Showing 121 - 140 results of 10,870 for search '(( data using algorithm ) OR ((( developing processing algorithm ) OR ( element data algorithm ))))', query time: 0.51s Refine Results
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    List of features used in the XGBoost Model. by Jamison H. Burks (21029607)

    Published 2025
    “…Algorithms processing these continuous data have also been developed that can predict glycemic excursion in the near future. …”
  6. 126

    The mAP for all algorithms and 80% of the data used for training. by Mohammad Amin Fraiwan (20469541)

    Published 2024
    “…<p>The mAP for all algorithms and 80% of the data used for training.</p>…”
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    The mAP for all algorithms and 50% of the data used for training. by Mohammad Amin Fraiwan (20469541)

    Published 2024
    “…<p>The mAP for all algorithms and 50% of the data used for training.</p>…”
  8. 128

    The mAP for all algorithms and 60% of the data used for training. by Mohammad Amin Fraiwan (20469541)

    Published 2024
    “…<p>The mAP for all algorithms and 60% of the data used for training.</p>…”
  9. 129

    Point cloud data registration using the original ICP algorithm. by Mengyuan Yan (14200322)

    Published 2025
    “…<p>Point cloud data registration using the original ICP algorithm.…”
  10. 130

    Model-Based Clustering of Categorical Data Based on the Hamming Distance by Raffaele Argiento (647076)

    Published 2024
    “…<p>A model-based approach is developed for clustering categorical data with no natural ordering. The proposed method exploits the Hamming distance to define a family of probability mass functions to model the data. …”
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    Supplementary Material for: MedReadr: Development and evaluation of an in-browser, rules-based natural language processing algorithm to estimate the reliability of consumer health articles by figshare admin karger (2628495)

    Published 2025
    “…Existing assessment tools are often labor-intensive, unvalidated, or limited in scope. We developed and validated MedReadr, an in-browser, rules-based natural language processing (NLP) algorithm that automatically estimates the reliability of consumer health articles for patients and providers. …”
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