Showing 1 - 17 results of 17 for search 'multiple edge detection algorithm', query time: 0.28s Refine Results
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    The qualitative comparisons on TNO 02.png. by Xicheng Sun (2104468)

    Published 2025
    “…Additionally, it demonstrates good performance in terms of operational efficiency. Moreover, target detection performance experiments conducted on the dataset confirm the superior performance of the proposed algorithm.…”
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    The spatial attention wo proposed (MHSA). by Xicheng Sun (2104468)

    Published 2025
    “…Additionally, it demonstrates good performance in terms of operational efficiency. Moreover, target detection performance experiments conducted on the dataset confirm the superior performance of the proposed algorithm.…”
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    Dual-branch multilevel fusion module (DMFM). by Xicheng Sun (2104468)

    Published 2025
    “…Additionally, it demonstrates good performance in terms of operational efficiency. Moreover, target detection performance experiments conducted on the dataset confirm the superior performance of the proposed algorithm.…”
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    The qualitative comparisons on TNO 01.png. by Xicheng Sun (2104468)

    Published 2025
    “…Additionally, it demonstrates good performance in terms of operational efficiency. Moreover, target detection performance experiments conducted on the dataset confirm the superior performance of the proposed algorithm.…”
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    The framework of method we proposed (DMCM). by Xicheng Sun (2104468)

    Published 2025
    “…Additionally, it demonstrates good performance in terms of operational efficiency. Moreover, target detection performance experiments conducted on the dataset confirm the superior performance of the proposed algorithm.…”
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    Configuration of training parameters. by Fangzhe Chang (20896737)

    Published 2025
    “…This method, named YOLOv5ds-RC, comprises three primary components: target detection, semantic segmentation, and edge optimization. …”
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    The principle of surface compression. by Fangzhe Chang (20896737)

    Published 2025
    “…This method, named YOLOv5ds-RC, comprises three primary components: target detection, semantic segmentation, and edge optimization. …”
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    Accuracy comparison results. by Fangzhe Chang (20896737)

    Published 2025
    “…This method, named YOLOv5ds-RC, comprises three primary components: target detection, semantic segmentation, and edge optimization. …”
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    Schematic diagram of YOLOv5ds structure. by Fangzhe Chang (20896737)

    Published 2025
    “…This method, named YOLOv5ds-RC, comprises three primary components: target detection, semantic segmentation, and edge optimization. …”
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    Schematic diagram of YOLOv5ds-RC structure. by Fangzhe Chang (20896737)

    Published 2025
    “…This method, named YOLOv5ds-RC, comprises three primary components: target detection, semantic segmentation, and edge optimization. …”
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    Cropped image block diagram. by Fangzhe Chang (20896737)

    Published 2025
    “…This method, named YOLOv5ds-RC, comprises three primary components: target detection, semantic segmentation, and edge optimization. …”
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    Class-specific Joint Feature Screening in Ultrahigh-dimensional Mixture Regression* by Kaili Jing (20775121)

    Published 2025
    “…The new method is built upon a sparsity-restricted expectation-approximation-maximization algorithm, which simultaneously removes varying sets of irrelevant features from multiple latent classes. …”
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    Data Sheet 1_Network analysis of chronic disease among middle-aged and older adults in China: a nationwide survey.csv by Chen Chen (6544)

    Published 2025
    “…Community detection identified groups of closely related diseases using the Louvain algorithm. …”
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    Table 2_Network analysis of chronic disease among middle-aged and older adults in China: a nationwide survey.xlsx by Chen Chen (6544)

    Published 2025
    “…Community detection identified groups of closely related diseases using the Louvain algorithm. …”
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    Table 1_Network analysis of chronic disease among middle-aged and older adults in China: a nationwide survey.docx by Chen Chen (6544)

    Published 2025
    “…Community detection identified groups of closely related diseases using the Louvain algorithm. …”