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检索条件"机构=Information-Processing and Control Systems Laboratory and Department of Electrical Engineering"
804 条 记 录,以下是61-70 订阅
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Detecting Defects of Wooden Boards by Improved YOLOv4-tiny Algorithm  17th
Detecting Defects of Wooden Boards by Improved YOLOv4-tiny A...
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17th Chinese Intelligent systems Conference, CISC 2021
作者: Qiu, Yang Ai, Zhijie Lin, Ye Xu, Zhezhuang Liu, Xinxiang College of Electrical Engineering and Automation Fuzhou University Fuzhou350000 China Key Laboratory of Industrial Automation Control Technology and Information Processing Education Department of Fujian Province Fuzhou350000 China
Wooden boards are widely used as raw materials for furniture. Detecting defects on the wooden is significant to improve the quality of products. In this paper, we propose an improved YOLOv4-tiny target detection algor... 详细信息
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Semi-supervised Learning with GAN for Semantic Segmentation of Wood Defect Image
Semi-supervised Learning with GAN for Semantic Segmentation ...
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Chinese Automation Congress (CAC)
作者: Kunxin Zheng Song Zheng Zhezhuang Xu Ye Lin Yuhang Zhu Education Department of Fujian Province College of Electrical Engineering and Automation Fuzhou University and Key Laboratory of Industrial Automation Control Technology and Information Processing Fuzhou China
Automatic defect detection on wood surface is essential for ensuring product quality. Semantic segmentation methods have shown outstanding performance in wood defect detection. However, it is costly to acquire correct... 详细信息
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Proximity Estimation with Position Adjustment for Autonomous Industrial Inspection
Proximity Estimation with Position Adjustment for Autonomous...
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Artificial Intelligence of Things and systems (AIoTSys), International Conference on
作者: Ziyi Zhou Ping Huang Song Zheng Zhezhuang Xu Zixiong Zhuang Education Department of Fujian Province College of Electrical Engineering and Automation Fuzhou University and Key Laboratory of Industrial Automation Control Technology and Information Processing Fuzhou China
Due to the similarity in appearance and dense deployment of devices in industrial environments, relying solely on machine vision makes it challenging for inspection robots to accurately identify similar devices. Altho... 详细信息
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Wood Surface Discoloration Defect Detection Based on Improved HRNet
Wood Surface Discoloration Defect Detection Based on Improve...
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Chinese Automation Congress (CAC)
作者: Haoran Zhang Zhezhuang Xu Yuhang Zhu Ye Lin Education Department of Fujian Province Key Laboratory of Industrial Automation Control Technology and Information Processing College of Electrical Engineering and Automation Fuzhou University Fuzhou China
Discoloration defect detection is a significant task in the wood industry for ensuring the appearance and quality of wooden products. However, discoloration defect detection still faces some challenges due to the low ... 详细信息
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Analyzing the Correlation between Student Learning Behaviors and Academic Performance in Blended Learning Environments
Analyzing the Correlation between Student Learning Behaviors...
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Chinese Automation Congress (CAC)
作者: Ying Zhang Kang Chen Zhezhuang Xu Ye Lin Qingbo Zeng Department of Fujian Province Key Laboratory of Industrial Automation Control Technology and Information Processing Education College of Electrical Engineering and Automation Fuzhou University Fuzhou China
Blended learning integrates online and face-to-face (FTF) teaching methods to offer students in higher education a flexible and customized educational experience. Despite its significant advantages in promoting academ... 详细信息
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CMAC-Based Sliding-Mode control for Large-Scale Fuzzy Descriptor systems
CMAC-Based Sliding-Mode Control for Large-Scale Fuzzy Descri...
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2022 IEEE International Conference on Robotics and Biomimetics, ROBIO 2022
作者: Zhong, Zhixiong Shao, Zhenghua Huan, Zhijie Wang, Xingyi Minjiang University Key Laboratory of Information Processing and Intelligent Control Fuzhou350121 China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin150080 China School of Electrical Engineering and Automation Xiamen University of Technology Xiamen361024 China
This paper addresses the problem of sliding-mode control for large-scale fuzzy descriptor systems subject to unknown uncertainties. First, a CMAC neural network is used to approximate the unknown uncertainties, and th... 详细信息
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Dielectric Resonator Antenna Array With Extended Beam-Scanning Range Using Dielectric Superstrate
Dielectric Resonator Antenna Array With Extended Beam-Scanni...
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2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023
作者: Su, Zhi-Li Xiao, Fei Li, MingChao Lu, Kai Leung, Kwok Wa City University of Hong Kong State Key Laboratory of Terahertz and Millimeter Waves Department of Electrical Engineering Hong Kong CityU Shenzhen Research Institute Information and Communication Technology Centre Shenzhen China Limited Guangzhou China Sun Yat-sen University School of Electronics and Information Technology Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems Guangzhou China
An E-plane cylindrical dielectric resonator antenna (DRA) array with a dielectric superstrate is investigated for wide-angle scanning applications. Each slot-coupled DRA element operates at its fundamental HEM11δ mod... 详细信息
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Data-driven modeling of heat pumps and thermal storage units for MPC
Data-driven modeling of heat pumps and thermal storage units...
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2023 International Conference on the Built Environment in Transition, CISBAT 2023
作者: Brandes, M. Cai, H. Vivian, J. Croci, L. Heer, P. Smith, R. Urban Energy Systems Laboratory Empa Dübendorf Switzerland Dept. of Industrial Engineering University of Padova Padua Italy Dept. of Power System Development Ricerca Sistema Energetico SpA Milan Italy Automatic Control Laboratory Department of Electrical Engineering and Information Technology ETH Zurich Switzerland
Heat pumps can play a crucial role in the European energy strategy 2050, which aims to achieve net-zero greenhouse gas emissions. When coupled with thermal energy storage and integrated with advanced control strategie... 详细信息
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An Efficient Medical Image Deep Fusion Model Based on Convolutional Neural Networks
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Computers, Materials & Continua 2023年 第2期74卷 2905-2925页
作者: Walid El-Shafai Noha A.El-Hag Ahmed Sedik Ghada Elbanby Fathi E.Abd El-Samie Naglaa F.Soliman Hussah Nasser AlEisa Mohammed E.Abdel Samea Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Laboratory Department of Computer SciencePrince Sultan UniversityRiyadh11586Saudi Arabia Higher Institute of Commercial Science Management Information SystemsEl-Mahala El-KobraEgypt Department of the Robotics and Intelligent Machines Faculty of Artificial IntelligenceKafrelsheikh UniversityKafr El-SheikhEgypt Department of Industrial Electronics and Control Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia Medical Imaging and Interventional Radiology National Liver InstituteMenoufia UniversityEgypt
Medical image fusion is considered the best method for obtaining one image with rich details for efficient medical diagnosis and *** learning provides a high performance for several medical image analysis *** paper pr... 详细信息
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Symbiotic control of Uncertain Dynamical systems: Harnessing Synergy Between Fixed-Gain control and Adaptive Learning Architectures
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IEEE Transactions on Automatic control 2025年
作者: Yucelen, Tansel Sarsilmaz, Selahattin Burak Yildirim, Emre University of South Florida Department of Mechanical Engineering Laboratory for Autonomy Control Information and Systems TampaFL33620 United States Utah State University Department of Electrical and Computer Engineering LoganUT84322 United States
Both fixed-gain control and adaptive learning architectures aim to mitigate the effects of uncertainties. In particular, fixed-gain control offers more predictable closed-loop system behavior but requires the knowledg... 详细信息
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