يعرض 1 - 20 نتائج من 10,597 نتيجة بحث عن '(( data using algorithm ) OR ((( developing each algorithm ) OR ( relevant based algorithm ))))', وقت الاستعلام: 0.43s تنقيح النتائج
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    UIQI of the results of each algorithm. حسب Haiyan Zhang (176919)

    منشور في 2025
    الموضوعات:
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    PSNR of the results of each algorithm. حسب Haiyan Zhang (176919)

    منشور في 2025
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    Running time of each algorithm. حسب Haiyan Zhang (176919)

    منشور في 2025
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    Data Sheet 1_Developing decision support algorithm for hypertension medications for use in a digital therapeutic system.pdf حسب Jeannie K. Lee (9026981)

    منشور في 2025
    "…The decision support algorithm was developed through a literature review of clinical and pharmacokinetic studies and knowledge of the pharmacology of aging (pharmacokinetics and pharmacodynamics). …"
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    Data Sheet 2_Developing decision support algorithm for hypertension medications for use in a digital therapeutic system.pdf حسب Jeannie K. Lee (9026981)

    منشور في 2025
    "…The decision support algorithm was developed through a literature review of clinical and pharmacokinetic studies and knowledge of the pharmacology of aging (pharmacokinetics and pharmacodynamics). …"
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    Algorithm parameter setting. حسب Haiyan Zhang (176919)

    منشور في 2025
    الموضوعات:
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    Definitions of relevant SSA parameters. حسب Yeping Shi (14279118)

    منشور في 2024
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    Pseudocode for the missForestPredict algorithm. حسب Elena Albu (15181070)

    منشور في 2025
    "…Missing data in input variables often occur at model development and at prediction time. …"
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    Data Sheet 1_Closing the loop: establishing an autonomous test-learn cycle to optimize induction of bacterial systems using a robotic platform.pdf حسب Jan Benedict Spannenkrebs (20595722)

    منشور في 2025
    "…Robotic platforms can be used to automate this task and provide sufficiently large and reproducible data sets including provenance. …"
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    Structure of the Kuhn-Munkres Algorithm. حسب Qingnan Ji (22662198)

    منشور في 2025
    "…The algorithm dynamically adjusts weight coefficients based on the importance scores of each modality, while also incorporating a cross-modal correlation matrix as a constraint to improve the robustness of the matching process. …"