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检索条件"机构=Beijing Key Laboratory of Computing Intelligence and Intelligent System"
1097 条 记 录,以下是11-20 订阅
排序:
Multiscale Temporal-Convolution and Attention Improved Neural Network for Biased Mental State Recognition  17th
Multiscale Temporal-Convolution and Attention Improved Neur...
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17th International Conference on Brain Informatics, BI 2024
作者: Zuo, Guoyu Xiao, Erjun Zhang, Tielin Beijing Key Laboratory of Computing Intelligence and Intelligent Systems Beijing University of Technology Beijing100124 China Center for Excellence in Brain Science and Intelligence Technology University of Chinese Academy of Sciences Shanghai200031 China
Accurate detection of mental state is vital for sleep assessment and anesthesia monitoring. However, challenges exist, including 1) limited data sources caused by few modalities, few channels, biased sample ... 详细信息
来源: 评论
An online self-organizing radial basis function neural network based on Gaussian Membership
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Applied intelligence 2025年 第6期55卷 1-17页
作者: Jia, Lijie Li, Wenjing Qiao, Junfei Zhang, Xinliang School of Electrical Engineering and Automation Henan International Joint Laboratory of Direct Drive and Control of Intelligent Equipment Henan Polytechnic University Jiaozuo454003 China Faculty of Information Technology Beijing University of Technology No. 100 Pingleyuan Chaoyang District Beijing100124 China Beijing Key Laboratory of Computational Intelligence and Intelligent System No. 100 Pingleyuan Chaoyang District Beijing100124 China
Radial basis function neural network (RBFNN) is one of the most popular neural networks, and an appropriate selection of its structure and learning algorithms is crucial for its performance. Aiming to alleviate the se... 详细信息
来源: 评论
Multimodal Physiological Signal Analysis Using Attention-Based Feature and Model Fusion  17th
Multimodal Physiological Signal Analysis Using Attention-Bas...
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17th International Conference on Brain Informatics, BI 2024
作者: Liu, Wei Jia, Kebin Sun, Zhonghua Feng, Jinchao Zhao, Xiaohu Faculty of Information Technology Beijing University of Technology Beijing100124 China Beijing Laboratory of Advanced Information Networks Beijing100124 China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing University of Technology Beijing100124 China
Disease analysis using multimodal physiological signals is currently a hot research area. Aiming at the problem that current multimodal feature fusion approaches neglect the correlation between different modalities, t... 详细信息
来源: 评论
Multi-Scale Time Series Segmentation Network Based on Eddy Current Testing for Detecting Surface Metal Defects
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IEEE/CAA Journal of Automatica Sinica 2025年 第3期12卷 528-538页
作者: Xiaorui Li Xiaojuan Ban Haoran Qiao Zhaolin Yuan Hong-Ning Dai Chao Yao Yu Guo Mohammad S.Obaidat George Q.Huang the School of Intelligence Science and Technology University of Science and Technology Beijing the Beijing Advanced Innovation Center for Materials Genome Engineering the Key Laboratory of Intelligent Bionic Unmanned Systems and the Institute of Materials Intelligent Technology Liaoning Academy of Materials IEEE the Department of Computer Science Hong Kong Baptist University the School of Computer and Communication Engineering Key Laboratory of Advanced Materials and Devices for Post-Moore Chips Ministry of Education University of Science and Technology Beijing the Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology Beijing the School of Computer and Communication Engineering University of Science and Technology Beijing the King Abdullah Ⅱ School of Information Technology The University of Jordan the Department of Computational Intelligence the School of Computing SRM University the School of Engineering The Amity University The Hong Kong Polytechnic University
In high-risk industrial environments like nuclear power plants, precise defect identification and localization are essential for maintaining production stability and safety. However, the complexity of such a harsh env... 详细信息
来源: 评论
RL-LVIS: a robust, lightweight LiDAR–visual–inertial state estimator and mapping for mobile robots
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Advanced Robotics 2025年 第8期39卷 424-440页
作者: Li, Xiuzhi Du, Bowen School of Information Science and Technology Beijing University of Technology Beijing China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing China
In recent years, the application of autonomous outdoor robots has faced challenges in improving the computational efficiency and robustness of underlying algorithms due to the limitations of size and weight, making it... 详细信息
来源: 评论
Assessment for pigmentation and vascularity of hypertrophic scar based on residual network  17
Assessment for pigmentation and vascularity of hypertrophic ...
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17th International Conference on Photonics and Imaging in Biology and Medicine, PIBM 2024
作者: Fu, Ruixin Li, Zhe Tian, Peng Wang, Chong Tu, Feng Lu, Ming Bai, Jiangtao Feng, Jinchao Jia, Kebin Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing University of Technology Beijing100124 China Beijing Laboratory of Advanced Information Networks Beijing100124 China Burn and plastic surgery Beijing Jishuitan Hospital Capital Medical University Beijing100035 China Department of Medical Engineering Beijing Jishuitan Hospital Capital Medical University Beijing100096 China
Hypertrophic scars are a type of pathological scar that can cause discomfort, pain, and itching. The assessment of hypertrophic scars depends largely on the clinician's long-term experience. Computer-aided assessm... 详细信息
来源: 评论
Accurate and Real-time Hierarchical Ensemble Network for Activity Classification in Construction Worker
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IEEE Journal of Biomedical and Health Informatics 2025年 PP卷 PP页
作者: Zuo, Guoyu Wu, Qifei Gao, Wenbin Li, Cheng Sun, Liangkun Yu, Shuangyue Beijing University of Technology School of Information Science and Technology Beijing100124 China Beijing Key Laboratory of Computing Intelligence and Intelligent Systems Beijing100124 China
Accurate and real-time locomotion classification is crucial for exoskeletons to assist construction workers in completing multiple tasks. However, state-of-the-art algorithms for classifying multiple activities face m... 详细信息
来源: 评论
Binary-Encoding-Based Quantized Kalman Filter: An Approximate MMSE Approach
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IEEE Transactions on Automatic Control 2025年 第5期70卷 3181-3196页
作者: Liu, Qinyuan Nie, Yao Wang, Zidong Dong, Hongli Jiang, Changjun Tongji University School of Computer Science and Technology Shanghai201804 China Tongji University Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai201804 China Tongji University Shanghai Artificial Intelligence Laboratory Shanghai201804 China Brunel University London Department of Computer Science UxbridgeUB8 3PH United Kingdom Northeast Petroleum University Artificial Intelligence Energy Research Institute Daqing163318 China Northeast Petroleum University Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Daqing163318 China
In this article, the Kalman filter design problem is investigated for linear discrete-time systems under binary encoding schemes. Under such a scheme, the local information is quantized into a bit string by the remote... 详细信息
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Adaptive Fuzzy Cooperative Control Based on a Predefined Time Disturbance Observer for MASs
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IEEE Transactions on systems, Man, and Cybernetics: systems 2025年
作者: Han, Hong-Gui Hou, Han-Qian Sun, Hao-Yuan Qiao, Jun-Fei The School of Information Science and Technology the Beijing Key Laboratory of Computational Intelligence and Intelligent System The Engineering Research Center of Digital Community Ministry of Education The Beijing Artificial Intelligence Institute The Beijing Laboratory for Intelligent Environmental Protection Beijing University of Technology Beijing100124 China
External disturbances can render constrained multiagent systems (MASs) unstable and affect their convergence speed. To address this issue, the cooperative control strategy for MASs based on a predefined time (PT) dist... 详细信息
来源: 评论
DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach
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IEEE Internet of Things Journal 2025年 第10期12卷 13340-13352页
作者: Tang, Xin Chen, Qian Weng, Wenjie Liao, Binhan Wang, Jiacheng Cao, Xianbin Li, Xiaohuan Guilin University of Electronic Technology Guangxi University Key Laboratory of Intelligent Networking and Scenario System School of Information and Communication Guilin541004 China Nanyang Technological University College of Computing and Data Science 639798 Singapore Guilin University of Electronic Technology School of Architecture and Transportation Engineering Guilin541004 China Nanning530001 China Beihang University School of Electronic and Information Engineering Key Laboratory of Advanced Technology of Near Space Information System Ministry of Industry and Information Technology of China Beijing100191 China
Unmanned Aerial Vehicles (UAVs) offer high mobility and flexible deployment capabilities, making them ideal for Internet of Things (IoT) applications. However, the substantial amount of data generated by various appli... 详细信息
来源: 评论