يعرض 1 - 20 نتائج من 20 نتيجة بحث عن 'Multiple flow detection algorithm', وقت الاستعلام: 0.17s تنقيح النتائج
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    Bootstrap-based inference for multiple mean-variance changepoint models حسب Yang Li (7082)

    منشور في 2024
    "…<p>Identifying multiple change points in the mean and/or variance is crucial across various fields, including finance and quality control. …"
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    Data Sheet 1_A machine-learning approach for pancreatic neoplasia classification based on plasma extracellular vesicles.pdf حسب Ioanna Angelioudaki (21177620)

    منشور في 2025
    "…</p>Methods<p>All available plasma samples (N=126) and variables were collected prior to surgery. EVs were detected and characterized by flow cytometry-immunostaining. …"
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    Image 3_High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats.png حسب Erin McDonald (3535409)

    منشور في 2025
    "…Our analysis uses machine learning and statistical algorithms to perform unsupervised clustering, multiple visualizations, and statistical analysis of high parameter flow cytometry data. …"
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    Image 4_High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats.png حسب Erin McDonald (3535409)

    منشور في 2025
    "…Our analysis uses machine learning and statistical algorithms to perform unsupervised clustering, multiple visualizations, and statistical analysis of high parameter flow cytometry data. …"
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    Image 1_High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats.png حسب Erin McDonald (3535409)

    منشور في 2025
    "…Our analysis uses machine learning and statistical algorithms to perform unsupervised clustering, multiple visualizations, and statistical analysis of high parameter flow cytometry data. …"
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    Image 5_High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats.png حسب Erin McDonald (3535409)

    منشور في 2025
    "…Our analysis uses machine learning and statistical algorithms to perform unsupervised clustering, multiple visualizations, and statistical analysis of high parameter flow cytometry data. …"
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    Image 2_High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats.png حسب Erin McDonald (3535409)

    منشور في 2025
    "…Our analysis uses machine learning and statistical algorithms to perform unsupervised clustering, multiple visualizations, and statistical analysis of high parameter flow cytometry data. …"
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    Table 1_High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats.docx حسب Erin McDonald (3535409)

    منشور في 2025
    "…Our analysis uses machine learning and statistical algorithms to perform unsupervised clustering, multiple visualizations, and statistical analysis of high parameter flow cytometry data. …"
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    Example video of a HRC ZDM laboratory test for the research project Zero0P حسب Helmut Zörrer (13189545)

    منشور في 2025
    "…Task assignment leverages a shortest-path algorithm (SPA) to mediate tasks to the operator and maintain efficient flow.…"
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    Data Sheet 1_Inflammatory imbalance and activation deficits in T cells of myasthenia gravis patients revealed by proteomic profiling.pdf حسب Amol K. Bhandage (6083420)

    منشور في 2025
    "…Data analysis was performed using the Boruta algorithm to detect both linear and non-linear patterns, followed by multiple testing corrections, and correlation analyses. …"
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    Data Sheet 1_Resveratrol contributes to NK cell-mediated breast cancer cytotoxicity by upregulating ULBP2 through miR-17-5p downmodulation and activation of MINK1/JNK/c-Jun signali... حسب Bisha Ding (5803799)

    منشور في 2025
    "…</p>Methods<p>The effects of RES on ULBP2 expression were detected with qRT-PCR, western blot, flow cytometry analysis and immunohistochemistry. …"
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    <b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) حسب Erola Fenollosa (20977421)

    منشور في 2025
    "…The described extracted features were used to predict leaf betalain content (µg per FW) using multiple machine learning regression algorithms (Linear regression, Ridge regression, Gradient boosting, Decision tree, Random forest and Support vector machine) using the <i>Scikit-learn</i> 1.2.1 library in Python (v.3.10.1) (list of hyperparameters used is given in <a href="#sup1" target="_blank">Supplementary Data S5</a>). …"