Showing 641 - 660 results of 99,932 for search '(( 5 step decrease ) OR ( 5 ((fold decrease) OR (((nn decrease) OR (a decrease)))) ))', query time: 1.39s Refine Results
  1. 641
  2. 642
  3. 643
  4. 644
  5. 645
  6. 646
  7. 647

    Comparison of the three attention steps. by Enming Zhao (3957782)

    Published 2024
    “…Through comparative evaluations with heatmap and regression-based models such as HRNet, HigherHRNet, DEKR, DEKRv2, and YOLOv5-pose, our method improves AP<sub>0.5</sub> by at least 0.4%, reduces the number of parameters by at least 0.4%, and decreases the amount of computation by at least 1.0 GFLOPs, achieving a harmonious balance between accuracy and efficiency. …”
  8. 648
  9. 649

    Flow chart with steps of conducting the study. by Athira Satheesh Kumar (20570553)

    Published 2025
    “…<div><p>Individual attitudes vastly affect the transformations we are experiencing and are vital in mitigating or intensifying climate change. A socio-climate model by coupling a model of rumor dynamics in heterogeneous networks to a simple Earth System model is developed, in order to analyze how rumors about climate change impact individuals’ opinions when they may choose to either believe or reject the rumors they come across over time. …”
  10. 650
  11. 651
  12. 652

    Juvenile demyelination induces a loss of functional autapses. by Sara Hijazi (21656615)

    Published 2025
    “…<p><b>A</b>. <i>Upper panel</i>. Example traces (average of 8 sweeps) of unitary autaptic inhibitory postsynaptic currents triggered by voltage steps from holding potential of -−70 mV to 0 mV in PV interneuron (fast inward Na+ currents were partially removed), which can be blocked by gabazine (gray). …”
  13. 653
  14. 654
  15. 655
  16. 656
  17. 657
  18. 658
  19. 659
  20. 660

    Data processing and analysis steps. by Alexandra V. Kulinkina (5335058)

    Published 2023
    “…We derived environmental variables from fine-resolution RS data (Landsat 8) and examined a variable distance radius (1–5 km) for aggregating these variables around point-prevalence locations in a non-parametric random forest modeling approach. …”