يعرض 1 - 20 نتائج من 3,322 نتيجة بحث عن '(( square ((nn decrease) OR (a decrease)) ) OR ( a ((marked decrease) OR (larger decrease)) ))', وقت الاستعلام: 0.60s تنقيح النتائج
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    The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. حسب Gui Araujo (22170819)

    منشور في 2025
    "…(C) Mutualism also promotes an increase in network connectance when introduced into assembled communities, while stopping mutualistic interactions from entering an assembled system slowly decreases it. (D) As a result, the introduction of mutualistic interactions promotes a growth in complexity in communities where it was once established as low, while stopping the introduction of further mutualistic interactions causes a slight decrease in complexity. …"
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    Each subfigure shows a different local size (LS) and context size (CS) configuration, where the reliability of the model across different initializations is measured in R-squared. حسب Eloy Geenjaar (21533195)

    منشور في 2025
    "…Moreover, reliability decreases with a larger dimensionality of the context space, likely increasing the dimensions essentially increases the size and thus the number of equivalent solutions of the space. …"
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    Biases in larger populations. حسب Sander W. Keemink (21253563)

    منشور في 2025
    "…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …"
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    Related parameters of square LIBs. حسب Xueyong Pan (20390363)

    منشور في 2024
    "…The <i>T</i><sub>max</sub> of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …"
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    Optimal Latin square sampling distribution. حسب Xueyong Pan (20390363)

    منشور في 2024
    "…The <i>T</i><sub>max</sub> of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …"
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    Least squares support vector machine model. حسب Yang Guo (399435)

    منشور في 2025
    "…The traditional fault diagnosis method has low accuracy and poor stability for early fault diagnosis. In this paper, a fault diagnosis model of Chiller is designed by combining least squares support vector machine (LSSVM) optimized by hybrid improved northern goshawk optimization algorithm (HINGO) and improved IAdaBoost ensemble learning algorithm. …"