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检索条件"机构=Key Laboratory of Intelligent Information Processing and Control"
12806 条 记 录,以下是381-390 订阅
排序:
Unsupervised Multivariate Time Series Anomaly Detection by Feature Decoupling in Federated Learning Scenarios
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2025年
作者: He, Yifan Ding, Xi Tang, Yateng Guan, Jihong Zhou, Shuigeng Fudan University School of Computer Science Shanghai200433 China Shanghai Key Laboratory of Intelligent Information Processing Shanghai200433 China Tencent Weixin Group Guangzhou510308 China Tongji University Department of Computer Science and Technology Shanghai201804 China Ministry of Education Key Laboratory of Embedded System and Service Computing Tongji University Shanghai200092 China
Anomalies are usually regarded as data errors or novel patterns previously unseen, which are quite different from most observed data. Accurate detection of anomalies is crucial in various application scenarios. This p... 详细信息
来源: 评论
CPAL: Cross-prompting Adapter with LoRAs for RGB+X Semantic Segmentation
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IEEE Transactions on Circuits and Systems for Video Technology 2025年
作者: Liu, Ye Wu, Pengfei Wang, Miaohui Liu, Jun Nanjing University of Posts and Telecommunications School of Automation and Artificial Intelligence Nanjing China Shenzhen University Guangdong Key Laboratory of Intelligent Information Processing Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China Lancaster University School of Computing and Communications Lancaster United Kingdom
As sensor technology evolves, RGB+X systems combine traditional RGB cameras with another type of auxiliary sensor, which enhances perception capabilities and provides richer information for important tasks such as sem... 详细信息
来源: 评论
Spiking Neural Network for Intra-cortical Brain Signal Decoding
arXiv
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arXiv 2025年
作者: Yang, Song Fu, Haotian Zhang, Herui Zhang, Peng Li, Wei 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 Hubei Key Laboratory of Brain-inspired Intelligent Systems Huazhong University of Science and Technology Wuhan430074 China Department of Biomedical Engineering College of Life Science and Technology Huazhong University of Science and Technology Wuhan430074 China
Decoding brain signals accurately and efficiently is crucial for intra-cortical brain-computer interfaces. Traditional decoding approaches based on neural activity vector features suffer from low accuracy, whereas dee... 详细信息
来源: 评论
Operation Improvement of Garbage Power Plants - via control Technology  16th
Operation Improvement of Garbage Power Plants - via Contro...
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16th International Conference on Modelling, Identification and control, ICMIC 2024
作者: Cao, Guizhou Xia, Dawei Meng, Kai Zhu, Zheran Yuan, Jie Wu, Zhenlong State Grid Henan Electric Power Company Electric Power Research Institute Zhengzhou450052 China State Grid Shangqiu Electric Power Company Shangqiu476002 China State Grid Henan Electric Power Company Zhengzhou450018 China Key Laboratory of Measurement and Control of CSE Ministry of Education School of Automation Southeast University Nanjing210096 China School of Electrical and Information Engineering Zhengzhou University Zhengzhou450001 China State Key Laboratory of Intelligent Agricultural Power Equipment Zhengzhou University Luoyang471000 China
This paper focuses on the operation improvement of garbage power plants, which are a key disposal technology for household waste, construction waste, etc. However, the low of the furnace temperature can cause a sharp ... 详细信息
来源: 评论
Reduced-Order Consensus Protocols with Pure Relative Output: Design, Existence, and Dual Results
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IEEE Transactions on Automatic control 2025年
作者: Ma, Yuwen Li, Xianwei Li, Shaoyuan Lin, Zongli Shanghai Jiao Tong University Department of Automation Shanghai200240 China State Key Laboratory of Submarine Geoscience China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China University of Virginia Charles L. Brown Department of Electrical and Computer Engineering CharlottesvilleVA22904 United States
This paper studies reduced-order dynamic consensus protocols for homogeneous linear multi-agent systems using pure relative output information. By applying H∞ control theory, a separation principle-like method with a... 详细信息
来源: 评论
S2KAN-SLAM: Elastic Neural LiDAR SLAM with SDF Submaps and Kolmogorov-Arnold Networks
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IEEE Transactions on Circuits and Systems for Video Technology 2025年
作者: Wang, Zhong Zhang, Lin Wang, Hesheng Shanghai Jiao Tong University State Key Laboratory of Avionics Integration and Aviation System-of-Systems Synthesis Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai200240 China Tongji University School of Computer Science and Technology National Pilot Software Engineering School with Chinese Characteristics Shanghai201804 China
Traditional LiDAR SLAM approaches prioritize localization over mapping, yet high-precision dense maps are essential for numerous applications involving intelligent agents. Recent advancements have introduced methods l... 详细信息
来源: 评论
A Holistically Point-guided Text Framework for Weakly-Supervised Camouflaged Object Detection
arXiv
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arXiv 2025年
作者: Mok, Tsui Qin Gao, Shuyong Xing, Haozhe He, Miaoyang Wang, Yan Zhang, Wenqiang Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai200433 China Academy for Engineering & Technology The Yiwu Research Institute of Fudan University Chengbei Road Zhejiang Yiwu City322000 China
Weakly-Supervised Camouflaged Object Detection (WSCOD) has gained popularity for its promise to train models with weak labels to segment objects that visually blend into their surroundings. Recently, some methods usin... 详细信息
来源: 评论
Uncertainty-Guided Diffusion Model for Camouflaged Object Detection
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IEEE Transactions on Multimedia 2025年
作者: Yang, Jinsheng Zhong, Bineng Liang, Qihua Mo, Zhiyi Zhang, Shengping Song, Shuxiang Guangxi Normal University Key Lab of Education Blockchain and Intelligent Technology Ministry of Education Guilin541004 China Guangxi Normal University Guangxi Key Lab of Multi-Source Information Mining & Security China Wuzhou University Guangxi Key Laboratory of Machine Vision and Intelligent Control Wuzhou543002 China Harbin Institute of Technology School of Computer Science and Technology Weihai264209 China
Recently, diffusion models have significantly improved the performance of Camouflaged Object Detection (COD) by adding noise to a mask and iteratively denoising it to match the target distributions. Due to the direct ... 详细信息
来源: 评论
A Hierarchical Deep Reinforcement Learning Strategy for Collective Pursuit-Evasion Game with Partial Observations
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2025年
作者: Wang, Xiaoxiao Yi, Peng Hong, Yiguang Tongji University Shanghai Research Institute for Intelligent Autonomous Systems Shanghai200092 China Tongji University School of Electronics and Information Shanghai200070 China Tongji University Control Science and Engineering Department Shanghai200070 China National Key Laboratory of Autonomous Intelligent Unmanned Systems China Ministry of Education Frontiers Science Center for Intelligent Autonomous Systems China
This paper addresses the problem of Collective Pursuit-Evasion Game (C-PEG) with partial observation, aiming to enhance cooperation among cluster pursuers, reduce the game space, and optimize the overall pursuer strat... 详细信息
来源: 评论
Driving Behavior Decision-Making for Unmanned Monorail Cranes Based on Multi-Source Layering Perception information
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IEEE Transactions on Transportation Electrification 2025年
作者: Zhang, Xin Zhang, Yidong Yang, Chunyu Yan, Wanzi Ma, Lei Yu, Qiu China University of Mining and Technology School of Information and Control Engineering Xuzhou221116 China China University of Mining and Technology State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources Artificial Intelligence Research Institute Xuzhou221116 China
Monorail cranes (MCs) are the emerging transportation in the downhole and often work in dangerous deep confined spaces. To improve the safety production efficiency, a driving behavior decision-making method is propose... 详细信息
来源: 评论