Showing 18,021 - 18,040 results of 44,251 for search '(( 5 ((nn decrease) OR (mean decrease)) ) OR ( 50 ((ng decrease) OR (a decrease)) ))', query time: 1.38s Refine Results
  1. 18021
  2. 18022

    Ablation study results. by Chunming Wen (17616274)

    Published 2025
    “…The computational cost decreased from 11.6 GFlops to 6.6 GFlops.</p></div>…”
  3. 18023

    LSDED structure. by Chunming Wen (17616274)

    Published 2025
    “…The computational cost decreased from 11.6 GFlops to 6.6 GFlops.</p></div>…”
  4. 18024

    SSFF and TFE structural diagrams. by Chunming Wen (17616274)

    Published 2025
    “…The computational cost decreased from 11.6 GFlops to 6.6 GFlops.</p></div>…”
  5. 18025

    Comparison of key data before and after pruning. by Chunming Wen (17616274)

    Published 2025
    “…The computational cost decreased from 11.6 GFlops to 6.6 GFlops.</p></div>…”
  6. 18026

    Improved structure of YOLO11. by Chunming Wen (17616274)

    Published 2025
    “…The computational cost decreased from 11.6 GFlops to 6.6 GFlops.</p></div>…”
  7. 18027

    3-D comparison of key data across models. by Chunming Wen (17616274)

    Published 2025
    “…The computational cost decreased from 11.6 GFlops to 6.6 GFlops.</p></div>…”
  8. 18028
  9. 18029

    Shape-IoU structure diagram. by Chunming Wen (17616274)

    Published 2025
    “…The computational cost decreased from 11.6 GFlops to 6.6 GFlops.</p></div>…”
  10. 18030

    YOLO11 structure. by Chunming Wen (17616274)

    Published 2025
    “…The computational cost decreased from 11.6 GFlops to 6.6 GFlops.</p></div>…”
  11. 18031

    Comparative experimental results. by Chunming Wen (17616274)

    Published 2025
    “…The computational cost decreased from 11.6 GFlops to 6.6 GFlops.</p></div>…”
  12. 18032

    Comparative experimental results. by Chunming Wen (17616274)

    Published 2025
    “…The computational cost decreased from 11.6 GFlops to 6.6 GFlops.</p></div>…”
  13. 18033
  14. 18034

    Autoignition Characteristics of NH<sub>3</sub>/C<sub>2</sub>H<sub>6</sub> Mixtures over Wide Pressure Ranges by Yueying Liang (14418450)

    Published 2025
    “…However, the sensitivity of H<sub>2</sub>O<sub>2</sub>(+M) = 2OH(+M) on ignition decreases with increasing temperature. Oxygen concentration significantly affects the IDTs for mixtures with a 10% mole fraction of ethane, while it becomes negligible for mixtures with a 50% mole fraction of ethane, and the reason behind this phenomenon requires further investigation. …”
  15. 18035

    Autoignition Characteristics of NH<sub>3</sub>/C<sub>2</sub>H<sub>6</sub> Mixtures over Wide Pressure Ranges by Yueying Liang (14418450)

    Published 2025
    “…However, the sensitivity of H<sub>2</sub>O<sub>2</sub>(+M) = 2OH(+M) on ignition decreases with increasing temperature. Oxygen concentration significantly affects the IDTs for mixtures with a 10% mole fraction of ethane, while it becomes negligible for mixtures with a 50% mole fraction of ethane, and the reason behind this phenomenon requires further investigation. …”
  16. 18036

    OCA combined with Gemcitabine or Cisplatin abrogates the colony forming capacity of iCCA cells. by S. Di Matteo (6260417)

    Published 2019
    “…<p>Colonies formed by mixed and mucinous iCCA cells were fixed with 0.1% crystal violet and counted (a colony was considered a cluster with more than 50 cells). …”
  17. 18037

    Simulation Parameter Settings. by Jinrong Liang (3918740)

    Published 2025
    “…After applying Taylor pruning to the model, its floating-point operations (FLOPs) were reduced from 40.5 M to 9.5 M, and its parameter memory was decreased from 2.6 M to 0.5 M. …”
  18. 18038

    Complexity analysis of each model. by Jinrong Liang (3918740)

    Published 2025
    “…After applying Taylor pruning to the model, its floating-point operations (FLOPs) were reduced from 40.5 M to 9.5 M, and its parameter memory was decreased from 2.6 M to 0.5 M. …”
  19. 18039

    Radon transform of the constellation diagram. by Jinrong Liang (3918740)

    Published 2025
    “…After applying Taylor pruning to the model, its floating-point operations (FLOPs) were reduced from 40.5 M to 9.5 M, and its parameter memory was decreased from 2.6 M to 0.5 M. …”
  20. 18040

    The process of Taylor score pruning. by Jinrong Liang (3918740)

    Published 2025
    “…After applying Taylor pruning to the model, its floating-point operations (FLOPs) were reduced from 40.5 M to 9.5 M, and its parameter memory was decreased from 2.6 M to 0.5 M. …”