Showing 17,481 - 17,500 results of 45,067 for search '(( 5 ((026 decrease) OR (mean decrease)) ) OR ( 50 ((c decrease) OR (a decrease)) ))', query time: 1.41s Refine Results
  1. 17481
  2. 17482
  3. 17483
  4. 17484
  5. 17485
  6. 17486
  7. 17487
  8. 17488
  9. 17489
  10. 17490

    Balanced Dataset Distribution. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
    “…We surpassing other models as such, CNN, VGG19, ResNet50.</p></div>…”
  11. 17491
  12. 17492

    <b>Warming alters plankton body-size distributions in a large field experiment</b> by Dania Albini (20288463)

    Published 2024
    “…We addressed this gap by conducting an extensive freshwater mesocosm experiment across 36 large field mesocosms exposed to intergenerational warming treatments of up to +8°C above ambient levels. We found a nonlinear decrease in the overall mean body size of zooplankton with warming, with a 57% reduction at +8°C. …”
  13. 17493
  14. 17494
  15. 17495
  16. 17496

    Missing puzzle pieces of time-restricted-eating (TRE) as a long-term weight-loss strategy in overweight and obese people? A systematic review and meta-analysis of randomized contro... by Jie-Hua Chen (11471484)

    Published 2023
    “…Pooled results showed that subjects on TRE regimen (> 4 weeks) achieved a significant weight loss in comparison with unrestricted time regimen (weighted mean difference: −2.32%; 95% CI: −3.50, −1.14%; <i>p</i> < 0.01); however, weight loss was mainly attributed to the loss of lean mass rather than fat mass. …”
  17. 17497
  18. 17498

    Structure diagram of ensemble model. by Hongqi Wang (2208238)

    Published 2024
    “…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”
  19. 17499

    Fitting formula parameter table. by Hongqi Wang (2208238)

    Published 2024
    “…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”
  20. 17500

    Test plan. by Hongqi Wang (2208238)

    Published 2024
    “…Comparative analysis highlights the significant enhancement in prediction accuracy achieved by the proposed ensemble model over single machine learning models, with root mean square error (RMSE) values below 0.05 and mean absolute percentage error (MAPE) values remaining under 2.5% in both frozen and unfrozen states. …”