بدائل البحث:
significantly impaired » significantly impairs (توسيع البحث), significantly improved (توسيع البحث), significantly improve (توسيع البحث)
impaired decrease » marked decrease (توسيع البحث)
mediate decrease » mediated defense (توسيع البحث)
significantly impaired » significantly impairs (توسيع البحث), significantly improved (توسيع البحث), significantly improve (توسيع البحث)
impaired decrease » marked decrease (توسيع البحث)
mediate decrease » mediated defense (توسيع البحث)
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2961
Fitting curve parameter table.
منشور في 2024"…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …"
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2962
Model prediction error analysis.
منشور في 2024"…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …"
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2963
Effect of carabrone on mitochondrial respiratory chain complex V (ATP synthase).
منشور في 2025"…Statistical significance was determined by one-way ANOVA with Tukey’s post hoc test (<i><i>P</i></i> < 0.05).…"
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2964
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2965
Complexity comparison of different models.
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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2966
Dynamic window based median filtering algorithm.
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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2967
Flow of operation of improved KMA.
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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2968
Improved DAE based on LSTM.
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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2969
Autoencoder structure.
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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2970
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2971
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2972
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2973
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2974
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2975
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2976
Modulation of performance during learning.
منشور في 2025"…(B) A longitudinal comparison of the average exponential fit weight between WT and zQ175 mice reveals that while WT mice show a decreasing trend, indicating a shift towards longer duration (“timed”) trials, zQ175 mice maintain a consistently high exponential weight, demonstrating no significant change over time (b; RM two-way ANOVA, genotype p = 0.0106 F(1, 22) = 7.795, days p < 0.0001 F(5.262, 115.4) = 7.616, interaction p < 0.0001 F(57, 1250) = 2.834). …"
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2977
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2978
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2979
Data information.
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. …"
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2980