Showing 1 - 20 results of 5,376 for search '(((( cloud ((map decrease) OR (a decrease)) ) OR ( _ mean decrease ))) OR ( via linear decrease ))', query time: 0.44s Refine Results
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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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    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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    CM-DWM-EC chart using 30% decrease in the mean for the E(KeV). by Shumaila Nisar (20114256)

    Published 2024
    “…<p>CM-DWM-EC chart using 30% decrease in the mean for the E(KeV).</p>…”
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    <b>When more isn’t better: Sperm competition decreases fertilization success and motile sperm in two sea urchin species</b> by Luisa Kumpitsch (20874095)

    Published 2025
    “…</p><p dir="ltr">Description of files:</p><p dir="ltr">fertility_data_cleaned.csv: data on <i>Dendraster excentricus</i> fertilization success means for non-competitive- and sperm competition treatment; used for linear mixed-effects models and basic statistics</p><p dir="ltr">fertility_data_cleaned.xlsx : see above </p><p dir="ltr">Fertility_FHL_means.csv: used for plotting and calculate basic statistics </p><p dir="ltr">Fertility_FHL_means.xlsx : see above </p><p dir="ltr">fertility_vigo_cleaned.csv: data on <i>Paracentrotus lividus</i> fertilization success means for non-competitive- and sperm competition treatment; used for linear mixed-effects models and basic statistics , and to filter for 1500 and 7500 sperm/µl which was used for further analysis </p><p dir="ltr">fertility_vigo_cleaned.xlsx: see above </p><p dir="ltr">Fertility_Vigo_means.csv: calculate statistics </p><p dir="ltr">Fertility_Vigo_means.xlsx: see above </p><p dir="ltr">FHL_FandF2.txt: look at differences between post 2h- and 24h fertilization success in <i>D. excentricus </i></p><p dir="ltr">motility_data_cleaned.csv : perm motility data on <i>D. excentricus</i>, used for linear-mixed effects models and basic statistics </p><p dir="ltr">motility_data_cleaned.xlsx: see above </p><p dir="ltr">Motility_Fertility_FHL_Means.csv: motility and fertilization data on <i>D. excentricus</i>, used to check if motility parameters affected fertilization success </p><p dir="ltr">Motility_Fertility_FHL_Means.xlsx: see above </p><p dir="ltr">Motility_Fertility_Vigo_Means.xlsx: : motility and fertilization data on <i>P. lividus</i>, used to check if motility parameters affected fertilization success </p><p dir="ltr">Motility_Fertility_Vigo_Means.csv: see above </p><p dir="ltr">Motility_Urchins.csv: used for plotting motility data in both sea urchin species </p><p dir="ltr">motility_vigo_cleaned.csv: sperm motility data on <i>P. lividus</i> </p><p dir="ltr">Size_Correlation_F.csv: test sizes and fertlilization success of both sea urchin species, to check if test size affects fertilzation success </p><p dir="ltr">Size_Correlation_M.csv: test sizes and fertlilization success of both sea urchin species, to check if test size affects sperm motility</p><p dir="ltr">Size_Correlation_M.xlsx: see above </p><p><br></p><p dir="ltr"><br></p><p><br></p>…”
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    The technical route of the study. 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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    Experimental results in the SubT-MRS dataset. 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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