Showing 1 - 20 results of 86 for search '(( binary cnn model optimization algorithm ) OR ( binary test based optimization algorithm ))', query time: 0.57s Refine Results
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    Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment by Jianfang Cao (1881379)

    Published 2019
    “…The support vector machine (SVM) classifier is then used to perform parallel training to obtain the optimal SVM classification model, which is then tested. …”
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    Classification baseline performance. by Doaa Sami Khafaga (21463870)

    Published 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. …”
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    Feature selection results. by Doaa Sami Khafaga (21463870)

    Published 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. …”
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    ANOVA test result. by Doaa Sami Khafaga (21463870)

    Published 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. …”
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    Summary of literature review. by Doaa Sami Khafaga (21463870)

    Published 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. …”
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