بدائل البحث:
process optimization » model optimization (توسيع البحث)
release process » disease process (توسيع البحث), response process (توسيع البحث)
a optimization » ai optimization (توسيع البحث), _ optimization (توسيع البحث), b optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
data a » data _ (توسيع البحث), data 1 (توسيع البحث), data b (توسيع البحث)
process optimization » model optimization (توسيع البحث)
release process » disease process (توسيع البحث), response process (توسيع البحث)
a optimization » ai optimization (توسيع البحث), _ optimization (توسيع البحث), b optimization (توسيع البحث)
primary data » primary care (توسيع البحث)
data a » data _ (توسيع البحث), data 1 (توسيع البحث), data b (توسيع البحث)
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Table_1_Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm.pdf
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
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"
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.
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
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
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. …"