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Showing 1 - 20 results of 339 for search '(((( elements box algorithm ) OR ( elements tree algorithms ))) OR ( level coding algorithm ))', query time: 0.41s Refine Results
  1. 1
    Flowchart of DQN algorithm.

    Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

    Published 2025
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  2. 2
    Comparison of different algorithms.

    Comparison of different algorithms. by Jiandong Qiu (20389944)

    Published 2025
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  3. 3
    Main code.

    Main code. by Jingguo Bi (21439766)

    Published 2025
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  4. 4
    Ablation study visualization results.

    Ablation study visualization results. by Xiaozhou Feng (2918222)

    Published 2025
    “…Second, a Large Separable Kernel Attention (LSKA) mechanism is incorporated into the Spatial Pyramid Pooling-Fast (SPPF) module of YOLOv8, improving the model’s ability to perceive fine details of diseased trees and reducing interference from other elements in the forest. …”
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  5. 5
    Experimental parameter configuration.

    Experimental parameter configuration. by Xiaozhou Feng (2918222)

    Published 2025
    “…Second, a Large Separable Kernel Attention (LSKA) mechanism is incorporated into the Spatial Pyramid Pooling-Fast (SPPF) module of YOLOv8, improving the model’s ability to perceive fine details of diseased trees and reducing interference from other elements in the forest. …”
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  6. 6
    FLMP-YOLOv8 identification results.

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

    Published 2025
    “…Second, a Large Separable Kernel Attention (LSKA) mechanism is incorporated into the Spatial Pyramid Pooling-Fast (SPPF) module of YOLOv8, improving the model’s ability to perceive fine details of diseased trees and reducing interference from other elements in the forest. …”
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  7. 7
    C2f structure.

    C2f structure. by Xiaozhou Feng (2918222)

    Published 2025
    “…Second, a Large Separable Kernel Attention (LSKA) mechanism is incorporated into the Spatial Pyramid Pooling-Fast (SPPF) module of YOLOv8, improving the model’s ability to perceive fine details of diseased trees and reducing interference from other elements in the forest. …”
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  8. 8
    Experimental environment configuration.

    Experimental environment configuration. by Xiaozhou Feng (2918222)

    Published 2025
    “…Second, a Large Separable Kernel Attention (LSKA) mechanism is incorporated into the Spatial Pyramid Pooling-Fast (SPPF) module of YOLOv8, improving the model’s ability to perceive fine details of diseased trees and reducing interference from other elements in the forest. …”
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  9. 9
    Ablation experiment results table.

    Ablation experiment results table. by Xiaozhou Feng (2918222)

    Published 2025
    “…Second, a Large Separable Kernel Attention (LSKA) mechanism is incorporated into the Spatial Pyramid Pooling-Fast (SPPF) module of YOLOv8, improving the model’s ability to perceive fine details of diseased trees and reducing interference from other elements in the forest. …”
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  10. 10
    YOLOv8 identification results.

    YOLOv8 identification results. by Xiaozhou Feng (2918222)

    Published 2025
    “…Second, a Large Separable Kernel Attention (LSKA) mechanism is incorporated into the Spatial Pyramid Pooling-Fast (SPPF) module of YOLOv8, improving the model’s ability to perceive fine details of diseased trees and reducing interference from other elements in the forest. …”
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  11. 11
    LSKA module structure diagram.

    LSKA module structure diagram. by Xiaozhou Feng (2918222)

    Published 2025
    “…Second, a Large Separable Kernel Attention (LSKA) mechanism is incorporated into the Spatial Pyramid Pooling-Fast (SPPF) module of YOLOv8, improving the model’s ability to perceive fine details of diseased trees and reducing interference from other elements in the forest. …”
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  12. 12
    Comparison of mAP curves in ablation experiments.

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

    Published 2025
    “…Second, a Large Separable Kernel Attention (LSKA) mechanism is incorporated into the Spatial Pyramid Pooling-Fast (SPPF) module of YOLOv8, improving the model’s ability to perceive fine details of diseased trees and reducing interference from other elements in the forest. …”
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  13. 13
    FarsterBlock structure.

    FarsterBlock structure. by Xiaozhou Feng (2918222)

    Published 2025
    “…Second, a Large Separable Kernel Attention (LSKA) mechanism is incorporated into the Spatial Pyramid Pooling-Fast (SPPF) module of YOLOv8, improving the model’s ability to perceive fine details of diseased trees and reducing interference from other elements in the forest. …”
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  14. 14
    Sample augmentation and annotation illustration.

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

    Published 2025
    “…Second, a Large Separable Kernel Attention (LSKA) mechanism is incorporated into the Spatial Pyramid Pooling-Fast (SPPF) module of YOLOv8, improving the model’s ability to perceive fine details of diseased trees and reducing interference from other elements in the forest. …”
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  15. 15
    YOLOv8 model architecture diagram.

    YOLOv8 model architecture diagram. by Xiaozhou Feng (2918222)

    Published 2025
    “…Second, a Large Separable Kernel Attention (LSKA) mechanism is incorporated into the Spatial Pyramid Pooling-Fast (SPPF) module of YOLOv8, improving the model’s ability to perceive fine details of diseased trees and reducing interference from other elements in the forest. …”
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  16. 16
    FLMP-YOLOv8 architecture diagram.

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

    Published 2025
    “…Second, a Large Separable Kernel Attention (LSKA) mechanism is incorporated into the Spatial Pyramid Pooling-Fast (SPPF) module of YOLOv8, improving the model’s ability to perceive fine details of diseased trees and reducing interference from other elements in the forest. …”
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  17. 17
    Computational Procedure of the Particle Swarm Optimization (PSO) algorithm.

    Computational Procedure of the Particle Swarm Optimization (PSO) algorithm. by Meijun Shang (22806461)

    Published 2025
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  18. 18
    Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm.

    Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm. by Jiren CAO (20442214)

    Published 2024
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  19. 19
    Chromosome coding.

    Chromosome coding. by Junjie He (700642)

    Published 2024
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  20. 20
    Open-source code for the Spatial Optimization Model for Land Use (SSFLA-MLAS)

    Open-source code for the Spatial Optimization Model for Land Use (SSFLA-MLAS) by bowen pang (21837359)

    Published 2025
    “…<p dir="ltr">The open-source content is the source code of a land use spatial optimization model (SSFLA-MLAS) that couples the spatial leapfrog algorithm with multi-level multi-agent systems. …”
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