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Showing 1 - 20 results of 2,925 for search '(( i ((larger decrease) OR (marked decrease)) ) OR ( k ((means decrease) OR (mean decrease)) ))', query time: 0.58s Refine Results
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    K-means++ clustering algorithm. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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    K-means results. by Fei Zhang (85787)

    Published 2025
    “…<div><p>This study aims to investigate the dynamics of basketball game pace and its influence on game outcomes through a novel intra-game segmentation approach. By employing K-means clustering on possession duration, we categorized possessions from 1,141 NBA games in the 2019–2020 season into high-frequency (HFS), low-frequency (LFS), and normal-frequency segments (NFS). …”
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    Changes in the active H3K27ac and repressive H3K27me3 histone marks among Vasa2+/Piwi1+ and all cells in fed, starved, and refed juvenile polyps. by Eudald Pascual-Carreras (12115380)

    Published 2025
    “…Between fed, T<sub>5ds</sub> and T<sub>20ds</sub> timepoints, MFI levels of H3K27ac progressively and significantly decreased while levels H3K27me3 (M) did not change significantly (N). …”
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    Effects of GJE extract treatment decreased expression of NF-kB p65. by Natnicha Suttawong (22367172)

    Published 2025
    “…Brown color represents NF-kB p65 positive staining. The percentage of positive staining for NF-kB p65 (E). …”
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    Mean parameter values for the selected crops. by Gourab Saha (8987405)

    Published 2025
    “…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”
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