يعرض 2,661 - 2,680 نتائج من 18,439 نتيجة بحث عن 'significantly ((((((less decrease) OR (largest decrease))) OR (mean decrease))) OR (a decrease))', وقت الاستعلام: 0.71s تنقيح النتائج
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    A Comparison of Pediatric Prehospital Opioid Encounters and Social Vulnerability حسب Stephen Sandelich (19991783)

    منشور في 2024
    "…The analysis demonstrated that as socioeconomic status (SES) improves, the likelihood of opioid-related activations increases significantly supported by a significant negative linear trend (Estimate = −0.2971, SE = 0.1172, z = −2.54, <i>p</i> = 0.0112. …"
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  17. 2677

    Structure diagram of ensemble model. حسب Hongqi Wang (2208238)

    منشور في 2024
    "…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …"
  18. 2678

    Fitting formula parameter table. حسب Hongqi Wang (2208238)

    منشور في 2024
    "…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …"
  19. 2679

    Test plan. حسب Hongqi Wang (2208238)

    منشور في 2024
    "…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …"
  20. 2680

    Fitting surface parameters. حسب Hongqi Wang (2208238)

    منشور في 2024
    "…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …"