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    Book and Conference Proceedings

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    Book and Conference Proceedings

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    Book and Conference Proceedings

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    Book and Conference Proceedings

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    Chapter and Conference Paper

    Research on Hierarchical Mechanism of Strictly Metric-Free Model Modeling and Parameter Optimization

    Swarm phenomena are ubiquitous in the biological world. Researching swarm models can provide us with many biological insights, hel** to reveal the behavioral mechanisms behind groups of birds, fish, insects,...

    Qing Li, Weilin Zhang, Yongnan Jia in Proceedings of 2023 Chinese Intelligent Sy… (2023)

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    Book and Conference Proceedings

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    Book and Conference Proceedings

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    Chapter and Conference Paper

    Research on Weighted Multiple Model Adaptive Control Based on U-Model

    This article proposes a method combining the U-model and weighted multiple model adaptive control to solve control problems of nonlinear uncertain plants. The key to apply the mature linear system theory to th...

    Jiayi Li, Weicun Zhang in Proceedings of 2020 Chinese Intelligent Systems Conference (2021)

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    Chapter and Conference Paper

    Real-Time Semantic Segmentation Network for Edge Deployment

    In this paper, we focus on the embedded deployment of real-time semantic segmentation network. Semantic segmentation based on convolutional neural networks has achieved impressive success in recent years, thus...

    Junfeng Zheng, Jiangyun Li, Yan Liu in Proceedings of 2019 Chinese Intelligent Sy… (2020)

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    Chapter and Conference Paper

    Visual Pose Estimation Based on the DenseNet Network

    An end-to-end neural network model based on DenseNet was designed to estimate the pose of the camera in this paper. The picture frame captured by the camera and the camera position (3-dimensional space coordin...

    Lixin Lu, Weicun Zhang in Proceedings of 2019 Chinese Intelligent Systems Conference (2020)

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    Chapter and Conference Paper

    Research on the Temperature Field and Thermal Roll Shape of Cold Rolling Model

    In the  of cold rolling production, roll shape is a very parameter. Both the disturbance variables and  variables are existing in the control system that influencing the quality of the strip shape directly...

    Zichao Sun, Weicun Zhang, Yan Liu in Proceedings of the 11th International Conf… (2020)

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    Chapter and Conference Paper

    A Retinal Vessel Segmentation Algorithm with Convolutional Neural Network

     retinal vessel segmentation technology  a critical role due to the changes in retinal blood  can be used to diagnose certain diseases. In this paper,  we propose an application based on a new convolutional ...

    Leiming Liu, Jiahao Li, Weicun Zhang in Proceedings of the 11th International Conf… (2020)

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    Chapter and Conference Paper

    Accurate Image Recognition of Plant Diseases Based on Multiple Classifiers Integration

    In agriculture, early detection of plant diseases is essential to avoid irretrievable damage to crops. However, accurate plant disease diagnosis is usually performed by professionals with high precision instru...

    Shuang Liang, Weicun Zhang in Proceedings of 2019 Chinese Intelligent Systems Conference (2020)

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    Chapter and Conference Paper

    An Aeroengine Adaptive Inverse Control Method Based on U-Model

    This paper applies the U-model control method, combined with the traditional adaptive inverse control method, to the aeroengine speed control design, directly obtaining the engine fuel flow through the inverse...

    Jiajie Chen, Zhongzhi Hu, Jiqiang Wang in Proceedings of the 11th International Conf… (2020)

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    Chapter and Conference Paper

    Research of Driving Cycle Construction for Electric Drive Mining Truck Based on Travelling Analysis Method

    This paper is concerned with the driving cycle construction for the electric drive mining truck based on travelling analysis method. Firstly, the complete operation data of the dump truck is collected, which i...

    X. Zhang, Sufang Wang, Weicun Zhang in Proceedings of 2018 Chinese Intelligent Sy… (2019)

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    Chapter and Conference Paper

    Real-Time Classification of Steel Strip Surface Defects Based on Deep CNNs

    Steel strip surface defects recognition is very important to steel strip production and quality control, in which correct classification of these surface defects is crucial. The surface defects of steel strips...

    Yan Liu, Jiahui Geng, Zhenfeng Su in Proceedings of 2018 Chinese Intelligent Sy… (2019)

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    Chapter and Conference Paper

    Edge Detection for Conveyor Belt Based on the Deep Convolutional Network

    Conveyor belt deviation is the most common failure of the conveyor system. Timely and accurate detection of deviations from conveyor belt and rapid processing are the guarantee for the safe and stable operatio...

    Yan Liu, Yao** Wang, Chan Zeng in Proceedings of 2018 Chinese Intelligent Sy… (2019)

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    Chapter and Conference Paper

    The Development of a Charge Movement Model for Blast Furnace Based on Extended Kalman Filter

    In this paper, by analyzing the movement of blast furnace charge in the void area after the chute, the system’s state equations and measurement equations are established, and the extended Kalman filter is used...

    **gchu Duan, Weicun Zhang in Proceedings of 2018 Chinese Intelligent Systems Conference (2019)

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    Chapter and Conference Paper

    Unit Commitment and Load Distribution Within a Power Plant

    With the rapid development of electricity market, a power plant or power supply producer involved in the market need to face the economic dispatch problem, which includes unit commitment and load distribution....

    **hui Zhu, Ming Guo, Sufang Wang in Proceedings of 2018 Chinese Intelligent Sy… (2019)

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    Chapter and Conference Paper

    An Overview of SLAM

    Simultaneous Localization and Map** (SLAM) based on LIDAR and Visual SLAM (VSLAM) are key technologies for mobile robot navigation. In this paper, the SLAM algorithm based on these two types of sensors is de...

    Sufang Wang, Zheng Wu, Weicun Zhang in Proceedings of 2018 Chinese Intelligent Sy… (2019)

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