Showing 2,361 - 2,380 results of 18,449 for search 'significant ((((((a decrease) OR (greater decrease))) OR (nn decrease))) OR (mean decrease))', query time: 0.57s Refine Results
  1. 2361

    Algorithm flow of the GA-BPNN model. by Xiying Wang (4859998)

    Published 2025
    “…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”
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    Water level changes in the foresight scenarios. by Zihao Duan (17403792)

    Published 2025
    “…Compared to 1930, the water level decreased by 2.6 m by 2023, with 1935 marking the onset of a significant downward trend. …”
  6. 2366

    Water level changes in the Caspian Sea. by Zihao Duan (17403792)

    Published 2025
    “…Compared to 1930, the water level decreased by 2.6 m by 2023, with 1935 marking the onset of a significant downward trend. …”
  7. 2367

    Methods used to extract shoreline changes. by Zihao Duan (17403792)

    Published 2025
    “…Compared to 1930, the water level decreased by 2.6 m by 2023, with 1935 marking the onset of a significant downward trend. …”
  8. 2368

    Morlet wavelet power spectrum of the sea level. by Zihao Duan (17403792)

    Published 2025
    “…Compared to 1930, the water level decreased by 2.6 m by 2023, with 1935 marking the onset of a significant downward trend. …”
  9. 2369

    Coastal area changes during the period 1985–2023. by Zihao Duan (17403792)

    Published 2025
    “…Compared to 1930, the water level decreased by 2.6 m by 2023, with 1935 marking the onset of a significant downward trend. …”
  10. 2370

    Detailed information of the observation datasets. by Weidong Ji (129916)

    Published 2025
    “…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”
  11. 2371

    General technical specification for GW154/6700. by Weidong Ji (129916)

    Published 2025
    “…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”
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