Showing 1 - 20 results of 6,788 for search '(((( cloud a decrease ) OR ( _ mean decrease ))) OR ( a ((laser decrease) OR (linear decrease)) ))', query time: 0.48s Refine Results
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    S2 File - Factors influencing effective decrease of controlled attenuation parameters in metabolic-associated steatotic liver disease: A multilevel linear regression analysis at Vajira Hospital by Sonsawan Sangprasert (22772538)

    Published 2025
    “…S2 File - <p>Factors influencing effective decrease of controlled attenuation parameters in metabolic-associated steatotic liver disease: A multilevel linear regression analysis at Vajira Hospital</p>…”
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    HSF2 reduced the decrease in the MMP in Caco-2 cells, which were observed by laser confocal microscopy. by Wen Wang (6570)

    Published 2025
    “…All the data in this study was presented as mean ± SEM.</p>…”
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    Displacement cloud maps. by Maogang Tian (21485116)

    Published 2025
    “…Furthermore, parametric studies reveal that the pile base displacement exhibits a non-linear trend of initially decreasing and then increasing with larger inclination angles of the inclined piles. …”
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    HDECO: A method for Decreasing energy and cost by using virtual machine migration by considering hybrid parameters by Arash GhorbanniaDelavar (22563696)

    Published 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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    Estimated mean values for light interception. by Torsten Schober (20485754)

    Published 2024
    “…An increase in PD led to a linear decrease in inflorescence yield per plant (<i>p</i> = 0.02), whereas a positive linear relationship was found for inflorescence yield (<i>p</i> = 0.0001) and CBD yield (<i>p</i> = 0.0002) per m<sup>2</sup>. …”
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    Point cloud fusion instance effect. by Hongliang Zou (20707270)

    Published 2025
    “…<div><p>The study proposes a multi-sensor localization and real-timeble mapping method based on the fusion of 3D LiDAR point clouds and visual-inertial data, which addresses the issue of decreased localization accuracy and mapping in complex environments that affect the autonomous navigation of robot dogs. …”
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