بدائل البحث:
guided optimization » based optimization (توسيع البحث), model optimization (توسيع البحث)
art optimization » swarm optimization (توسيع البحث), after optimization (توسيع البحث), path optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data art » data part (توسيع البحث), data a (توسيع البحث), data all (توسيع البحث)
guided optimization » based optimization (توسيع البحث), model optimization (توسيع البحث)
art optimization » swarm optimization (توسيع البحث), after optimization (توسيع البحث), path optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data art » data part (توسيع البحث), data a (توسيع البحث), data all (توسيع البحث)
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The flowchart of the proposed algorithm.
منشور في 2024"…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …"
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The statistical description of the original data set of the patients (<i>n</i> = 162).
منشور في 2025الموضوعات: -
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The list of parameters of the modified data set for machine learning (<i>n</i> = 162).
منشور في 2025الموضوعات: -
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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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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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ROC and PR–AUC curves of the ABC–LR–RF hybrid model for IVF outcome prediction.
منشور في 2025الموضوعات: -
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The comparison of the accuracy score of the benchmark and the proposed models.
منشور في 2025الموضوعات: -
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Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%).
منشور في 2025الموضوعات: -
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Calibration curve of the ABC–LR–RF hybrid model for IVF outcome prediction.
منشور في 2025الموضوعات: -
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