يعرض 1 - 20 نتائج من 1,441 نتيجة بحث عن '(( a largest decrease ) OR ((( _ ((cnn decrease) OR (nn decrease)) ) OR ( a larger decrease ))))', وقت الاستعلام: 0.58s تنقيح النتائج
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5

    CNN Model Architecture. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

    منشور في 2025
    الموضوعات:
  6. 6

    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. …"
  7. 7
  8. 8
  9. 9
  10. 10
  11. 11

    Variables of trees located at coordinates . حسب Alexandra M. Campbell (3284094)

    منشور في 2025
    "…Furthermore, uncertainty analysis showed that the mean MSI of the population decreased over a 100-year period without weevil predation, and this trend was exacerbated by the presence of weevil predation.…"
  12. 12

    Global parameters and variables for the model. حسب Alexandra M. Campbell (3284094)

    منشور في 2025
    "…Furthermore, uncertainty analysis showed that the mean MSI of the population decreased over a 100-year period without weevil predation, and this trend was exacerbated by the presence of weevil predation.…"
  13. 13

    Variables of patch located at coordinates . حسب Alexandra M. Campbell (3284094)

    منشور في 2025
    "…Furthermore, uncertainty analysis showed that the mean MSI of the population decreased over a 100-year period without weevil predation, and this trend was exacerbated by the presence of weevil predation.…"
  14. 14

    MRSP Data collected in March 2018. حسب Alexandra M. Campbell (3284094)

    منشور في 2025
    "…Furthermore, uncertainty analysis showed that the mean MSI of the population decreased over a 100-year period without weevil predation, and this trend was exacerbated by the presence of weevil predation.…"
  15. 15
  16. 16
  17. 17
  18. 18
  19. 19
  20. 20

    CNN framework. حسب Sajid Mehmood (6689843)

    منشور في 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. …"