Search alternatives:
significantly less » significantly lower (Expand Search), significantly reduce (Expand Search), significantly better (Expand Search)
linear decrease » linear increase (Expand Search)
less decrease » mean decrease (Expand Search), teer decrease (Expand Search), levels decreased (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
significantly less » significantly lower (Expand Search), significantly reduce (Expand Search), significantly better (Expand Search)
linear decrease » linear increase (Expand Search)
less decrease » mean decrease (Expand Search), teer decrease (Expand Search), levels decreased (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
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Detailed information of the observation datasets.
Published 2025“…Understanding spatial-temporal characteristics of wind speed is significant in meteorology, coastal engineering design and maritime industries. …”
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General technical specification for GW154/6700.
Published 2025“…Understanding spatial-temporal characteristics of wind speed is significant in meteorology, coastal engineering design and maritime industries. …”
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Change in influenza vaccination uptake from May 2020 to October 2024 (weighted).
Published 2025Subjects: -
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Geometric manifold comparison visualization
Published 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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Hyperparameter ranges
Published 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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Convolutional vs RNN context encoder
Published 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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Data for: Soil microplastics pollution can reduce viral abundance and have less consistent impacts on bacteria
Published 2025“…A number of environmental factors may affect viruses and their microbial hosts differentiate. Here we report two experiments that addressed the impacts of microplastics (MP) on viruses and bacteria in soils. …”
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