Search Results - "Shaolin Ran"

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  1. 1

    Design, modeling, and robust control of the flexible rotor to pass the first bending critical speed with active magnetic bearing by Ran, Shaolin, Hu, Yefa, Wu, Huachun

    Published in Advances in mechanical engineering (01-02-2018)
    “…Recently, magnetic bearings have been applied to many rotating machines such as turbo-molecular pumps, cooling gas compressor, flywheel energy storage systems…”
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    Journal Article
  2. 2

    Active vibration control of the flexible high-speed rotor with magnetic bearings via phase compensation to pass critical speed by Ran, Shaolin, Hu, Yefa, Wu, Huachun, Cheng, Xin

    “…In modern industries, high-speed motors and generators have received great attention, and they are widely used in micro turbine, centrifugal compressor,…”
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    Journal Article
  3. 3

    Study on mixed H2/H∞ output feedback control of maglev actuator for microgravity vibration isolation system by Chen, Changhao, Hu, Yefa, Wu, Huachun, Song, Chunsheng, Ran, Shaolin

    Published in Advances in mechanical engineering (01-02-2019)
    “…Aiming at how to specify the fundamental trade-off between robust stability and nominal performance of mixed H2/H∞ control as well as lack of experimental…”
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    Journal Article
  4. 4

    Spatial correlation learning based on graph neural network for medium-term wind power forecasting by Zhao, Beizhen, He, Xin, Ran, Shaolin, Zhang, Yong, Cheng, Cheng

    Published in Energy (Oxford) (01-06-2024)
    “…With the increasing penetration of wind power in power grid, accurate and reliable wind power forecasting is of great significance for the economic operation…”
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    Journal Article
  5. 5

    Privacy-preserving small target defect detection of heat sink based on DeceFL and DSUNet by Guo, Feng, Zhang, Yong, Lan, Rukai, Ran, Shaolin, Liang, Yingjie

    Published in Neurocomputing (Amsterdam) (28-03-2024)
    “…Surface defect detection is directly related to the quality of products and crucial for industrial production. Currently, convolutional neural network…”
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    Journal Article
  6. 6

    Software-hardware co-design for accelerating large-scale graph convolutional network inference on FPGA by Ran, Shaolin, Zhao, Beizhen, Dai, Xing, Cheng, Cheng, Zhang, Yong

    Published in Neurocomputing (Amsterdam) (01-05-2023)
    “…Inspired by convolutional neural networks, graph convolutional networks (GCNs) have been proposed for processing non-Euclidean graph data and successfully been…”
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    Journal Article
  7. 7

    Prediction of gas concentration evolution with evolutionary attention-based temporal graph convolutional network by Cheng, Lei, Li, Li, Li, Sai, Ran, Shaolin, Zhang, Ze, Zhang, Yong

    Published in Expert systems with applications (15-08-2022)
    “…Accurate prediction of gas concentration is of great importance in many safe-based systems and applications. However, prediction accuracy of gas concentration…”
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    Journal Article
  8. 8

    Diagnosis of arrhythmias with few abnormal ECG samples using metric-based meta learning by Liu, Zhenxing, Chen, Yujie, Zhang, Yong, Ran, Shaolin, Cheng, Cheng, Yang, Guili

    Published in Computers in biology and medicine (01-02-2023)
    “…A major challenge in artificial intelligence based ECG diagnosis lies that it is difficult to obtain sufficient annotated training samples for each rhythm…”
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    Journal Article
  9. 9

    APPFNet: Adaptive point-pixel fusion network for 3D semantic segmentation with neighbor feature aggregation by Wu, Zhaolong, Zhang, Yong, Lan, Rukai, Qiu, Shaohua, Ran, ShaoLin, Liu, Yifan

    Published in Expert systems with applications (01-10-2024)
    “…3D semantic segmentation is significant for scene understanding in various domains, such as autonomous driving, mapping, and robotics. Existing research often…”
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    Journal Article
  10. 10

    Homecare-Oriented ECG Diagnosis With Large-Scale Deep Neural Network for Continuous Monitoring on Embedded Devices by Ran, Shaolin, Yang, Xiaoyun, Liu, Ming, Zhang, Yong, Cheng, Cheng, Zhu, Hongling, Yuan, Ye

    “…The accurate electrocardiogram (ECG) interpretation is important for several potentially life-threatening cardiac diseases. Recently developed deep learning…”
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    Journal Article
  11. 11

    Label correlation embedding guided network for multi-label ECG arrhythmia diagnosis by Ran, Shaolin, Li, Xiang, Zhao, Beizhen, Jiang, Yinuo, Yang, Xiaoyun, Cheng, Cheng

    Published in Knowledge-based systems (21-06-2023)
    “…In clinical practice, one patient may suffer from more than one arrhythmia simultaneously, that is, one ECG record may be associated with multiple types of…”
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    Journal Article
  12. 12

    Study on mixed H 2 /H ∞ output feedback control of maglev actuator for microgravity vibration isolation system by Chen, Changhao, Hu, Yefa, Wu, Huachun, Song, Chunsheng, Ran, Shaolin

    Published in Advances in mechanical engineering (01-02-2019)
    “…Aiming at how to specify the fundamental trade-off between robust stability and nominal performance of mixed H 2 /H ∞ control as well as lack of experimental…”
    Get full text
    Journal Article
  13. 13

    Study on mixed H/H output feedback control of maglev actuator for microgravity vibration isolation system by Changhao Chen, Yefa Hu, Huachun Wu, Chunsheng Song, Shaolin Ran

    Published in Advances in mechanical engineering (01-02-2019)
    “…Aiming at how to specify the fundamental trade-off between robust stability and nominal performance of mixed H 2 /H ∞ control as well as lack of experimental…”
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    Journal Article
  14. 14

    Surface Defect Detection of Heat Sink Based on Federated Learning and Improved UNet by Guo, Feng, Li, Xiaohua, Hou, Zhiyan, Lan, Rukai, Ran, Shaolin, Zhang, Yong

    Published in 2023 China Automation Congress (CAC) (17-11-2023)
    “…Surface defect detection directly affects product quality and is essential for industrial production. However, the detection accuracy is limited due to the…”
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    Conference Proceeding
  15. 15

    A FPGA Deployment System Based on Convolutional Neural Network for Rolling Bearing Diagnosis by Tan, Peixin, Ma, Guijun, Ran, Shaolin, Hu, Pengchao

    “…Real-time fault diagnosis of rolling bearing is a challenging issue for industry. Although artificial intelligence-based technologies could be well used for…”
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    Conference Proceeding