بدائل البحث:
bayesian optimization » based optimization (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
primary cell » primary cells (توسيع البحث), primary cilia (توسيع البحث), primary care (توسيع البحث)
art bayesian » a bayesian (توسيع البحث), from bayesian (توسيع البحث), _ bayesian (توسيع البحث)
binary art » binary pairs (توسيع البحث)
bayesian optimization » based optimization (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
primary cell » primary cells (توسيع البحث), primary cilia (توسيع البحث), primary care (توسيع البحث)
art bayesian » a bayesian (توسيع البحث), from bayesian (توسيع البحث), _ bayesian (توسيع البحث)
binary art » binary pairs (توسيع البحث)
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Comparison of the four models.
منشور في 2025"…</p><p>Results</p><p>The logistic regression model emerged as the optimal model for predicting recurrence of NPM with machine learning, primarily utilizing three variables: FIB, bacterial infection, and CD4<sup>+</sup> T cell count. …"
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The workflow of the proposed model.
منشور في 2024"…To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"
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DataSheet1_Development of an Intelligent Power Management System for Solar PV-Wind-Battery-Fuel-Cell Integrated System.docx
منشور في 2021"…<p>The objective of this work is to develop a power management system that will control the power flow of an integrated renewable energy system with the focus on solar energy and wind energy and dual energy storage systems (batteries are used as the primary energy storage system for short to moderate storage term, whereas hydrogen fuel cell is used as a backup and long-term energy storage). …"
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Set of variables VS model performance.
منشور في 2025"…</p><p>Results</p><p>The logistic regression model emerged as the optimal model for predicting recurrence of NPM with machine learning, primarily utilizing three variables: FIB, bacterial infection, and CD4<sup>+</sup> T cell count. …"
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Proposed model tuned hyperparameters.
منشور في 2024"…To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"
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Proposed model sensitivity outcome.
منشور في 2024"…To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …"