Showing 1 - 20 results of 22 for search '(( less based fusion optimization algorithm ) OR ( binary basic based optimization algorithm ))', query time: 1.27s Refine Results
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    Flow chart of particle swarm algorithm. by Nour Eldeen Mahmoud Khalifa (19259450)

    Published 2024
    “…</p><p>Method</p><p>In this paper, a deep fusion model based on whale optimization and an artificial neural network for Arabian date classification is proposed. …”
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    The structure of the Resnet50. by Nour Eldeen Mahmoud Khalifa (19259450)

    Published 2024
    “…</p><p>Method</p><p>In this paper, a deep fusion model based on whale optimization and an artificial neural network for Arabian date classification is proposed. …”
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    The bottleneck residual block for Resnet50. by Nour Eldeen Mahmoud Khalifa (19259450)

    Published 2024
    “…</p><p>Method</p><p>In this paper, a deep fusion model based on whale optimization and an artificial neural network for Arabian date classification is proposed. …”
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    DeepDate model’s architecture design. by Nour Eldeen Mahmoud Khalifa (19259450)

    Published 2024
    “…</p><p>Method</p><p>In this paper, a deep fusion model based on whale optimization and an artificial neural network for Arabian date classification is proposed. …”
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    Schematic diagram of weld surface defects. by Xiangqian Xu (17310895)

    Published 2024
    “…Aiming at the small defect size in the weld image, which is easy to cause missed detection and false detection, a lightweight target detection algorithm based on improved YOLOv7 is proposed. Firstly, in the feature fusion network of YOLOv7, the detection ability of the algorithm to detect small and medium-sized targets in defect images is enhanced by adding a 160*160 small target detection head. …”
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    Improved YOLOv7 network structure. by Xiangqian Xu (17310895)

    Published 2024
    “…Aiming at the small defect size in the weld image, which is easy to cause missed detection and false detection, a lightweight target detection algorithm based on improved YOLOv7 is proposed. Firstly, in the feature fusion network of YOLOv7, the detection ability of the algorithm to detect small and medium-sized targets in defect images is enhanced by adding a 160*160 small target detection head. …”
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    Renderings of data enhancements. by Xiangqian Xu (17310895)

    Published 2024
    “…Aiming at the small defect size in the weld image, which is easy to cause missed detection and false detection, a lightweight target detection algorithm based on improved YOLOv7 is proposed. Firstly, in the feature fusion network of YOLOv7, the detection ability of the algorithm to detect small and medium-sized targets in defect images is enhanced by adding a 160*160 small target detection head. …”
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    Number and size of marked defects. by Xiangqian Xu (17310895)

    Published 2024
    “…Aiming at the small defect size in the weld image, which is easy to cause missed detection and false detection, a lightweight target detection algorithm based on improved YOLOv7 is proposed. Firstly, in the feature fusion network of YOLOv7, the detection ability of the algorithm to detect small and medium-sized targets in defect images is enhanced by adding a 160*160 small target detection head. …”
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    Loss function curve. by Xiangqian Xu (17310895)

    Published 2024
    “…Aiming at the small defect size in the weld image, which is easy to cause missed detection and false detection, a lightweight target detection algorithm based on improved YOLOv7 is proposed. Firstly, in the feature fusion network of YOLOv7, the detection ability of the algorithm to detect small and medium-sized targets in defect images is enhanced by adding a 160*160 small target detection head. …”
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    Precision-Recall curve. by Xiangqian Xu (17310895)

    Published 2024
    “…Aiming at the small defect size in the weld image, which is easy to cause missed detection and false detection, a lightweight target detection algorithm based on improved YOLOv7 is proposed. Firstly, in the feature fusion network of YOLOv7, the detection ability of the algorithm to detect small and medium-sized targets in defect images is enhanced by adding a 160*160 small target detection head. …”
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    Comparison experiment results. by Xiangqian Xu (17310895)

    Published 2024
    “…Aiming at the small defect size in the weld image, which is easy to cause missed detection and false detection, a lightweight target detection algorithm based on improved YOLOv7 is proposed. Firstly, in the feature fusion network of YOLOv7, the detection ability of the algorithm to detect small and medium-sized targets in defect images is enhanced by adding a 160*160 small target detection head. …”
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    Ablation experiment results. by Xiangqian Xu (17310895)

    Published 2024
    “…Aiming at the small defect size in the weld image, which is easy to cause missed detection and false detection, a lightweight target detection algorithm based on improved YOLOv7 is proposed. Firstly, in the feature fusion network of YOLOv7, the detection ability of the algorithm to detect small and medium-sized targets in defect images is enhanced by adding a 160*160 small target detection head. …”
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    Deepwise separable convolution structure diagram. by Xiangqian Xu (17310895)

    Published 2024
    “…Aiming at the small defect size in the weld image, which is easy to cause missed detection and false detection, a lightweight target detection algorithm based on improved YOLOv7 is proposed. Firstly, in the feature fusion network of YOLOv7, the detection ability of the algorithm to detect small and medium-sized targets in defect images is enhanced by adding a 160*160 small target detection head. …”