يعرض 1 - 20 نتائج من 56 نتيجة بحث عن '(( binary b model optimization algorithm ) OR ( binary image model optimization algorithm ))', وقت الاستعلام: 0.47s تنقيح النتائج
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    Flowchart scheme of the ML-based model. حسب Noshaba Qasmi (20405009)

    منشور في 2024
    "…<b>K)</b> Algorithm selection from all models. <b>L)</b> Random forest selection. …"
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    ROC curve for binary classification. حسب Nicodemus Songose Awarayi (18414494)

    منشور في 2024
    "…To achieve this, we focused the study on addressing the challenge of image noise, which impacts the performance of deep learning models. …"
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    Confusion matrix for binary classification. حسب Nicodemus Songose Awarayi (18414494)

    منشور في 2024
    "…To achieve this, we focused the study on addressing the challenge of image noise, which impacts the performance of deep learning models. …"
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    A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

    منشور في 2025
    "…Future work aims to generalize this algorithm for broader biological applications by training additional Cellpose models and adapting the A* framework.…"
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    Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm حسب Hussein Ali Bardan (21976208)

    منشور في 2025
    "…In this work, we propose a novel framework that integrates </p><p dir="ltr">Convolutional Neural Networks (CNNs) for image classification and a binary Grey Wolf Optimization (GWO) </p><p dir="ltr">algorithm for feature selection. …"
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    <i>hi</i>PRS algorithm process flow. حسب Michela C. Massi (14599915)

    منشور في 2023
    "…<b>(B)</b> Focusing on the positive class only, the algorithm exploits FIM (<i>apriori</i> algorithm) to build a list of candidate interactions of any desired order, retaining those that have an empirical frequency above a given threshold <i>δ</i>. …"
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    Summary of existing CNN models. حسب Nicodemus Songose Awarayi (18414494)

    منشور في 2024
    "…To achieve this, we focused the study on addressing the challenge of image noise, which impacts the performance of deep learning models. …"
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