بدائل البحث:
rapid classification » based classification (توسيع البحث), pd classification (توسيع البحث), ad classification (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
binary phase » binary image (توسيع البحث), final phase (توسيع البحث)
binary b » binary _ (توسيع البحث)
b based » _ based (توسيع البحث), 1 based (توسيع البحث), 2 based (توسيع البحث)
rapid classification » based classification (توسيع البحث), pd classification (توسيع البحث), ad classification (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
binary phase » binary image (توسيع البحث), final phase (توسيع البحث)
binary b » binary _ (توسيع البحث)
b based » _ based (توسيع البحث), 1 based (توسيع البحث), 2 based (توسيع البحث)
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Dataset 1: Zip file containing the figures of the presented methods and results in jpeg files
منشور في 2025"…<p dir="ltr">Figures represented here illustrates the <b>metaheuristic-based band selection framework</b> for hyperspectral image classification using <b>Binary Jaya Algorithm enhanced with a mutation operator</b> to improve population diversity and avoid premature convergence. …"
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<i>hi</i>PRS algorithm process flow.
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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Design and implementation of the Multiple Criteria Decision Making (MCDM) algorithm for predicting the severity of COVID-19.
منشور في 2021"…<p>(A). The MCDM algorithm-Stage 1. Preprocessing, this stage is the process of refining the collected raw data to eliminate noise, including correlation analysis and feature selection based on P values. …"
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Related studies on IDS using deep learning.
منشور في 2024"…The model’s binary and multi-class classification accuracies on the UNSW-NB15 dataset are 99.56% and 99.45%, respectively. …"
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The architecture of the BI-LSTM model.
منشور في 2024"…The model’s binary and multi-class classification accuracies on the UNSW-NB15 dataset are 99.56% and 99.45%, respectively. …"
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Comparison of accuracy and DR on UNSW-NB15.
منشور في 2024"…The model’s binary and multi-class classification accuracies on the UNSW-NB15 dataset are 99.56% and 99.45%, respectively. …"
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Comparison of DR and FPR of UNSW-NB15.
منشور في 2024"…The model’s binary and multi-class classification accuracies on the UNSW-NB15 dataset are 99.56% and 99.45%, respectively. …"
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Flowchart scheme of the ML-based model.
منشور في 2024"…<b>Fii)</b> Texture information using local binary patterns. …"
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