Search alternatives:
step decrease » sizes decrease (Expand Search), we decrease (Expand Search)
teer decrease » greater decrease (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), _ decrease (Expand Search)
step decrease » sizes decrease (Expand Search), we decrease (Expand Search)
teer decrease » greater decrease (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), _ decrease (Expand Search)
-
1881
-
1882
-
1883
-
1884
Data - willing to pay of dog owners.
Published 2025“…Male dog owners and dog owners belonging to lower age groups had significantly higher AT towards leashing dogs. Sixty two percent of dog owners were WTP for the suggested price bid amounts; but, in general, their number decreased when price of the vaccine increased. …”
-
1885
Data - intention of dog owners.
Published 2025“…Male dog owners and dog owners belonging to lower age groups had significantly higher AT towards leashing dogs. Sixty two percent of dog owners were WTP for the suggested price bid amounts; but, in general, their number decreased when price of the vaccine increased. …”
-
1886
Map of the study area (shaded in gray).
Published 2025“…Male dog owners and dog owners belonging to lower age groups had significantly higher AT towards leashing dogs. Sixty two percent of dog owners were WTP for the suggested price bid amounts; but, in general, their number decreased when price of the vaccine increased. …”
-
1887
-
1888
Downregulation of ATM1 affects iron-sulfur cluster proteins in <i>Toxoplasma</i> and iron levels in <i>Plasmodium</i>.
Published 2024“…The number of significantly increased and decreased proteins is given and the NEET protein CDGSH1 is indicated. …”
-
1889
-
1890
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. …”
-
1891
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. …”
-
1892
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. …”
-
1893
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. …”
-
1894
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. …”
-
1895
-
1896
-
1897
-
1898
-
1899
-
1900