يعرض 1 - 20 نتائج من 5,583 نتيجة بحث عن '(((( learning ((nn decrease) OR (_ decrease)) ) OR ( _ large decrease ))) OR ( a linear decrease ))', وقت الاستعلام: 0.66s تنقيح النتائج
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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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    <b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" حسب Kira Shaw (18796168)

    منشور في 2025
    "…<p dir="ltr">The CSV file 'Eyreetal_DrainingVein_SourceData' contains the averaged time series traces and extracted metrics from individual experiments used across Figures 1-5 in the manuscript "Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins". The following acronyms included in the CSV file are defined as follows: Hbt is total hemoglobin, Art is artery region, DV is draining vein region, WV is whisker vein region, SEM is standard error mean, TS is time series, max peak is maximum peak, min peak is minima, AUC is area under the curve, WT is wild-type, AD is Alzheimer's disease, ATH is atherosclerosis and MIX is mixed AD/atherosclerosis. …"
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    A Locally Linear Dynamic Strategy for Manifold Learning. حسب Weifan Wang (4669081)

    منشور في 2025
    "…For 10-30% noise, where the Hebbian network employs a local linear transform, learning selectively increases signal direction alignment (blue) while simultaneously decreasing noise direction alignment (orange). …"
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    Structure of a trial. حسب Marcel F. Hinss (14675457)

    منشور في 2024
    الموضوعات:
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    Obstacle uniform linear motion scenarios. حسب Long Di (9977453)

    منشور في 2025
    "…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …"
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    STL Linear Combination Forecast Graph. حسب Xiangjuan Liu (618000)

    منشور في 2025
    "…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …"
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