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Mean amplitude values during a complete 360° rotation for the iliocostalis muscle.
منشور في 2024"…The values for the movement half-phase with decreasing load are mirrored to enable a direct comparison between both movement half-phases. …"
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Mean amplitude values during a complete 360° rotation for the longissimus muscle.
منشور في 2024"…The values for the movement half-phase with decreasing load are mirrored to enable a direct comparison between both movement half-phases. …"
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Mean amplitude values during a complete 360° rotation for the multifidus muscle.
منشور في 2024"…The values for the movement half-phase with decreasing load are mirrored to enable a direct comparison between both movement half-phases. …"
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Mean amplitude values during a complete 360° rotation for the external oblique muscle.
منشور في 2024"…The values for the movement half-phase with decreasing load are mirrored to enable a direct comparison between both movement half-phases. …"
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Mean amplitude values during a complete 360° rotation for the internal oblique muscle.
منشور في 2024"…The values for the movement half-phase with decreasing load are mirrored to enable a direct comparison between both movement half-phases. …"
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Mean amplitude values during a complete 360° rotation for the rectus abdominis muscle.
منشور في 2024"…The values for the movement half-phase with decreasing load are mirrored to enable a direct comparison between both movement half-phases. …"
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Table of values for <i>p.</i>
منشور في 2025"…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …"
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Comparison of position trajectories and truth values of different algorithms.
منشور في 2025الموضوعات: -
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Comparison of position trajectories and truth values of different algorithms.
منشور في 2025الموضوعات: -
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HDECO: A method for Decreasing energy and cost by using virtual machine migration by considering hybrid parameters
منشور في 2025"…<h2>Summary</h2><p dir="ltr">This research introduces <b>HDECO</b> (Hybrid Decreasing Energy and Cost Optimization) — a method designed to reduce both energy consumption and execution cost in cloud datacenters through intelligent virtual machine migration. …"
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Assessment values of machine learning models.
منشور في 2025"…Although the performance of the StackBoost model decreases when applied to different datasets, it still shows considerable transferability, making it a more generalizable prediction model for aqueous solubility.…"
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