Showing 61 - 80 results of 680 for search '(( algorithm within function ) OR ( algorithm api function ))', query time: 0.17s Refine Results
  1. 61

    Image 1_Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and regre... by Jun Gao (203098)

    Published 2025
    “…Objective<p>Investigate the correlation between right ventricular function ultrasound indicators and the Venous Excess Ultrasound (VExUS) grading system in patients undergoing invasive mechanical ventilation (IMV), and develop a right ventricular function assessment model using VExUS grading and the Classification and Regression Tree (CART) algorithm.…”
  2. 62

    Image 3_Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and regre... by Jun Gao (203098)

    Published 2025
    “…Objective<p>Investigate the correlation between right ventricular function ultrasound indicators and the Venous Excess Ultrasound (VExUS) grading system in patients undergoing invasive mechanical ventilation (IMV), and develop a right ventricular function assessment model using VExUS grading and the Classification and Regression Tree (CART) algorithm.…”
  3. 63

    Image 2_Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and regre... by Jun Gao (203098)

    Published 2025
    “…Objective<p>Investigate the correlation between right ventricular function ultrasound indicators and the Venous Excess Ultrasound (VExUS) grading system in patients undergoing invasive mechanical ventilation (IMV), and develop a right ventricular function assessment model using VExUS grading and the Classification and Regression Tree (CART) algorithm.…”
  4. 64

    Perturbations and their effects within networks. by Matthew Aguirre (9558032)

    Published 2025
    “…<b>(D)</b> KO effects as a function of network distance between two genes, and <b>(E)</b> within and across modules given by the generating algorithm. …”
  5. 65

    Test results of multimodal benchmark functions. by Ruiyu Zhan (21602031)

    Published 2025
    “…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …”
  6. 66

    Fixed-dimensional multimodal reference functions. by Ruiyu Zhan (21602031)

    Published 2025
    “…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …”
  7. 67

    Test results of multimodal benchmark functions. by Ruiyu Zhan (21602031)

    Published 2025
    “…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …”
  8. 68

    <b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

    Published 2025
    “…For proper execution, this folder must be placed within the <b>KrakenOS</b> directory, at the same level as the <b>Examples</b> folder.…”
  9. 69

    R-squared comparison of test function. by Kejia Liu (5699651)

    Published 2025
    “…<div><p>The fast developments in artificial intelligence together with evolutionary algorithms have not solved all the difficulties that Gene Expression Programming (GEP) encounters when maintaining population diversity and preventing premature convergence. …”
  10. 70

    Smart contract and platform functions mapping. by Albatoul Almohana (20370514)

    Published 2024
    “…Most existing works utilized blockchain technology within a specific healthcare entity’s services but not among several healthcare organizations. …”
  11. 71

    The value functions for different set-up costs. by Liying Wang (288626)

    Published 2025
    “…These expressions are determined using the copula function, and an algorithm is designed to construct the corresponding transition probability matrix. …”
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  14. 74

    Core genes were selected through PPI analysis based on three algorithms. by Dong-Hee Han (140305)

    Published 2024
    “…<p>Among 46 DEGs whose expression significantly changed in A549 and BEAS-2B cell lines, the core genes were selected using three algorithms: MCC, MNC, and DEGREE. <b>(A)</b> The top 10 genes were prioritized using MCC analysis, which identifies the largest clique within the PPI network and selects the central proteins within the clique. …”
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