يعرض 2,121 - 2,140 نتائج من 8,861 نتيجة بحث عن 'significantly ((((we decrease) OR (nn decrease))) OR (((mean decrease) OR (greatest decrease))))', وقت الاستعلام: 0.58s تنقيح النتائج
  1. 2121

    Comparison of absolute and relative errors. حسب Lahoucine Tadoummant (21647670)

    منشور في 2025
    "…A significant reduction in both error types is observed, with the relative error |<i>X</i><sub><i>r</i></sub>| decreasing from approximately 10<sup>−1</sup> to 10<sup>−8</sup>. …"
  2. 2122

    Rate of convergence for relative errors. حسب Lahoucine Tadoummant (21647670)

    منشور في 2025
    "…A significant reduction in both error types is observed, with the relative error |<i>X</i><sub><i>r</i></sub>| decreasing from approximately 10<sup>−1</sup> to 10<sup>−8</sup>. …"
  3. 2123

    Ultrafine Particulate Matter Exacerbates the Risk of Delayed Neural Differentiation: Modulation Role of METTL3-Mediated m<sup>6</sup>A Modification حسب Rui Wang (52434)

    منشور في 2025
    "…By employing <i>N</i>6-methyladenosine (m<sup>6</sup>A) methylated RNA immunoprecipitation sequencing and bioinformatics, we identified <i>Zic1</i> as a key target of PM<sub>0.1</sub>-induced developmental disturbances. …"
  4. 2124
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  9. 2129
  10. 2130

    Frontier Analysis Based on ASDR and SDI. حسب Guanghui Yu (423945)

    منشور في 2025
    "…The frontier analysis identified 15 countries with the greatest potential for improvement. According to the BAPC model, the ASDR for females is projected to rise across the 20–80 age group, while for males, the increase is particularly pronounced in the 55–75 age group. …"
  11. 2131

    Complexity comparison of different models. حسب Li Yuan (102305)

    منشور في 2025
    "…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …"
  12. 2132

    Dynamic window based median filtering algorithm. حسب Li Yuan (102305)

    منشور في 2025
    "…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …"
  13. 2133

    Flow of operation of improved KMA. حسب Li Yuan (102305)

    منشور في 2025
    "…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …"
  14. 2134

    Improved DAE based on LSTM. حسب Li Yuan (102305)

    منشور في 2025
    "…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …"
  15. 2135

    Autoencoder structure. حسب Li Yuan (102305)

    منشور في 2025
    "…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …"
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  19. 2139
  20. 2140