Search alternatives:
linear decrease » linear increase (Expand Search)
teer decrease » greater decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » greater decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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5941
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5942
Comparison of absolute and relative errors.
Published 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>. …”
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5943
Rate of convergence for relative errors.
Published 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>. …”
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5944
Prescription data.
Published 2025“…Considerable regional variations were observed across Sweden during the pandemic years, with antidepressant prescribing increasing slightly, and hypnotics and sedatives showing a relatively stable trend. None of the four key variables of disease spread and socio-economic factors showed a statistically significant correlation with the changes in the prescribing of drugs used for nicotine dependence.…”
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5945
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5946
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5947
Data.
Published 2025“…Using a generalized estimating equation model that accounted for age, sex, bednet use, and sentinel site, we found no significant difference in the effectiveness of the two treatment approaches (p = 0.845 for Mf and p = 0.332 for CFA). …”
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5948
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5949
Volcano plot showing the results of the RESP contrast for the peripheral blood mononuclear cell (PBMC) samples at 34 days post-infection (dpi).
Published 2025“…The top 10 most significant genes for increased and decreased expression with gene symbols are labelled.…”
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5950
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5951
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5952
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5953
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5954
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5955
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5956
Complexity comparison of different models.
Published 2025“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. …”
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5957
Dynamic window based median filtering algorithm.
Published 2025“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. …”
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5958
Flow of operation of improved KMA.
Published 2025“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. …”
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5959
Improved DAE based on LSTM.
Published 2025“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. …”
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5960
Autoencoder structure.
Published 2025“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. …”