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modeling algorithm » making algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
first algorithm » forest algorithm (Expand Search), forest algorithms (Expand Search), best algorithm (Expand Search)
data modeling » data modelling (Expand Search), data models (Expand Search)
data first » data fit (Expand Search), data figs (Expand Search)
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DataSheet1_Study on risk factors of impaired fasting glucose and development of a prediction model based on Extreme Gradient Boosting algorithm.docx
Published 2024“…Objective<p>The aim of this study was to develop and validate a machine learning-based model to predict the development of impaired fasting glucose (IFG) in middle-aged and older elderly people over a 5-year period using data from a cohort study.…”
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Complete structure diagram of our proposed 1D-CNN model with historical data and target data.
Published 2024Subjects: -
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External cohort raw data.
Published 2025“…</p><p>However, no predictive models for BSH have been developed using machine learning algorithms.…”
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Internal cohort raw data.
Published 2025“…</p><p>However, no predictive models for BSH have been developed using machine learning algorithms.…”
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Waterfall and Force plots for the first three predictions from the test set.
Published 2024Subjects: -
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Data Sheet 1_Data-driven industrial park microgrids robust optimization method.docx
Published 2025“…Then, the uncertain parameters are better enveloped by scaling the convex hull set. A data-driven robust optimization model for industrial park microgrid was further established, and the column and constraint (C&CG) generation algorithm was used to solve the model. …”
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A schematic plot of a rotor operating at the first critical speed (mode 1).
Published 2025Subjects: “…proposed computational model…”
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