Showing 161 - 180 results of 4,592 for search '(( process ((text decrease) OR (we decrease)) ) OR ( a ((large decrease) OR (larger decrease)) ))', query time: 0.47s Refine Results
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    A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

    Published 2025
    “…However, this model can be time-consuming and can only represent a single vessel track. To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. …”
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    High-Reflectivity Force-Chromic Photonic Crystal Elastic Materials Based on Nanospheres within an Elastomer for Applications in Sensing and Textile Fields by Zhichuang Qi (20539399)

    Published 2025
    “…It was found that due to the large Δ<i>n</i> between PS@SiO<sub>2</sub> nanospheres and acrylate matrices (Δ<i>n</i> > 0.05), the FPE possessed a high reflectivity (<i>R</i> > 82%), and the color change under force stimulation is obvious. …”
  10. 170

    High-Reflectivity Force-Chromic Photonic Crystal Elastic Materials Based on Nanospheres within an Elastomer for Applications in Sensing and Textile Fields by Zhichuang Qi (20539399)

    Published 2025
    “…It was found that due to the large Δ<i>n</i> between PS@SiO<sub>2</sub> nanospheres and acrylate matrices (Δ<i>n</i> > 0.05), the FPE possessed a high reflectivity (<i>R</i> > 82%), and the color change under force stimulation is obvious. …”
  11. 171

    High-Reflectivity Force-Chromic Photonic Crystal Elastic Materials Based on Nanospheres within an Elastomer for Applications in Sensing and Textile Fields by Zhichuang Qi (20539399)

    Published 2025
    “…It was found that due to the large Δ<i>n</i> between PS@SiO<sub>2</sub> nanospheres and acrylate matrices (Δ<i>n</i> > 0.05), the FPE possessed a high reflectivity (<i>R</i> > 82%), and the color change under force stimulation is obvious. …”
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    Pseudo code for coupling model execution process. by Jintao Li (448681)

    Published 2024
    “…However, runoff formation is a complex process influenced by various natural and anthropogenic factors, resulting in nonlinearity, nonstationarity, and long prediction periods, which complicate forecasting efforts. …”
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    Data from: Large subsurface carbon stocks in a long-term no-tillage site are vulnerable to potential mineralization by Qiuping Peng (20147290)

    Published 2024
    “…</p> <p>At the conclusion of the initial incubation measurements, we also initiated a new 60-day incubation on a subset of samples to evaluate changes in microbial community composition over time. …”
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