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Showing 21 - 40 results of 57 for search '(( final whole process optimization algorithm ) OR ( binary step process optimization algorithm ))', query time: 0.34s Refine Results
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    Structures of swin transformer block. by Ruikang Xu (18778060)

    Published 2024
    “…Meanwhile, the feature pyramid network (FPN) enriches multiple levels of features and enhances the discriminative ability of the whole network. Finally, to further improve our detection results, we incorporated non-maximum suppression (Soft NMS) and Cascade R-CNN’s cascade structure into the optimization process to ensure more accurate and reliable prediction results. …”
  7. 27

    Pest dataset details. by Ruikang Xu (18778060)

    Published 2024
    “…Meanwhile, the feature pyramid network (FPN) enriches multiple levels of features and enhances the discriminative ability of the whole network. Finally, to further improve our detection results, we incorporated non-maximum suppression (Soft NMS) and Cascade R-CNN’s cascade structure into the optimization process to ensure more accurate and reliable prediction results. …”
  8. 28

    Data augmentation. by Ruikang Xu (18778060)

    Published 2024
    “…Meanwhile, the feature pyramid network (FPN) enriches multiple levels of features and enhances the discriminative ability of the whole network. Finally, to further improve our detection results, we incorporated non-maximum suppression (Soft NMS) and Cascade R-CNN’s cascade structure into the optimization process to ensure more accurate and reliable prediction results. …”
  9. 29

    Original and expanded datasets explained. by Ruikang Xu (18778060)

    Published 2024
    “…Meanwhile, the feature pyramid network (FPN) enriches multiple levels of features and enhances the discriminative ability of the whole network. Finally, to further improve our detection results, we incorporated non-maximum suppression (Soft NMS) and Cascade R-CNN’s cascade structure into the optimization process to ensure more accurate and reliable prediction results. …”
  10. 30

    Effect of adding different modules on mAP_0.5. by Ruikang Xu (18778060)

    Published 2024
    “…Meanwhile, the feature pyramid network (FPN) enriches multiple levels of features and enhances the discriminative ability of the whole network. Finally, to further improve our detection results, we incorporated non-maximum suppression (Soft NMS) and Cascade R-CNN’s cascade structure into the optimization process to ensure more accurate and reliable prediction results. …”
  11. 31

    Copy and paste. by Ruikang Xu (18778060)

    Published 2024
    “…Meanwhile, the feature pyramid network (FPN) enriches multiple levels of features and enhances the discriminative ability of the whole network. Finally, to further improve our detection results, we incorporated non-maximum suppression (Soft NMS) and Cascade R-CNN’s cascade structure into the optimization process to ensure more accurate and reliable prediction results. …”
  12. 32

    Pictures of some farmland pests. by Ruikang Xu (18778060)

    Published 2024
    “…Meanwhile, the feature pyramid network (FPN) enriches multiple levels of features and enhances the discriminative ability of the whole network. Finally, to further improve our detection results, we incorporated non-maximum suppression (Soft NMS) and Cascade R-CNN’s cascade structure into the optimization process to ensure more accurate and reliable prediction results. …”
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    Wavelength ranges of different colors. by Chao Ma (207385)

    Published 2025
    “…To improve the focusing efficiency and optimize the focusing process, a search strategy combining a climbing search algorithm and a traversal method was proposed. …”
  15. 35

    Pearson correlation coefficient. by Chao Ma (207385)

    Published 2025
    “…To improve the focusing efficiency and optimize the focusing process, a search strategy combining a climbing search algorithm and a traversal method was proposed. …”
  16. 36

    Scene images with multiple light sources. by Chao Ma (207385)

    Published 2025
    “…To improve the focusing efficiency and optimize the focusing process, a search strategy combining a climbing search algorithm and a traversal method was proposed. …”
  17. 37

    SIFT Quad-Tenen diagram. by Chao Ma (207385)

    Published 2025
    “…To improve the focusing efficiency and optimize the focusing process, a search strategy combining a climbing search algorithm and a traversal method was proposed. …”
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    GSE96058 information. by Sepideh Zununi Vahed (9861298)

    Published 2024
    “…Subsequently, feature selection was conducted using ANOVA and binary Particle Swarm Optimization (PSO). During the analysis phase, the discriminative power of the selected features was evaluated using machine learning classification algorithms. …”
  19. 39

    The performance of classifiers. by Sepideh Zununi Vahed (9861298)

    Published 2024
    “…Subsequently, feature selection was conducted using ANOVA and binary Particle Swarm Optimization (PSO). During the analysis phase, the discriminative power of the selected features was evaluated using machine learning classification algorithms. …”
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    Bitcoin network topology. by Dawei Xu (83739)

    Published 2023
    “…In this paper, the whole process from data collection to cluster analysis is completed and the best results are obtained by comparison. …”