بدائل البحث:
path optimization » swarm optimization (توسيع البحث), whale optimization (توسيع البحث), based optimization (توسيع البحث)
art optimization » swarm optimization (توسيع البحث), after optimization (توسيع البحث), from optimization (توسيع البحث)
css path » css data (توسيع البحث)
binary b » binary _ (توسيع البحث)
b art » _ art (توسيع البحث), b ar (توسيع البحث)
path optimization » swarm optimization (توسيع البحث), whale optimization (توسيع البحث), based optimization (توسيع البحث)
art optimization » swarm optimization (توسيع البحث), after optimization (توسيع البحث), from optimization (توسيع البحث)
css path » css data (توسيع البحث)
binary b » binary _ (توسيع البحث)
b art » _ art (توسيع البحث), b ar (توسيع البحث)
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Classification baseline performance.
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.
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.
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.
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%. …"