يعرض 1 - 20 نتائج من 13,077 نتيجة بحث عن '(((( cloud ((mean decrease) OR (a decrease)) ) OR ( a large decrease ))) OR ( c _ decrease ))', وقت الاستعلام: 0.62s تنقيح النتائج
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    ECoG timescales decrease during spatial attention. حسب Isabel Raposo (21615517)

    منشور في 2025
    "…Bottom left: Topography of timescales during the cue-target interval (white dots indicate the ROIs). <b>(C)</b> Top: example of selective channel for left hemifield-cued trials to illustrate analysis approach to identify spatially selective channels. …"
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    Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas حسب Malena Sibaja Leyton (18400983)

    منشور في 2025
    "…Moreover, annual colony losses also decreased with higher abundance of surrounding forested area. …"
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    HDECO: A method for Decreasing energy and cost by using virtual machine migration by considering hybrid parameters حسب Arash GhorbanniaDelavar (22563696)

    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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    The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. حسب Gui Araujo (22170819)

    منشور في 2025
    "…When they stop being introduced in further assembly events (i.e. introduced species do not carry any mutualistic interactions), their proportion slowly decreases with successive invasions. (B) Even though higher proportions of mutualism promote higher richness, introducing this type of interaction into already assembled large communities promotes a sudden drop in richness, while stopping mutualism promotes a slight boost in richness increase. …"
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    Point cloud fusion instance effect. حسب Hongliang Zou (20707270)

    منشور في 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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