يعرض 1 - 20 نتائج من 34 نتيجة بحث عن '(( primary level global optimization algorithm ) OR ( binary basic based optimization algorithm ))', وقت الاستعلام: 0.60s تنقيح النتائج
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    Features selected by optimization algorithms. حسب Afnan M. Alhassan (18349378)

    منشور في 2024
    "…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
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    Hybrid feature selection algorithm of CSCO-ROA. حسب Afnan M. Alhassan (18349378)

    منشور في 2024
    "…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
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    Performance metrics for BrC. حسب Afnan M. Alhassan (18349378)

    منشور في 2024
    "…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
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    Proposed CVAE model. حسب Afnan M. Alhassan (18349378)

    منشور في 2024
    "…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
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    Proposed methodology. حسب Afnan M. Alhassan (18349378)

    منشور في 2024
    "…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
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    Loss vs. Epoch. حسب Afnan M. Alhassan (18349378)

    منشور في 2024
    "…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
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    Sample images from the BreakHis dataset. حسب Afnan M. Alhassan (18349378)

    منشور في 2024
    "…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
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    Accuracy vs. Epoch. حسب Afnan M. Alhassan (18349378)

    منشور في 2024
    "…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
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    Segmentation results of the proposed model. حسب Afnan M. Alhassan (18349378)

    منشور في 2024
    "…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
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    S1 Dataset - حسب Afnan M. Alhassan (18349378)

    منشور في 2024
    "…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
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    CSCO’s flowchart. حسب Afnan M. Alhassan (18349378)

    منشور في 2024
    "…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
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    Minimal Dateset. حسب Hongwei Yue (574068)

    منشور في 2025
    "…<div><p>As digital governance progresses rapidly, constructing digital portraits of residents has become instrumental in enhancing local-level administrative capabilities. Nonetheless, traditional K-means clustering algorithms struggle with the classification of high-dimensional and complex data, thereby limiting their effectiveness. …"
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    Loss Function Comparison. حسب Hongwei Yue (574068)

    منشور في 2025
    "…<div><p>As digital governance progresses rapidly, constructing digital portraits of residents has become instrumental in enhancing local-level administrative capabilities. Nonetheless, traditional K-means clustering algorithms struggle with the classification of high-dimensional and complex data, thereby limiting their effectiveness. …"