يعرض 1 - 20 نتائج من 36 نتيجة بحث عن '(( binary base codon optimization algorithm ) OR ( binary b model optimization algorithm ))', وقت الاستعلام: 0.39s تنقيح النتائج
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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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    Classification baseline performance. حسب Doaa Sami Khafaga (21463870)

    منشور في 2025
    "…The contributions include developing a baseline Convolutional Neural Network (CNN) that achieves an initial accuracy of 86.29%, surpassing existing state-of-the-art deep learning models. Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …"
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    Feature selection results. حسب Doaa Sami Khafaga (21463870)

    منشور في 2025
    "…The contributions include developing a baseline Convolutional Neural Network (CNN) that achieves an initial accuracy of 86.29%, surpassing existing state-of-the-art deep learning models. Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …"
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    ANOVA test result. حسب Doaa Sami Khafaga (21463870)

    منشور في 2025
    "…The contributions include developing a baseline Convolutional Neural Network (CNN) that achieves an initial accuracy of 86.29%, surpassing existing state-of-the-art deep learning models. Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …"
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    Summary of literature review. حسب Doaa Sami Khafaga (21463870)

    منشور في 2025
    "…The contributions include developing a baseline Convolutional Neural Network (CNN) that achieves an initial accuracy of 86.29%, surpassing existing state-of-the-art deep learning models. Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …"
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    Hierarchical clustering to infer a binary tree with <i>K</i> = 4 sampled populations. حسب Tristan Mary-Huard (3864)

    منشور في 2023
    "…After <i>K</i> − 2 = 2 steps, the resulting tree is binary and the algorithm stops.</p>…"
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