بدائل البحث:
applications algorithm » approximation algorithm (توسيع البحث), location algorithm (توسيع البحث)
learning applications » sensing applications (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
data learning » meta learning (توسيع البحث), deep learning (توسيع البحث), a learning (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
amp based » app based (توسيع البحث), snp based (توسيع البحث), ai based (توسيع البحث)
applications algorithm » approximation algorithm (توسيع البحث), location algorithm (توسيع البحث)
learning applications » sensing applications (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
data learning » meta learning (توسيع البحث), deep learning (توسيع البحث), a learning (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
amp based » app based (توسيع البحث), snp based (توسيع البحث), ai based (توسيع البحث)
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The Pseudo-Code of the IRBMO Algorithm.
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"
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Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
منشور في 2025"…In general, BRBPNN does not show any optimization adaption methods to determine the optimal parameter for appropriate detection. Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …"
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IRBMO vs. meta-heuristic algorithms boxplot.
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"
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IRBMO vs. feature selection algorithm boxplot.
منشور في 2025"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"
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Related studies on IDS using deep learning.
منشور في 2024"…This approach is not only practical for real-world applications but also enhances the theoretical understanding of managing class imbalance in machine learning. …"
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The architecture of the BI-LSTM model.
منشور في 2024"…This approach is not only practical for real-world applications but also enhances the theoretical understanding of managing class imbalance in machine learning. …"
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Comparison of accuracy and DR on UNSW-NB15.
منشور في 2024"…This approach is not only practical for real-world applications but also enhances the theoretical understanding of managing class imbalance in machine learning. …"
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Comparison of DR and FPR of UNSW-NB15.
منشور في 2024"…This approach is not only practical for real-world applications but also enhances the theoretical understanding of managing class imbalance in machine learning. …"
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