Showing 5,661 - 5,680 results of 18,308 for search 'significant ((((((step decrease) OR (a decrease))) OR (nn decrease))) OR (mean decrease))', query time: 0.49s Refine Results
  1. 5661

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

    Published 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. 5662

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

    Published 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. …”
  3. 5663

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

    Published 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. 5664

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

    Published 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. …”
  5. 5665

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

    Published 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. 5666

    Data_Sheet_2_Urolithin A alleviates cell senescence by inhibiting ferroptosis and enhances corneal epithelial wound healing.docx by Xiao-Xiao Guo (6092141)

    Published 2024
    “…The results of RNA-seq of HS-induced corneal epithelial cells showed that the ferroptosis pathway was significantly dysregulated. Further investigation revealed that UA decreased the level of oxidative stress in HCE-T cells, including the levels of LPO and MDA (p < 0.05). …”
  7. 5667

    Data_Sheet_1_Urolithin A alleviates cell senescence by inhibiting ferroptosis and enhances corneal epithelial wound healing.zip by Xiao-Xiao Guo (6092141)

    Published 2024
    “…The results of RNA-seq of HS-induced corneal epithelial cells showed that the ferroptosis pathway was significantly dysregulated. Further investigation revealed that UA decreased the level of oxidative stress in HCE-T cells, including the levels of LPO and MDA (p < 0.05). …”
  8. 5668

    Estimated results of the mediation effect. by Getachew Magnar Kitila (19935139)

    Published 2024
    “…Besides the result from the double threshold model reveals a complex, nonlinear relationship between trade openness and CO2 emissions in Africa. …”
  9. 5669

    Panel unit root test result. by Getachew Magnar Kitila (19935139)

    Published 2024
    “…Besides the result from the double threshold model reveals a complex, nonlinear relationship between trade openness and CO2 emissions in Africa. …”
  10. 5670

    Kernel density estimation for CO2. by Getachew Magnar Kitila (19935139)

    Published 2024
    “…Besides the result from the double threshold model reveals a complex, nonlinear relationship between trade openness and CO2 emissions in Africa. …”
  11. 5671

    Change in panel quantile regression coefficients. by Getachew Magnar Kitila (19935139)

    Published 2024
    “…Besides the result from the double threshold model reveals a complex, nonlinear relationship between trade openness and CO2 emissions in Africa. …”
  12. 5672

    Definitions of variables and measurements. by Getachew Magnar Kitila (19935139)

    Published 2024
    “…Besides the result from the double threshold model reveals a complex, nonlinear relationship between trade openness and CO2 emissions in Africa. …”
  13. 5673

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

    Published 2024
    “…Besides the result from the double threshold model reveals a complex, nonlinear relationship between trade openness and CO2 emissions in Africa. …”
  14. 5674

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

    Published 2024
    “…Besides the result from the double threshold model reveals a complex, nonlinear relationship between trade openness and CO2 emissions in Africa. …”
  15. 5675

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

    Published 2024
    “…Besides the result from the double threshold model reveals a complex, nonlinear relationship between trade openness and CO2 emissions in Africa. …”
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  20. 5680

    S1 File - by Michael Gulledge (20577135)

    Published 2025
    “…During withdrawal, there was a profound loss (peaking on days 2–3) and gradual return of diurnal structure in sleep, body temperature, and locomotor activity, as well as decreased sleep and wake bout durations dependent on lights on/off. …”