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Showing 1 - 20 results of 23 for search 'insects detection algorithm', query time: 0.17s Refine Results
  1. 1
    Comparative results of different detection algorithms.

    Comparative results of different detection algorithms. by Xiaozhou Feng (2918222)

    Published 2025
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  2. 2
    Chimera detection settings. Four different strategies were tested. We used either a batchwise or samplewise approach, and then enforced a lenient or strict requirement on the parent-chimera co-occurrence pattern.

    Chimera detection settings. Four different strategies were tested. We used either a batchwise or samplewise approach, and then enforced a lenient or strict requirement on the paren... by John Sundh (4486429)

    Published 2025
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  3. 3
    Rice-YOLO: An Automated Insect Monitoring in Rice Storage Warehouses with the Deep Learning Model

    Rice-YOLO: An Automated Insect Monitoring in Rice Storage Warehouses with the Deep Learning Model by P Vinass Jamali (20559283)

    Published 2025
    “…The findings indicated that the algorithm was rapid and effective in detecting, identifying, and quantifying insect pests in stored grains. …”
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  4. 4
    Ablation study visualization results.

    Ablation study visualization results. by Xiaozhou Feng (2918222)

    Published 2025
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  5. 5
    Experimental parameter configuration.

    Experimental parameter configuration. by Xiaozhou Feng (2918222)

    Published 2025
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  6. 6
    Comparative results of different C2f variant modules.

    Comparative results of different C2f variant modules. by Xiaozhou Feng (2918222)

    Published 2025
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  7. 7
    FLMP-YOLOv8 identification results.

    FLMP-YOLOv8 identification results. by Xiaozhou Feng (2918222)

    Published 2025
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  8. 8
    C2f structure.

    C2f structure. by Xiaozhou Feng (2918222)

    Published 2025
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  9. 9
    Experimental environment configuration.

    Experimental environment configuration. by Xiaozhou Feng (2918222)

    Published 2025
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  10. 10
    Ablation experiment results table.

    Ablation experiment results table. by Xiaozhou Feng (2918222)

    Published 2025
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  11. 11
    YOLOv8 identification results.

    YOLOv8 identification results. by Xiaozhou Feng (2918222)

    Published 2025
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  12. 12
    LSKA module structure diagram.

    LSKA module structure diagram. by Xiaozhou Feng (2918222)

    Published 2025
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  13. 13
    Comparative results of different attention mechanisms.

    Comparative results of different attention mechanisms. by Xiaozhou Feng (2918222)

    Published 2025
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  14. 14
    Comparison of mAP curves in ablation experiments.

    Comparison of mAP curves in ablation experiments. by Xiaozhou Feng (2918222)

    Published 2025
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  15. 15
    Comparison of loss function curves before and after improvement.

    Comparison of loss function curves before and after improvement. by Xiaozhou Feng (2918222)

    Published 2025
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  16. 16
    FarsterBlock structure.

    FarsterBlock structure. by Xiaozhou Feng (2918222)

    Published 2025
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  17. 17
    Sample augmentation and annotation illustration.

    Sample augmentation and annotation illustration. by Xiaozhou Feng (2918222)

    Published 2025
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  18. 18
    YOLOv8 model architecture diagram.

    YOLOv8 model architecture diagram. by Xiaozhou Feng (2918222)

    Published 2025
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  19. 19
    Example sample image of pine wood nematode-infected trees.

    Example sample image of pine wood nematode-infected trees. by Xiaozhou Feng (2918222)

    Published 2025
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  20. 20
    FLMP-YOLOv8 architecture diagram.

    FLMP-YOLOv8 architecture diagram. by Xiaozhou Feng (2918222)

    Published 2025
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