يعرض 2,041 - 2,060 نتائج من 8,689 نتيجة بحث عن 'significantly ((((we decrease) OR (mean decrease))) OR (((teer decrease) OR (nn decrease))))', وقت الاستعلام: 0.68s تنقيح النتائج
  1. 2041

    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>. …"
  2. 2042

    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. …"
  3. 2043
  4. 2044
  5. 2045
  6. 2046
  7. 2047

    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. …"
  8. 2048

    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. …"
  9. 2049

    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. …"
  10. 2050

    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. …"
  11. 2051

    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. …"
  12. 2052
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  19. 2059
  20. 2060

    Data information. حسب Yuxin Wei (11510974)

    منشور في 2025
    "…The results show that the mean value of the TVDI in the Xinjiang Santun River Irrigation Area during 19 years was 0. 738, categorizing it as medium drought. …"