بدائل البحث:
optimisation algorithm » optimization algorithms (توسيع البحث), maximization algorithm (توسيع البحث), identification algorithm (توسيع البحث)
problems optimisation » process optimisation (توسيع البحث), process optimization (توسيع البحث), robust optimisation (توسيع البحث)
art optimization » swarm optimization (توسيع البحث), after optimization (توسيع البحث), path optimization (توسيع البحث)
speech problems » sleep problems (توسيع البحث)
binary speech » ordinary speech (توسيع البحث), arbitrary speech (توسيع البحث)
binary b » binary _ (توسيع البحث)
b art » _ art (توسيع البحث), b ar (توسيع البحث)
يعرض 1 - 6 نتائج من 6 نتيجة بحث عن '(( binary speech problems optimisation algorithm ) OR ( binary b art optimization algorithm ))', وقت الاستعلام: 0.40s تنقيح النتائج
  1. 1
    Performance Comparison of State-of-the-Art WPT-MEC Offloading Methods.

    Performance Comparison of State-of-the-Art WPT-MEC Offloading Methods. حسب Hend Bayoumi (22693738)

    منشور في 2025
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    محفوظ في:
  2. 2
    <i>hi</i>PRS algorithm process flow.

    <i>hi</i>PRS algorithm process flow. حسب Michela C. Massi (14599915)

    منشور في 2023
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  3. 3
    Classification baseline performance.

    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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  4. 4
    Feature selection results.

    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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  5. 5
    ANOVA test result.

    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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  6. 6
    Summary of literature review.

    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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    محفوظ في:

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