يعرض 2,321 - 2,340 نتائج من 18,267 نتيجة بحث عن 'significantly ((((((teer decrease) OR (mean decrease))) OR (nn decrease))) OR (a decrease))', وقت الاستعلام: 0.84s 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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    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. 2338

    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. …"
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    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. 2340

    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. …"