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检索条件"机构=Intelligent Optimization and Information Processing Laboratory"
30 条 记 录,以下是1-10 订阅
排序:
AMA-Net: Adaptive Masking Attention Network for Agricultural Crop Classification From UAV Images
IEEE Transactions on AgriFood Electronics
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IEEE Transactions on AgriFood Electronics 2025年 第1期3卷 246-253页
作者: Wang, Xu Wang, Deyi He, Zhaoshui Lin, Zhijie Xie, Shengli Guangdong Mechanical and Electrical Polytechnic School of Electronics and Communication Guangzhou510550 China Guangdong University of Technology School of Automation Guangzhou510006 China Key Laboratory for IoT Intelligent Information Processing and System Integration of Ministry of Education Guangzhou510006 China Guangdong Provincial Key Laboratory of Intelligent Systems and Optimization Integration Guangzhou510006 China
Agriculture crop classification is helpful for agricultural production. However, it is challenging to classify crops from the agriculture image suffering from these problems: 1) Crops are often masked in complex backg... 详细信息
来源: 评论
Toward High-Accuracy and Low-Latency Group Vehicle Trajectory Prediction With Linear UNet-Enhanced Fully Connected Spatial–Temporal Graph Neural Network
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IEEE Internet of Things Journal 2025年 第9期12卷 11797-11811页
作者: Zhang, Zirui Huang, Xumin Yu, Rong Wu, Maoqiang Kang, Jiawen Xie, Shengli Guangdong University of Technology School of Automation Key Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of Education Guangdong Provincial Key Laboratory of Intelligent Systems and Optimization Integration Guangzhou510006 China South China Normal University School of Electronic Science and Engineering Foshan528225 China Guangdong University of Technology School of Automation 111 Center for Intelligent Batch Manufacturing Based on IoT Technology Guangdong-Hong Kong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou510006 China
Group vehicle trajectory prediction (GVTP) is important for analyzing the traffic states and optimizing the traffic management. However, existing studies have performance bottlenecks in the prediction accuracy and inf... 详细信息
来源: 评论
A New Dual-Population Evolutionary Algorithm Leveraging Objective-Constraint Relationships for Constrained Multi-Objective optimization
SSRN
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SSRN 2025年
作者: Ye, Jialu Tan, Chaogui Xia, Yizhang Hou, Zhanglu Liu, Yuan Zou, Juan Hunan Engineering Research Center of intelligent System Optimization and Security Key Laboratory of Intelligent Computing and Information Processing Ministry of Education Hunan National Applied Mathematics Center China Xiangtan University China
Population co-evolution strategies are widely used to handle constrained multi-objective optimization problems (CMOPs). However, existing coevolutionary algorithms oversimplify population collaboration and are rigid i... 详细信息
来源: 评论
Solo Adaptation for Distributed Synchronization With Application to Event-Triggered Linear Multi-Agent Systems
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IEEE Transactions on Automatic Control 2025年
作者: Chen, Ci Zheng, Zhiyang Lewis, Frank L. Xie, Kan Xie, Shengli Guangdong University of Technology Guangdong Provincial Key Laboratory of Intelligent Systems and Optimization Integration Key Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of Education School of Automation Guangzhou510006 China Guangdong University of Technology School of Automation Guangdong Guangzhou510006 China The University of Texas at Arlington UTA Research Institute Fort Worth76118 United States Guangdong University of Technology 111 Center for Intelligent Batch Manufacturing Based on IoT Technology School of Automation Guangzhou China Guangdong University of Technology Key Laboratory of Intelligent Detection and The Internet of Things in Manufacturing Ministry of Education School of Automation Guangzhou510006 China
We study a solo adaptation-based protocol design problem for distributed synchronization of event-triggered linear multi-agent systems (MAS) over general directed graphs. We show that a solo adaptive gain, a locally s... 详细信息
来源: 评论
Accuracy estimation of link-based similarity measures and its application
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Frontiers of Computer Science 2016年 第1期10卷 113-123页
作者: Yinglong ZHANG Cuiping LI Chengwang XIE Hong CHEN School of Software East China Jiaotong University Nanchang 330045 China Key Laboratory of Data Engineering and Knowledge Engineering of Ministry of Education and Department of Computer Science Renmin University of China Beijing 100872 China Intelligent Optimization and Information Processing Laboratory East China Jiaotong University Nanchang 330013 China
Link-based similarity measures play a significant role in many graph based applications. Consequently, mea- suring node similarity in a graph is a fundamental problem of graph data mining. Personalized PageRank (PPR... 详细信息
来源: 评论
An Enhanced Particle Swarm Algorithm Based on Fitness Landscape information  13
An Enhanced Particle Swarm Algorithm Based on Fitness Landsc...
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13th IEEE Congress on Evolutionary Computation, CEC 2024
作者: Diao, Zhenya Yu, Fei Guan, Jian Liu, Meitong School of Physics and Information Engineering Minnan Normal University Key Lab of Intelligent Optimization and Information Processing Zhangzhou36300 China School of Physics and Information Engineering Minnan Normal University Key Laboratory of Light Field Manipulation and System Integration Applications in Fujian Province Key Lab of Intelligent Optimization and Information Processing Zhangzhou36300 China
In the original Particle Swarm optimization (PSO), the selection of parameters significantly impacts the search capability of PSO. The paper introduces an innovative algorithm called Fitness Landscape-based PSO (FLPSO... 详细信息
来源: 评论
A GENERALIZED PENALTY METHOD FOR DIFFERENTIAL VARIATIONAL-HEMIVARIATIONAL INEQUALITIES
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Acta Mathematica Scientia 2022年 第1期42卷 247-264页
作者: Liang LU Lijie LI Mircea SOFONEA Guangxi Key Laboratory of Cross-border E-commerce Intelligent Information Processing Guangxi University of Finance and EconomicsNanning 530003China Guangxi Colleges and Universities Key Laboratory of Complex System Optimization and Big Data Processing Yulin Normal UniversityYulin 537000China Laboratoire de Mathématiques et Physique Universitéde Perpignan Via Domitia52 Avenue Paul Alduy66860 PerpignanFrance
We consider a differential variational-hemivariational inequality with constraints,in the framework of reflexive Banach *** existence of a unique mild solution of the inequality,together with its stability,was proved ... 详细信息
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Cooperative coevolution with dependency identification grouping for large scale global optimization
Cooperative coevolution with dependency identification group...
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2016 IEEE Congress on Evolutionary Computation, CEC 2016
作者: Dai, Guangming Chen, Xiaoyu Chen, Liang Wang, Maocai Peng, Lei School of Computer China University of Geosciences Wuhan China Hubei Key Laboratory of Intelligent Geo-Information Processing China University of Geosciences Wuhan China Group of Discrete and Combinatorial Optimization University of Heidelberg Heidelberg Germany
Large scale optimization is a very challenging task in optimization area. The variable interaction in non-separable problems is a primary source of performance loss, especially for large scale problems. Cooperative Co... 详细信息
来源: 评论
Hierarchical Graph Convolutional Networks With Latent Structure Learning for Mechanical Fault Diagnosis
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IEEE/ASME Transactions on Mechatronics 2023年 第6期28卷 3076-3086页
作者: Zhong, Kai Han, Bing Han, Min Chen, Hongtian Anhui University Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education Institutes of Physical Science and Information Technology Hefei230601 China Shanghai Ship and Shipping Research Institute State Key Laboratory of Navigation and Safety Technology Shanghai200135 China Dalian University of Technology Key Lab. of Intelligent Contr. and Optimization for Indust. Equipment of the Ministry of Education Dalian116024 China University of Alberta Department of Chemical and Materials Engineering EdmontonABT6G 2V4 Canada
Industrial sensor signals are essentially non-Euclidean graph structures due to the interplay between process variables;thus, graph convolutional networks (GCNs) have been widely studied and applied. However, most of ... 详细信息
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Analysis of the Research Status of information Technology Education Literature in China and Abroad  24
Analysis of the Research Status of Information Technology Ed...
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24th IEEE International Conference on High Performance Computing and Communications, 8th IEEE International Conference on Data Science and Systems, 20th IEEE International Conference on Smart City and 8th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022
作者: Zhao, Yulin Liu, Kai Li, Junke School of Information Engineering Suqian University Jiangsu Suqian223800 China School of Computer and Information Qiannan Normal University for Nationalities Duyun558000 China Jiangsu Province Engineering Research Center of Smart Poultry Farming and Intelligent Equipment Jiangsu 223800 China Key Laboratory of Machine Learning and Unstructured Data Processing of Qiannan Duyun558000 China Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Duyun558000 China
information technology education contributes to the development of national education. Understanding the research status of information technology education at home and abroad is helpful to the implementation of educa... 详细信息
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