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modeling algorithm » making algorithm (Expand Search)
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Showing 1 - 5 results of 5 for search '(((( data using algorithm ) OR ( data modeling algorithm ))) OR ( element mapping algorithm ))~', query time: 0.46s Refine Results
  1. 1
    Precision Recall data.

    Precision Recall data. by Lai Yingdong (22403854)

    Published 2025
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  2. 2
    data and code

    data and code by PENGCHENG LIU (20680641)

    Published 2025
    “…<p dir="ltr"><b>1. project overview</b></p><p dir="ltr"> <b>Project name:</b> Fourier model algorithm for trajectory data.</p><p dir="ltr"> <b>Introduction: </b>this algorithm model is used to fit the trajectory data. …”
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  3. 3
    Yellow River Basin Industrial Base Spatio-temporal Monitoring and Impact Assessment Dataset

    Yellow River Basin Industrial Base Spatio-temporal Monitoring and Impact Assessment Dataset by Libing Wang (21723566)

    Published 2025
    “…</li><li><b>Fine-grained Feature Extraction and Classification Phase:</b> Contains sample data, intermediate processing results (e.g., representative slices of classification probability maps), and corresponding algorithm implementation codes used to illustrate how the "feature decoupling" strategy was applied to identify and classify various key features from high-resolution imagery.…”
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  4. 4
    Oscillatory Field Genesis: The Emergent Architecture of Spacetime, Matter, and Memory

    Oscillatory Field Genesis: The Emergent Architecture of Spacetime, Matter, and Memory by Drippy Stone (21218843)

    Published 2025
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  5. 5
    Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles

    Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles by Soham Savarkar (21811825)

    Published 2025
    “…</p><p dir="ltr">Encoding: Categorical variables such as surface coating and cell type were grouped into logical classes and label-encoded to enable model compatibility.</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…”
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