بدائل البحث:
probes optimization » process optimization (توسيع البحث), robust optimization (توسيع البحث), property optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
image probes » imaging probes (توسيع البحث), image pre (توسيع البحث)
binary 2 » binary _ (توسيع البحث), binary b (توسيع البحث)
2 based » _ based (توسيع البحث), 1 based (توسيع البحث), ai based (توسيع البحث)
probes optimization » process optimization (توسيع البحث), robust optimization (توسيع البحث), property optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
image probes » imaging probes (توسيع البحث), image pre (توسيع البحث)
binary 2 » binary _ (توسيع البحث), binary b (توسيع البحث)
2 based » _ based (توسيع البحث), 1 based (توسيع البحث), ai based (توسيع البحث)
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Medium-scale dataset comparative analysis using the number of features selected.
منشور في 2023الموضوعات: -
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Large-scale dataset comparative analysis using the number of features selected.
منشور في 2023الموضوعات: -
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Small-scale dataset comparative analysis using the number of features selected.
منشور في 2023الموضوعات: -
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The Pseudo-Code of the IRBMO Algorithm.
منشور في 2025"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"
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IRBMO vs. meta-heuristic algorithms boxplot.
منشور في 2025"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"
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IRBMO vs. feature selection algorithm boxplot.
منشور في 2025"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"