Showing 1 - 20 results of 32 for search 'multiple flow ((selection algorithm) OR (detection algorithm))', query time: 0.24s Refine Results
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    Bootstrap-based inference for multiple mean-variance changepoint models by Yang Li (7082)

    Published 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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    Workflow of the flow cytometry experiment and the software-based analysis. by Verena Fischer (3857632)

    Published 2025
    “…In the present study, we determined the populations CD11b+Ly6G+F4/80- granulocytes, CD11b+Ly6G-F4/80+ macrophages, CD11b+Ly6G+F4/80+ MDSCs, CD19+ B-cells, CD3+ T-cells, CD3+CD8+ cytotoxic T-cells, CD3+CD4+ Thelper-cells as of interest for us. (6) The program calculates multiple subclusters based on AI/machine learning-algorithms. …”
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    Table 1_Prognostic value of multi-PLD ASL radiomics in acute ischemic stroke.docx by Zhenyu Wang (580934)

    Published 2025
    “…Features were selected using least absolute shrinkage and selection operator regression, and three models were developed: a clinical model, a CBF radiomics model, and a combined model, employing eight ML algorithms. …”
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    Data Sheet 1_A machine-learning approach for pancreatic neoplasia classification based on plasma extracellular vesicles.pdf by Ioanna Angelioudaki (21177620)

    Published 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. …”