بدائل البحث:
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
task optimization » based optimization (توسيع البحث), phase optimization (توسيع البحث), path optimization (توسيع البحث)
forest model » best model (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
task optimization » based optimization (توسيع البحث), phase optimization (توسيع البحث), path optimization (توسيع البحث)
forest model » best model (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
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The Pseudo-Code of the IRBMO Algorithm.
منشور في 2025"…To address this problem, this paper proposes an improved red-billed blue magpie algorithm (IRBMO), which is specifically optimized for the feature selection task, and significantly improves the performance and efficiency of the algorithm on medical data by introducing multiple innovative behavioral strategies. …"
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Proposed Algorithm.
منشور في 2025"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …"
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IRBMO vs. meta-heuristic algorithms boxplot.
منشور في 2025"…To address this problem, this paper proposes an improved red-billed blue magpie algorithm (IRBMO), which is specifically optimized for the feature selection task, and significantly improves the performance and efficiency of the algorithm on medical data by introducing multiple innovative behavioral strategies. …"
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IRBMO vs. feature selection algorithm boxplot.
منشور في 2025"…To address this problem, this paper proposes an improved red-billed blue magpie algorithm (IRBMO), which is specifically optimized for the feature selection task, and significantly improves the performance and efficiency of the algorithm on medical data by introducing multiple innovative behavioral strategies. …"
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Flowchart scheme of the ML-based model.
منشور في 2024"…<b>I)</b> Testing data consisting of 20% of the entire dataset. <b>J)</b> Optimization of hyperparameter tuning. <b>K)</b> Algorithm selection from all models. …"
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The comparison of the accuracy score of the benchmark and the proposed models.
منشور في 2025الموضوعات: -
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