يعرض 1,581 - 1,600 نتائج من 7,231 نتيجة بحث عن '(( significant decrease decrease ) OR ( significantly reduce decrease ))~', وقت الاستعلام: 0.30s تنقيح النتائج
  1. 1581

    Accumulated contribution rate of PCA. حسب Xiangjuan Liu (618000)

    منشور في 2025
    "…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …"
  2. 1582

    Regression estimates: Double threshold model. حسب Getachew Magnar Kitila (19935139)

    منشور في 2024
    "…The empirical findings show that greater trade openness is associated with significantly higher CO2 emission, additionally; it demonstrates that the influence is heterogeneous across different CO2 emission quantiles in African countries. …"
  3. 1583

    Figure of ablation experiment. حسب Xiangjuan Liu (618000)

    منشور في 2025
    "…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …"
  4. 1584

    Results from cross sectional dependence test. حسب Getachew Magnar Kitila (19935139)

    منشور في 2024
    "…The empirical findings show that greater trade openness is associated with significantly higher CO2 emission, additionally; it demonstrates that the influence is heterogeneous across different CO2 emission quantiles in African countries. …"
  5. 1585

    Flowchart of the STL-PCA-BWO-BiLSTM model. حسب Xiangjuan Liu (618000)

    منشور في 2025
    "…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …"
  6. 1586

    Parameter optimization results of BiLSTM. حسب Xiangjuan Liu (618000)

    منشور في 2025
    "…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …"
  7. 1587

    Descriptive statistical analysis of data. حسب Xiangjuan Liu (618000)

    منشور في 2025
    "…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …"
  8. 1588

    The MAE value of the model under raw data. حسب Xiangjuan Liu (618000)

    منشور في 2025
    "…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …"
  9. 1589

    Three error values under raw data. حسب Xiangjuan Liu (618000)

    منشور في 2025
    "…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …"
  10. 1590

    Panel quantile regression results. حسب Getachew Magnar Kitila (19935139)

    منشور في 2024
    "…The empirical findings show that greater trade openness is associated with significantly higher CO2 emission, additionally; it demonstrates that the influence is heterogeneous across different CO2 emission quantiles in African countries. …"
  11. 1591

    Decomposition of time scries plot. حسب Xiangjuan Liu (618000)

    منشور في 2025
    "…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …"
  12. 1592

    Vertebral cancellous tissueμCT parameters are not significantly affected by aging from 16 to 21 weeks, housing type, or microgravity. حسب Rukmani Cahill (20939813)

    منشور في 2025
    "…Nonsignificant trends implicate an effect of spaceflight reducing BV/TV, increasing DA, and reducing Tb.N. Data shown are the mean ±  standard deviation with a scatter plot (ns: non-significant). …"
  13. 1593

    Characteristics of the included studies. حسب Xin Liu (43569)

    منشور في 2025
    "…Subgroup analysis revealed that high-dose TXA significantly reduced intraoperative blood loss and transfusion rates in RCSs, whereas no significant differences were observed in RCTs. …"
  14. 1594

    Summary of results. حسب Xin Liu (43569)

    منشور في 2025
    "…Subgroup analysis revealed that high-dose TXA significantly reduced intraoperative blood loss and transfusion rates in RCSs, whereas no significant differences were observed in RCTs. …"
  15. 1595

    Bias risk assessments for each RCT study. حسب Xin Liu (43569)

    منشور في 2025
    "…Subgroup analysis revealed that high-dose TXA significantly reduced intraoperative blood loss and transfusion rates in RCSs, whereas no significant differences were observed in RCTs. …"
  16. 1596

    The flow chart of studies selecting. حسب Xin Liu (43569)

    منشور في 2025
    "…Subgroup analysis revealed that high-dose TXA significantly reduced intraoperative blood loss and transfusion rates in RCSs, whereas no significant differences were observed in RCTs. …"
  17. 1597

    Funnel plots for intraoperative blood loss. حسب Xin Liu (43569)

    منشور في 2025
    "…Subgroup analysis revealed that high-dose TXA significantly reduced intraoperative blood loss and transfusion rates in RCSs, whereas no significant differences were observed in RCTs. …"
  18. 1598

    Bias risk assessments for each RCS study. حسب Xin Liu (43569)

    منشور في 2025
    "…Subgroup analysis revealed that high-dose TXA significantly reduced intraoperative blood loss and transfusion rates in RCSs, whereas no significant differences were observed in RCTs. …"
  19. 1599
  20. 1600