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Detection of conductive multi-particles based on circular convolutional neural network
Information Sciences | 更新时间：2024-07-10
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    • Detection of conductive multi-particles based on circular convolutional neural network

    • “In the field of improving the accuracy and stability of detecting adhesive conductive particles, researchers have proposed a new method based on circular convolutional neural networks. By modifying the sampling strategy and adding attention mechanisms, the detection effect has been significantly improved, meeting the needs of industrial production.”
    • Optics and Precision Engineering   Vol. 32, Issue 11, Pages: 1788-1800(2024)

    • DOI：10.37188/OPE.20243211.1788    

      CLC： TP394.1

    • Received：25 December 2023，

      Revised：20 February 2024，

      Published：10 June 2024

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  • LIU Zilong,LUO Chen,ZHOU Yijun,et al.Detection of conductive multi-particles based on circular convolutional neural network[J].Optics and Precision Engineering,2024,32(11):1788-1800. DOI： 10.37188/OPE.20243211.1788.

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