Showing 181 - 200 results of 7,165 for search '(( significant step decrease ) OR ( significantly ((we decrease) OR (linear decrease)) ))', query time: 0.50s Refine Results
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    Detailed information of the observation datasets. by Weidong Ji (129916)

    Published 2025
    “…Understanding spatial-temporal characteristics of wind speed is significant in meteorology, coastal engineering design and maritime industries. …”
  7. 187

    General technical specification for GW154/6700. by Weidong Ji (129916)

    Published 2025
    “…Understanding spatial-temporal characteristics of wind speed is significant in meteorology, coastal engineering design and maritime industries. …”
  8. 188

    Digital Microfluidic Platform Based on Printed Circuit Board for Affinity Evaluation of Mertansine Aptamers by Dongliu Xiang (10688647)

    Published 2025
    “…Compared with manual methods, the digital microfluidic platform not only reduced the time for a single determination from 105 to 45 min but also significantly decreased the reagent consumption from 1280 to 30.72 μL. …”
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    Geometric manifold comparison visualization by Eloy Geenjaar (21533195)

    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. …”
  14. 194

    Hyperparameter ranges by Eloy Geenjaar (21533195)

    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. …”
  15. 195

    Convolutional vs RNN context encoder by Eloy Geenjaar (21533195)

    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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