يعرض 1 - 20 نتائج من 4,124 نتيجة بحث عن '(((( algorithm pre function ) OR ( algorithm its function ))) OR ( algorithm npc function ))', وقت الاستعلام: 0.57s تنقيح النتائج
  1. 1
  2. 2
  3. 3
  4. 4

    Meta-analysis of EBV GWAS of NPC. حسب Ka Wo Wong (18625847)

    منشور في 2024
    الموضوعات:
  5. 5

    Modeling Molecularly Imprinted Nanoparticles with LNKD: A Resource Efficient Algorithm for Polymer Cross-Linking حسب Emma Stevens (22257358)

    منشور في 2025
    "…Here, we propose LNKD (Linking Nodes in KD-trees), a resource-efficient algorithm for predicting pairs of reactive atoms in pre-cross-linked 3D structures of monomers that applies not only to the modeling of MIPs, but also chemical cross-linking in other materials. …"
  6. 6
  7. 7
  8. 8

    Fitness function over the 50 runs. حسب Mohammed Alqahtani (2049139)

    منشور في 2025
    "…Results reveal that ZOA outperformed other algorithms, supplying electricity at a minimum cost of 0.1285 $/kWh in one configuration, with the LFP battery achieving the lowest NPC of 3.8 M$ in case studies with constrained LPSP. …"
  9. 9

    Fitness function over the 50 runs. حسب Mohammed Alqahtani (2049139)

    منشور في 2025
    "…Results reveal that ZOA outperformed other algorithms, supplying electricity at a minimum cost of 0.1285 $/kWh in one configuration, with the LFP battery achieving the lowest NPC of 3.8 M$ in case studies with constrained LPSP. …"
  10. 10

    Fitness function over the 50 runs. حسب Mohammed Alqahtani (2049139)

    منشور في 2025
    "…Results reveal that ZOA outperformed other algorithms, supplying electricity at a minimum cost of 0.1285 $/kWh in one configuration, with the LFP battery achieving the lowest NPC of 3.8 M$ in case studies with constrained LPSP. …"
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15
  16. 16

    Mean convergence graphs of the evolution in the performance function and its terms through generations in thirty executions of each algorithm. حسب Roberto Castro-Medina (21484990)

    منشور في 2025
    "…<p>Mean convergence graphs of the evolution in the performance function and its terms through generations in thirty executions of each algorithm.…"
  17. 17
  18. 18
  19. 19
  20. 20