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Showing 21 - 40 results of 36,195 for search '(( significant ((changes decrease) OR (larger decrease)) ) OR ( significant concerns increases ))', query time: 1.65s Refine Results
  1. 21
    Relation of the changes in Y Sway Amplitude and LFS induced by postural training with those in 95% Area.

    Relation of the changes in Y Sway Amplitude and LFS induced by postural training with those in 95% Area. by Cristina Dolciotti (16317330)

    Published 2025
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  2. 22
    Consolidation of training-induced changes in unipedal stance: 95% Area, Y Sway Amplitude and LFS.

    Consolidation of training-induced changes in unipedal stance: 95% Area, Y Sway Amplitude and LFS. by Cristina Dolciotti (16317330)

    Published 2025
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  3. 23
    Consolidation of training-induced changes in unipedal stance: Path Length, X Sway Amplitude and Velocity.

    Consolidation of training-induced changes in unipedal stance: Path Length, X Sway Amplitude and Velocity. by Cristina Dolciotti (16317330)

    Published 2025
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  4. 24
    Seven forecast scenarios.

    Seven forecast scenarios. by Ryan P. Thombs (9138968)

    Published 2025
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  5. 25
    Forecast for each scenario, 2023-2032.

    Forecast for each scenario, 2023-2032. by Ryan P. Thombs (9138968)

    Published 2025
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  6. 26
    Change in Demoralization Scale (DSII) by Treatment Group.

    Change in Demoralization Scale (DSII) by Treatment Group. by Benjamin R. Lewis (22279166)

    Published 2025
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  7. 27
    Predicted and observed wine sales for individual states.

    Predicted and observed wine sales for individual states. by Yingjie Hu (1579000)

    Published 2021
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  8. 28
    Feature importance of the numeric input variables in the optimized RF models for the estimation of spirits, wine, and beer sales.

    Feature importance of the numeric input variables in the optimized RF models for the estimation of spirits, wine, and beer sales. by Yingjie Hu (1579000)

    Published 2021
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  9. 29
    The architecture of the DNN model for estimating alcohol sales.

    The architecture of the DNN model for estimating alcohol sales. by Yingjie Hu (1579000)

    Published 2021
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  10. 30
    Fig 7 -

    Fig 7 - by Yingjie Hu (1579000)

    Published 2021
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  11. 31
    RMSE values of including and not including grocery store visits for alcohol sales prediction based on the RF model.

    RMSE values of including and not including grocery store visits for alcohol sales prediction based on the RF model. by Yingjie Hu (1579000)

    Published 2021
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  12. 32
    Four categories of input features for the machine learning models.

    Four categories of input features for the machine learning models. by Yingjie Hu (1579000)

    Published 2021
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  13. 33
    VIF values of the variables in three MLR models.

    VIF values of the variables in three MLR models. by Yingjie Hu (1579000)

    Published 2021
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  14. 34
    Fig 15 -

    Fig 15 - by Yingjie Hu (1579000)

    Published 2021
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  15. 35
    Fig 5 -

    Fig 5 - by Yingjie Hu (1579000)

    Published 2021
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  16. 36
    Fig 2 -

    Fig 2 - by Yingjie Hu (1579000)

    Published 2021
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  17. 37
    Wine sales in each of the 13 states.

    Wine sales in each of the 13 states. by Yingjie Hu (1579000)

    Published 2021
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  18. 38
    Visitation behavior to the four types of alcohol outlets in the U.S. during the first months of COVID-19.

    Visitation behavior to the four types of alcohol outlets in the U.S. during the first months of COVID-19. by Yingjie Hu (1579000)

    Published 2021
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  19. 39
    Performances of the three machine learning models based on ten-fold cross-validation and walk-forward validation: Multiple linear regression (MLR), random forest (RF), and a deep neural network (DNN).

    Performances of the three machine learning models based on ten-fold cross-validation and walk-forward validation: Multiple linear regression (MLR), random forest (RF), and a deep n... by Yingjie Hu (1579000)

    Published 2021
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  20. 40
    Predicted and observed beer sales for individual states.

    Predicted and observed beer sales for individual states. by Yingjie Hu (1579000)

    Published 2021
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