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检索条件"机构=Laboratory of Information and Computer Systems in Automation"
389 条 记 录,以下是1-10 订阅
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DCFNet:Discriminant Correlation Filters Network for Visual Tracking
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Journal of computer Science & Technology 2024年 第3期39卷 691-714页
作者: 胡卫明 王强 高晋 李兵 Stephen Maybank State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of Sciences Beijing 100190China Department of Computer Science and Information Systems Birkbeck CollegeLondon WC1E 7HXU.K.
CNN(convolutional neural network)based real time trackers usually do not carry out online network update in order to maintain rapid tracking *** inevitably influences the adaptability to changes in object *** filter b... 详细信息
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Automating CPPSs Analyses with SysML v2 and Lingua Franca in the Context of Industry 4.0  50
Automating CPPSs Analyses with SysML v2 and Lingua Franca in...
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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024
作者: Gaiardelli, Sebastiano Wilch, Jan Fummi, Franco Vogel-Heuser, Birgit Industrial Computer Engineering Laboratory Department of Engineering for Innovation Medicine University of Verona Italy Institute of Automation and Information Systems Technical University of Munich Germany
The design of manufacturing systems requires exploring diverse component configurations for one that best satisfies the requirements of the target system. At the same time, manufacturing systems evolve continuously, i... 详细信息
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Computational Experiments for Complex Social systems:Experiment Design and Generative Explanation
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IEEE/CAA Journal of Automatica Sinica 2024年 第4期11卷 1022-1038页
作者: Xiao Xue Deyu Zhou Xiangning Yu Gang Wang Juanjuan Li Xia Xie Lizhen Cui Fei-Yue Wang the School of Computer Software College of Intelligence and ComputingTianjin UniversityTianjin 300350China the School of Software and the Joint SDUNTU Centre for Artificial Intelligence Research(C-FAIR) Shandong UniversityJinan 250101China the Information School Xi’an University of Financial and EconomicsXi’an 710100China the State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Hainan University Haikou 570228China the State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 1001901China
Powered by advanced information technology,more and more complex systems are exhibiting characteristics of the cyber-physical-social systems(CPSS).In this context,computational experiments method has emerged as a nove... 详细信息
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DeepGCN based on variable multi‐graph and multimodal data for ASD diagnosis
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CAAI Transactions on Intelligence Technology 2024年 第4期9卷 879-893页
作者: Shuaiqi Liu Siqi Wang Chaolei Sun Bing Li Shuihua Wang Fei Li College of Electronic and Information Engineering Hebei UniversityBaodingChina Machine Vision Technology Innovation Center of Hebei Province BaodingChina The State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijingChina School of Computer Science and Technology Henan Polytechnic UniversityJiaozuoChina
Diagnosing individuals with autism spectrum disorder(ASD)accurately faces great chal-lenges in clinical practice,primarily due to the data's high heterogeneity and limited sample *** tackle this issue,the authors ... 详细信息
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Sustainable Mining in the Era of Artificial Intelligence
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IEEE/CAA Journal of Automatica Sinica 2024年 第1期11卷 1-4页
作者: Long Chen Yuting Xie Yutong Wang Shirong Ge Fei-Yue Wang IEEE the State Key Laboratory for Management and Control of Complex Systems at the Institute of Automation Chinese Academy of SciencesBeijing 100190China the National Laboratory of Pattern Recognition at the Institute of Automation and Waytous Ltd.China the School of Computer Science and Engineering Sun Yat-Sen UniversityGuangzhou 510275GuangdongChina the School of Mechanical Electronic and Information Engineering China University of Mining and Technology BeijingBejing 100083China the School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100190China
The mining sector historically drove the global economy but at the expense of severe environmental and health repercussions,posing sustainability challenges[1]-[3].Recent advancements on artificial intelligence(AI)are... 详细信息
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Extinction Chains Reveal Intermediate Phases Between the Safety and Collapse in Mutualistic Ecosystems
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Engineering 2024年 第12期43卷 89-98页
作者: Guangwei Wang Xueming Liu Ying Xiao Ye Yuan Linqiang Pan Xiaohong Guan Jianxi Gao Hai-Tao Zhang The MOE Engineering Research Center of Autonomous Intelligent Unmanned Systems State Key Laboratory of Digital Manufacturing Equipment and TechnologySchool of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan 430074China Guangdong HUST Industrial Technology Research Institute Huazhong University of Science and TechnologyDongguan 523808China Guangdong Provincial Engineering Technology Center of Autonomous Unmanned Vessels Dongguan 523808China MOE Key Laboratory of Intelligent Networks and Network Security&State Key Laboratory of Manufacturing Systems Xi’an Jiaotong UniversityXi’an 710049China Tsinghua National Laboratory of Information Science and Technology Department of AutomationTsinghua UniversityBeijing 100084China Department of Computer Science Rensselaer Polytechnic InstituteTroyNY 12180USA
Ecosystems are undergoing unprecedented persistent deterioration due to unsustainable anthropogenic human activities,such as overfishing and deforestation,and the effects of such damage on ecological stability are ***... 详细信息
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Dynamic Sparse Graph Learning Jointly With Projective Graph Embedding for Image Feature Extraction
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IEEE Sensors Journal 2025年 第9期25卷 16455-16467页
作者: Hu, Liangchen Dai, Zhenlei Chen, Zhenghua Zhang, Wensheng Hu, Peng Du, Tongchun Luo, Yonglong Anhui Normal University School of Computer and Information Wuhu241002 China Anhui Provincial Key Laboratory of Industrial Intelligence Data Security Wuhu241002 China Fusionopolis 138632 Singapore Institute of Automation Chinese Academy of Sciences State Key Laboratory of Multimodel Artificial Intelligence Systems Beijing100190 China University of Chinese Academy of Sciences School of Artificial Intelligence Beijing100049 China
In the context of advancing industrial automation, sensor-generated image data often exhibit high dimensionality and complexity, presenting challenges for effective feature extraction. Especially when sensors are depl... 详细信息
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DocHFormer: Document Image Dewarping via Harmonized Modeling of Hierarchical Priors  27th
DocHFormer: Document Image Dewarping via Harmonized Modelin...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Zhou, Xinyue Li, Guanting Jiang, Nanfeng Wang, Da-Han Zhang, Xu-Yao Zhu, ShunZhi School of Computer and Information Engineering Xiamen University of Technology Xiamen361024 China Fujian Key Laboratory of Pattern Recognition and Image Understanding Xiamen361024 China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation of Chinese Academy of Sciences Beijing China
Document Image Dewarping (DID) task aims to address the issue of geometry distortion and improve image quality. In this paper, we propose a simple but effective method, named DocHFormer, that can take hierar... 详细信息
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Document Image Shadow Removal via Frequency information-Oriented Network  27th
Document Image Shadow Removal via Frequency Information-Ori...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Yang, Fan Zhou, Xinyue Jiang, Nanfeng Wang, Da-Han Zhang, Xu-Yao Li, Guantin Man, Wang Wu, Yun School of Computer and Information Engineering Xiamen University of Technology Xiamen361024 China Fujian Key Laboratory of Pattern Recognition and Image Understanding Xiamen361024 China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation of Chinese Academy of Sciences Beijing China
Removing shadows from document images can significantly improve the Quality of Experience (QoE) and boost the performance of the downstream document analysis and recognition tasks. However, existing methods still... 详细信息
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Learning Explicit Radical Representations for Zero-Shot Chinese Character Recognition  27th
Learning Explicit Radical Representations for Zero-Shot Chin...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Pan, Song-Liang Wang, Da-Han Jiang, Nanfeng Zhang, Xu-Yao Zhu, Shunzhi School of Computer and Information Engineering Xiamen University of Technology Xiamen361024 China Fujian Key Laboratory of Pattern Recognition and Image Understanding Xiamen361024 China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation of Chinese Academy of Sciences Beijing100190 China
Zero-shot Chinese character recognition (ZSCCR) aims to recognize unseen Chinese characters by learning the semantic knowledge of seen characters. Radical-based methods treat Chinese characters as combinations of... 详细信息
来源: 评论