Showing 1 - 20 results of 2,970 for search '(( a ((((greatest decrease) OR (linear decrease))) OR (larger decrease)) ) OR ( _ cnn decrease ))', query time: 0.44s Refine Results
  1. 1

    Differentially expressed genes (DEGs)<sup>a</sup> showing the greatest fold changes from each potato tissue: 10 with greatest increase in expression and 10 with greatest decrease in expression. by Margaret A. Carpenter (6104180)

    Published 2025
    “…<p>Differentially expressed genes (DEGs)<sup>a</sup> showing the greatest fold changes from each potato tissue: 10 with greatest increase in expression and 10 with greatest decrease in expression.…”
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6

    A Locally Linear Dynamic Strategy for Manifold Learning. by Weifan Wang (4669081)

    Published 2025
    “…For 10-30% noise, where the Hebbian network employs a local linear transform, learning selectively increases signal direction alignment (blue) while simultaneously decreasing noise direction alignment (orange). …”
  7. 7
  8. 8

    Biases in larger populations. by Sander W. Keemink (21253563)

    Published 2025
    “…(<b>B</b>) Minimum and maximum bias in a long 1D array with rectified cosine tuning. Bias expressed in terms of the distance between neurons in a linear population of equally spaced neurons. …”
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15

    <b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

    Published 2025
    “…The locomotion values (traces and metrics) are in arbitrary units with larger integers representing a greater displacement of the spherical treadmill, the hemodynamic (Hbt) values (traces and metrics) are a percentage change from the normalised baseline (prior to stimulus presentation), and the corresponding time series vector is presented in seconds. …”
  16. 16
  17. 17
  18. 18
  19. 19

    CNN model. by Longfei Gao (698900)

    Published 2025
    “…The experimental setup covers a variety of grinding parameters, including grinding wheel linear speed, grinding depth and feed rate, to ensure the accuracy and reliability of the model under different conditions. …”
  20. 20

    CNN framework. by Sajid Mehmood (6689843)

    Published 2025
    “…We propose to implement both MLP (Multilayer Perceptron) and CNN (Convolutional Neural Networks) based on conventional methods to detect the Denial of Services (DDoS) attack. …”