يعرض 161 - 180 نتائج من 444 نتيجة بحث عن '(( primary data a optimization algorithm ) OR ( binary release process optimization algorithm ))', وقت الاستعلام: 0.54s تنقيح النتائج
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    Table_1_Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm.pdf حسب Jenish Maharjan (11998331)

    منشور في 2022
    "…Patient data were extracted from electronic health records and used to train and test a gradient boosted machine learning algorithm (MLA) to predict the patients' risk of experiencing ischemic stroke from the period of 1 day up to 1 year following the patient encounter. …"
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    Image_1_Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm.pdf حسب Jenish Maharjan (11998331)

    منشور في 2022
    "…Patient data were extracted from electronic health records and used to train and test a gradient boosted machine learning algorithm (MLA) to predict the patients' risk of experiencing ischemic stroke from the period of 1 day up to 1 year following the patient encounter. …"
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    Supporting data for “The role of forest composition heterogeneity on temperate ecosystem carbon dynamic under climate change" حسب Ziyu Lin (9151064)

    منشور في 2025
    "…<p dir="ltr">This dataset comprises four primary folders to support the research corresponding to the following chapters:</p><ul><li>Chapter 2 Reconstruction of 16-day, 30m, seamless satellite image time-series since 1995 through multi-sensor harmonization, fusion and gap-filling</li></ul><p dir="ltr">In this chapter, I developed a workflow that combines two advanced algorithms to produce a comprehensive data cube on Google Earth Engine (GEE). …"
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    DEM error verified by airborne data. حسب Qinghua Li (398885)

    منشور في 2024
    "…To prevent issues such as overfitting or underfitting during model training, although common meta-heuristic optimisation algorithms can alleviate these problems to a certain extent, they still have some shortcomings. …"
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    Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics حسب Zhichao Liu (191718)

    منشور في 2019
    "…To bridge this gap, we here developed “Trace”, a software framework that incorporates machine learning (ML) to automate feature selection and optimization for the extraction of trace-level signals from HRMS data. …"
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    Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics حسب Zhichao Liu (191718)

    منشور في 2019
    "…To bridge this gap, we here developed “Trace”, a software framework that incorporates machine learning (ML) to automate feature selection and optimization for the extraction of trace-level signals from HRMS data. …"