Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
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9501
Pesaran’s CADF test results for Model I.
Published 2024“…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”
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9502
Descriptive statistics of related variables.
Published 2024“…The results of the panel data analysis show a U-shaped relationship between FDI and carbon emissions which means carbon emissions decrease to a certain level with increasing FDI investment and after this level, increasing FDI increases the environmental degradation in terms of carbon emissions. …”
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9503
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9504
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. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”
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9505
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. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”
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9506
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. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”
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9507
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. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”
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9508
Autoencoder structure.
Published 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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9509
Acoustic Startle at 28 dpf.
Published 2025“…(C) There is a significant decrease of PPI in the 48+ and 72 + fish (p < 0.0001). …”
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9510
Participants demographic data.
Published 2025“…A decrease in mean erector spinae activity was observed in males only. …”
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9511
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9512
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9513
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9514
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9515
Experimental Analysis of Paraffin Deposition in Slug Flow
Published 2025“…Paraffin (wax) deposition poses a significant challenge in oil and gas production, particularly in ultradeepwater and harsh environments where temperatures drop below the wax appearance temperature (WAT). …”
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9516
Experimental Analysis of Paraffin Deposition in Slug Flow
Published 2025“…Paraffin (wax) deposition poses a significant challenge in oil and gas production, particularly in ultradeepwater and harsh environments where temperatures drop below the wax appearance temperature (WAT). …”
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9517
Experimental Analysis of Paraffin Deposition in Slug Flow
Published 2025“…Paraffin (wax) deposition poses a significant challenge in oil and gas production, particularly in ultradeepwater and harsh environments where temperatures drop below the wax appearance temperature (WAT). …”
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9518
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9519
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9520
Complementary conditioning measures in healthy subjects.
Published 2024“…<b>(I) Novelty</b> ratings significantly decreased from pre to post-conditioning (F<sub>(1,51)</sub> = 10.2, <i>P</i> = 0.002; post hoc CS<sup>-</sup>, <i>P</i> = 0.0001; post hoc CS<sup>+</sup>, <i>P</i> = 0.01) but similarly for both stimuli (F<sub>(1, 51)</sub> = 0.17, <i>P</i> = 0.7; Interaction: F<sub>(1, 51)</sub> = 1.1, <i>P</i> = 0.3). …”