiency. Data-driven algorithms represented by deep learning have made g... 详细信息
来源: 评论
Finite-Time Output Synchronization of Multiple Weighted Reaction-Diffusion Neural Networks With Adaptive Output Couplings
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2024年 第1期35卷 169-181页
作者: Qiu, Qian Su, Housheng Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Educ Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China
This article mainly considers the output synchronization (OS) problem of multiple weighted and adaptive output coupled reaction-diffusion neural networks (RDNNs) without and with coupling delays in finite time. Withou... 详细信息
来源: 评论
Passive Lower Limb Exoskeleton for Kneeling and Postural Transition Assistance With Expanded Support Polygon
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IEEE-ASME TRANSACTIONS ON MECHATRONICS 2024年 第2期29卷 1193-1204页
作者: Sugiura, Sojiro Zhu, Yaonan Huang, Jian Hasegawa, Yasuhisa Nagoya Univ Dept Micronano Mech Sci & Engn Nagoya 4648601 Japan Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China
Robotic exoskeletons, which assist in stand-to-kneel and kneel-to-stand (STK-KTS) movements and static kneeling postures are in great demand in the nursing field. This movement involves continuous adjustment of the ce... 详细信息
来源: 评论
Adaptive Position Constrained Assist-as-Needed control for Rehabilitation Robots
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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2024年 第4期71卷 4059-4068页
作者: Cao, Yu Chen, Xinkai Zhang, Mengshi Huang, Jian Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China Shibaura Inst Technol Dept Elect Informat Syst Saitama 3378570 Japan
In rehabilitation practice, motivating patients with neurological injuries to actively increase muscle activity and ensure their safety are important. Therefore, this study proposed a position-constrained assist-as-ne... 详细信息
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Hierarchical Task-Incremental Learning with Feature-Space Initialization Inspired by Neural Collapse
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NEURAL processing LETTERS 2023年 第8期55卷 10811-10827页
作者: Zhou, Qinhao Xiang, Xiang Ma, Jing Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat MoE Key Lab Image Proc & Intelligent Control 1037 Luoyu Rd Wuhan 430074 Hubei Peoples R China
Incremental learning models need to update the categories and their conceptual understanding over time. The current research has placed more emphasis on learning new categories, while another common but under-explored... 详细信息
来源: 评论