يعرض 61 - 80 نتائج من 80 نتيجة بحث عن '(( fox optimization algorithm ) OR ( codon optimization algorithm ))', وقت الاستعلام: 0.27s تنقيح النتائج
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    Flowchart of OOA. حسب Mohammed Alqahtani (2049139)

    منشور في 2025
    الموضوعات:
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    MERS-CoV Spike Gene Evolution through Codon Bias and Nucleotide Composition: Insights from 1,746 Genomes حسب Tahir Bhatti (20961974)

    منشور في 2025
    "…</p><p dir="ltr">After correction for sequence completeness and application of a per-amino-acid Nc algorithm (Bhatti, 2025), MERS-CoV exhibits strong codon bias (Nc ≈ 42) and low host adaptation paralleling SARS-CoV-2 and contrasting with partially adapted viruses like H5N1. …"
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    Block diagram of 2-DOF PIDA controller. حسب Erdal Eker (19251018)

    منشور في 2025
    "…The proposed GCRA-based 2-DOF PIDA controller is evaluated through extensive simulations and compared against state-of-the-art metaheuristic tuning approaches, including polar fox optimization (PFA), hiking optimization (HOA), success-history based adaptive differential evolution with linear population size reduction (L-SHADE), and particle swarm optimization (PSO), as well as several benchmark furnace control methods. …"
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    Zoomed view of Fig 7. حسب Erdal Eker (19251018)

    منشور في 2025
    "…The proposed GCRA-based 2-DOF PIDA controller is evaluated through extensive simulations and compared against state-of-the-art metaheuristic tuning approaches, including polar fox optimization (PFA), hiking optimization (HOA), success-history based adaptive differential evolution with linear population size reduction (L-SHADE), and particle swarm optimization (PSO), as well as several benchmark furnace control methods. …"
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    Zoomed view of Fig 10. حسب Erdal Eker (19251018)

    منشور في 2025
    "…The proposed GCRA-based 2-DOF PIDA controller is evaluated through extensive simulations and compared against state-of-the-art metaheuristic tuning approaches, including polar fox optimization (PFA), hiking optimization (HOA), success-history based adaptive differential evolution with linear population size reduction (L-SHADE), and particle swarm optimization (PSO), as well as several benchmark furnace control methods. …"
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