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Showing 161 - 180 results of 5,168 for search '(( significant ((largest decrease) OR (larger decrease)) ) OR ( significant vector regression ))', query time: 1.02s Refine Results
  1. 161
    S2 Dataset -

    S2 Dataset - by Petr Fulin (8380320)

    Published 2022
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  2. 162
    Image 1_Sensitivity of transpiration to influencing factors at varying drought levels in Schima superba.jpeg

    Image 1_Sensitivity of transpiration to influencing factors at varying drought levels in Schima superba.jpeg by Xiaowei Zhao (127368)

    Published 2025
    “…The relationships between daily transpiration (T<sub>t</sub>) and the influencing factors were modeled using the Support vector regression (SVR) method. Shapley additive explanations (SHAP) values were employed to characterize the sensitivity and contributions of four environmental variables to T<sub>t</sub>.…”
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  3. 163
    Image 4_Sensitivity of transpiration to influencing factors at varying drought levels in Schima superba.jpeg

    Image 4_Sensitivity of transpiration to influencing factors at varying drought levels in Schima superba.jpeg by Xiaowei Zhao (127368)

    Published 2025
    “…The relationships between daily transpiration (T<sub>t</sub>) and the influencing factors were modeled using the Support vector regression (SVR) method. Shapley additive explanations (SHAP) values were employed to characterize the sensitivity and contributions of four environmental variables to T<sub>t</sub>.…”
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  4. 164
    Image 3_Sensitivity of transpiration to influencing factors at varying drought levels in Schima superba.jpeg

    Image 3_Sensitivity of transpiration to influencing factors at varying drought levels in Schima superba.jpeg by Xiaowei Zhao (127368)

    Published 2025
    “…The relationships between daily transpiration (T<sub>t</sub>) and the influencing factors were modeled using the Support vector regression (SVR) method. Shapley additive explanations (SHAP) values were employed to characterize the sensitivity and contributions of four environmental variables to T<sub>t</sub>.…”
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  5. 165
    Image 2_Sensitivity of transpiration to influencing factors at varying drought levels in Schima superba.jpeg

    Image 2_Sensitivity of transpiration to influencing factors at varying drought levels in Schima superba.jpeg by Xiaowei Zhao (127368)

    Published 2025
    “…The relationships between daily transpiration (T<sub>t</sub>) and the influencing factors were modeled using the Support vector regression (SVR) method. Shapley additive explanations (SHAP) values were employed to characterize the sensitivity and contributions of four environmental variables to T<sub>t</sub>.…”
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  6. 166
    Image 6_Sensitivity of transpiration to influencing factors at varying drought levels in Schima superba.jpeg

    Image 6_Sensitivity of transpiration to influencing factors at varying drought levels in Schima superba.jpeg by Xiaowei Zhao (127368)

    Published 2025
    “…The relationships between daily transpiration (T<sub>t</sub>) and the influencing factors were modeled using the Support vector regression (SVR) method. Shapley additive explanations (SHAP) values were employed to characterize the sensitivity and contributions of four environmental variables to T<sub>t</sub>.…”
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  7. 167
    Image 5_Sensitivity of transpiration to influencing factors at varying drought levels in Schima superba.jpeg

    Image 5_Sensitivity of transpiration to influencing factors at varying drought levels in Schima superba.jpeg by Xiaowei Zhao (127368)

    Published 2025
    “…The relationships between daily transpiration (T<sub>t</sub>) and the influencing factors were modeled using the Support vector regression (SVR) method. Shapley additive explanations (SHAP) values were employed to characterize the sensitivity and contributions of four environmental variables to T<sub>t</sub>.…”
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  8. 168
    Hospital admission rate for chronic non-communicable diseases (NCDs) in Brazil according to the type of NCD.

    Hospital admission rate for chronic non-communicable diseases (NCDs) in Brazil according to the type of NCD. by Rafael Alves Guimarães (4526788)

    Published 2022
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  9. 169
    Hospital admissions for chronic non-communicable diseases (NCDs) in Brazil before and after the onset of the coronavirus disease pandemic according to the type of NCD and age group.

    Hospital admissions for chronic non-communicable diseases (NCDs) in Brazil before and after the onset of the coronavirus disease pandemic according to the type of NCD and age group... by Rafael Alves Guimarães (4526788)

    Published 2022
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  10. 170
    Poisson multiple regression models of the impact of the coronavirus disease pandemic on the hospitalization rate for diabetes mellitus in Brazil according to subgroups by age group, sex, and region of Brazil.

    Poisson multiple regression models of the impact of the coronavirus disease pandemic on the hospitalization rate for diabetes mellitus in Brazil according to subgroups by age group... by Rafael Alves Guimarães (4526788)

    Published 2022
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  11. 171
    Hospital admissions for chronic non-communicable diseases (NCDs) in Brazil before and after the onset of the coronavirus disease pandemic according to the type of NCD and region of Brazil.

    Hospital admissions for chronic non-communicable diseases (NCDs) in Brazil before and after the onset of the coronavirus disease pandemic according to the type of NCD and region of... by Rafael Alves Guimarães (4526788)

    Published 2022
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  12. 172
    Hospital admissions for chronic non-communicable diseases (NCDs) in Brazil before and after the onset of the coronavirus disease pandemic according to the type of NCD.

    Hospital admissions for chronic non-communicable diseases (NCDs) in Brazil before and after the onset of the coronavirus disease pandemic according to the type of NCD. by Rafael Alves Guimarães (4526788)

    Published 2022
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  13. 173
    Poisson multiple regression models of the impact of the coronavirus disease pandemic on the hospitalization rate for cardiovascular disease in Brazil according to subgroups by age group, sex, and region of Brazil.

    Poisson multiple regression models of the impact of the coronavirus disease pandemic on the hospitalization rate for cardiovascular disease in Brazil according to subgroups by age... by Rafael Alves Guimarães (4526788)

    Published 2022
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  14. 174
    Hospital admissions for chronic non-communicable diseases (NCDs) in Brazil before and after the onset of the coronavirus disease pandemic according to the type of NCD and sex.

    Hospital admissions for chronic non-communicable diseases (NCDs) in Brazil before and after the onset of the coronavirus disease pandemic according to the type of NCD and sex. by Rafael Alves Guimarães (4526788)

    Published 2022
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  15. 175
    Fig 4 -

    Fig 4 - by Rafael Alves Guimarães (4526788)

    Published 2022
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  16. 176
    Poisson multiple regression models of the impact of the coronavirus disease pandemic on hospital admissions for chronic non-communicable diseases (NCDs) in Brazil according to the type of NCDs.

    Poisson multiple regression models of the impact of the coronavirus disease pandemic on hospital admissions for chronic non-communicable diseases (NCDs) in Brazil according to the... by Rafael Alves Guimarães (4526788)

    Published 2022
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  17. 177
    Poisson multiple regression models of the impact of the coronavirus disease pandemic on the hospitalization rate for cancer in Brazil according to subgroups by age group, sex, and region of Brazil.

    Poisson multiple regression models of the impact of the coronavirus disease pandemic on the hospitalization rate for cancer in Brazil according to subgroups by age group, sex, and... by Rafael Alves Guimarães (4526788)

    Published 2022
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  18. 178
    Fig 3 -

    Fig 3 - by Rafael Alves Guimarães (4526788)

    Published 2022
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  19. 179
    Fig 2 -

    Fig 2 - by Rafael Alves Guimarães (4526788)

    Published 2022
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  20. 180
    Poisson multiple regression models of the impact of the coronavirus disease pandemic on the hospitalization rate for chronic respiratory diseases in Brazil according to subgroups by age group, sex, and region of Brazil.

    Poisson multiple regression models of the impact of the coronavirus disease pandemic on the hospitalization rate for chronic respiratory diseases in Brazil according to subgroups b... by Rafael Alves Guimarães (4526788)

    Published 2022
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