بدائل البحث:
linear decrease » linear increase (توسيع البحث)
teer decrease » mean decrease (توسيع البحث), greater decrease (توسيع البحث)
we decrease » _ decrease (توسيع البحث), nn decrease (توسيع البحث), mean decrease (توسيع البحث)
a decrease » _ decrease (توسيع البحث), _ decreased (توسيع البحث), _ decreases (توسيع البحث)
linear decrease » linear increase (توسيع البحث)
teer decrease » mean decrease (توسيع البحث), greater decrease (توسيع البحث)
we decrease » _ decrease (توسيع البحث), nn decrease (توسيع البحث), mean decrease (توسيع البحث)
a decrease » _ decrease (توسيع البحث), _ decreased (توسيع البحث), _ decreases (توسيع البحث)
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Data for the G7 countries in 2022.
منشور في 2024"…The results indicate that only France displays a significant negative trend and thus a continuous decrease in the level of alcohol consumption. …"
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Time series plots: Alcohol consumption.
منشور في 2024"…The results indicate that only France displays a significant negative trend and thus a continuous decrease in the level of alcohol consumption. …"
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Geometric manifold comparison visualization
منشور في 2025"…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …"
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191
Hyperparameter ranges
منشور في 2025"…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …"
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192
Convolutional vs RNN context encoder
منشور في 2025"…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …"
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193
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Comparison of questionnaire scores among genotypes for the significant associations.
منشور في 2025الموضوعات: -
199
Detailed information of the observation datasets.
منشور في 2025"…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…"
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General technical specification for GW154/6700.
منشور في 2025"…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…"