Showing 1 - 20 results of 983 for search '(((( b largest decrease ) OR ( a larger decrease ))) OR ( ai larger decrease ))', query time: 0.36s Refine Results
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    <b>Nest mass in forest tits </b><b><i>Paridae</i></b><b> </b><b>increases with elevation and decreasing body mass, promoting reproductive success</b> by Clara Wild (19246606)

    Published 2025
    “…We predicted that nest mass should increase with elevation and canopy openness, due to thermoregulation being more demanding in colder or warmer climatic conditions, and decrease with body mass, as larger species have greater thermoregulatory capabilities. …”
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    A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

    Published 2025
    “…This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”
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    Biases in larger populations. by Sander W. Keemink (21253563)

    Published 2025
    “…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”
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    The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

    Published 2025
    “…Parameter values: interaction strengths were drawn from a half-normal distribution of zero mean and a standard deviation of 0.2, and strength for consumers was made no larger than the strength for resources. …”
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    Scheme of g-λ model with larger values λ. by Zhanfeng Fan (20390992)

    Published 2024
    “…<div><p>This paper theoretically explores the propagation attenuation of normally incident P-waves on a single uncoupled joint exhibiting nonlinear deformation behavior. …”
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    AI KRegression by CHIN-CHENG CHU (20718575)

    Published 2025
    “…<p dir="ltr">The single-axis Sample Entropy (X-axis) only slightly decreased from 0.095 ± 0.054 to 0.080 ± 0.048 (p = 0.025*), and the Y-axis also only decreased from 0.106 ± 0.046 to 0.090 ± 0.043 (p = 0.025*), indicating that the complexity changes in a single direction are limited. …”
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