Showing 1 - 20 results of 3,324 for search '(( square ((step decrease) OR (a decrease)) ) OR ( a ((larger decrease) OR (marked decrease)) ))', query time: 0.56s Refine Results
  1. 1

    The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

    Published 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. …”
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8

    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. by Eloy Geenjaar (21533195)

    Published 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. …”
  9. 9
  10. 10
  11. 11

    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. …”
  12. 12
  13. 13
  14. 14
  15. 15
  16. 16
  17. 17

    Related parameters of square LIBs. by Xueyong Pan (20390363)

    Published 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. …”
  18. 18

    Optimal Latin square sampling distribution. by Xueyong Pan (20390363)

    Published 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. …”
  19. 19
  20. 20

    Least squares support vector machine model. by Yang Guo (399435)

    Published 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. …”