Search alternatives:
significant trend » significant threat (Expand Search), significant threats (Expand Search), significant burden (Expand Search)
trend decrease » teer decrease (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
Showing 281 - 300 results of 3,315 for search '(( significant trend decrease ) OR ( significant ((nn decrease) OR (step decrease)) ))', query time: 0.50s Refine Results
  1. 281
    Accuracy of the random forest regression model with various input variables (all inputs vs. top 30 inputs).

    Accuracy of the random forest regression model with various input variables (all inputs vs. top 30 inputs). by Varun Tiwari (9258130)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  2. 282
    Mean uncertainty of <i>boro</i> rice yields estimated by random forest model from 2002–2021.

    Mean uncertainty of <i>boro</i> rice yields estimated by random forest model from 2002–2021. by Varun Tiwari (9258130)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  3. 283
    Random forest top 30 variable importance utilizing all input variables, including the MODIS bands, spectral indices, and land surface temperature.

    Random forest top 30 variable importance utilizing all input variables, including the MODIS bands, spectral indices, and land surface temperature. by Varun Tiwari (9258130)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  4. 284
    Fig 1 -

    Fig 1 - by Varun Tiwari (9258130)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  5. 285
    Fig 2 -

    Fig 2 - by Varun Tiwari (9258130)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  6. 286
    Indices calculated using MODIS bands (B1-B7) which were used to estimate <i>boro</i> rice yields, where MODIS bands relate to indices as follows: B1 = RED, B2 = NIR1, B3 = BLUE, B4 = GREEN, B5 = SWIR1, B6 = SWIR2.

    Indices calculated using MODIS bands (B1-B7) which were used to estimate <i>boro</i> rice yields, where MODIS bands relate to indices as follows: B1 = RED, B2 = NIR1, B3 = BLUE, B4... by Varun Tiwari (9258130)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  7. 287
    Fig 7 -

    Fig 7 - by Varun Tiwari (9258130)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  8. 288
    A flow chart of the methodology applied to estimate <i>boro</i> rice yield in Bangladesh.

    A flow chart of the methodology applied to estimate <i>boro</i> rice yield in Bangladesh. by Varun Tiwari (9258130)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  9. 289
    Fig 5 -

    Fig 5 - by Varun Tiwari (9258130)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  10. 290
    The trends in numbers of DALYs and deaths for <i><i>Klebsiella pneumoniae</i></i> associated LRI burden from 1990 to 2021. DALYs, disability-adjusted life years.

    The trends in numbers of DALYs and deaths for <i><i>Klebsiella pneumoniae</i></i> associated LRI burden from 1990 to 2021. DALYs, disability-adjusted life years. by Juanjuan Li (399633)

    Published 2025
    Save to List
    Saved in:
  11. 291
    Utilization of anticoagulants at eight hospitals from 2019 to 2023.

    Utilization of anticoagulants at eight hospitals from 2019 to 2023. by Wei Luo (80175)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  12. 292
    Inpatient utilization of anticoagulants from 2019 to 2023.

    Inpatient utilization of anticoagulants from 2019 to 2023. by Wei Luo (80175)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  13. 293
    Indications for warfarin prescription in outpatients and inpatients in 2023.

    Indications for warfarin prescription in outpatients and inpatients in 2023. by Wei Luo (80175)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  14. 294
    Outpatient utilization of anticoagulants from 2019 to 2023.

    Outpatient utilization of anticoagulants from 2019 to 2023. by Wei Luo (80175)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  15. 295
    DDC for four anticoagulants from 2019 to 2023.

    DDC for four anticoagulants from 2019 to 2023. by Wei Luo (80175)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  16. 296
    Utilization of anticoagulants from 2019 to 2023.

    Utilization of anticoagulants from 2019 to 2023. by Wei Luo (80175)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  17. 297
    The expenditure on anticoagulants in the period of 2019-2023(million CNY).

    The expenditure on anticoagulants in the period of 2019-2023(million CNY). by Wei Luo (80175)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  18. 298
    Predictions of Age-Standardized Rate of burden caused by fire, heat and hot substances for different sexes in 2030 based on the Bayesian Age-Period-Cohort model.

    Predictions of Age-Standardized Rate of burden caused by fire, heat and hot substances for different sexes in 2030 based on the Bayesian Age-Period-Cohort model. by Shi Huang (125861)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  19. 299
    Frontier Analysis: Countries with high potential for improvement in the burden of injuries caused by fire, heat, and hot substances in 2021.

    Frontier Analysis: Countries with high potential for improvement in the burden of injuries caused by fire, heat, and hot substances in 2021. by Shi Huang (125861)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  20. 300
    The burden forecast of injuries caused by fire, heat, and hot substances for 2021–2030.

    The burden forecast of injuries caused by fire, heat, and hot substances for 2021–2030. by Shi Huang (125861)

    Published 2025
    Subjects:
    Save to List
    Saved in:

Search Tools: