Showing 881 - 900 results of 1,894 for search '(((spinazze OR shinae) OR (spine OR fine)) OR ((pina OR sping) OR (ping OR peng)))', query time: 0.22s Refine Results
  1. 881
  2. 882
  3. 883
  4. 884
  5. 885
  6. 886
  7. 887
  8. 888

    Cyber-physical thermal management of 3D multi-core cache-processor system with microfluidic cooling by Qian, Hanhua, Huang, Xiwei, Yu, Hao, Chang, Chip Hong

    Published 2012
    “…Our work analyzes and predicts the fine-grained temperature profile of multi-core processorcache system. …”
    Get full text
    Get full text
    Journal Article
  9. 889
  10. 890

    Scene understanding based on heterogeneous data fusion by Zhu, Lingzhi

    Published 2017
    “…This network achieves 0.77 mean average precision without any fine tuning. Moreover, after fine tuning process, the highest mAP score it can reach is 0.804. …”
    Get full text
    Final Year Project (FYP)
  11. 891
  12. 892
  13. 893
  14. 894
  15. 895

    Investigating the genetics and immunopathogenesis of ankylosing spondylitis by Liu, F

    Published 2024
    “…<p>Ankylosing spondylitis is an immune-mediated inflammatory arthritis mainly affecting the spine, although the peripheral joints, skin, intestine, and eyes could also be affected. …”
    Thesis
  16. 896

    Strength improvement by surcharge and vacuum preloading by Lew, Chloe Yan Bin Jmi

    Published 2023
    “…This study used Kaolin as the sample material to examine the impact of vacuum and surcharge preloading on the undrained shear strength and soil-water characteristic curve of fine-grained soil. Consolidated kaolin samples were trimmed into cylindrical specimens and subjected to different pre-consolidation pressures. …”
    Get full text
    Final Year Project (FYP)
  17. 897

    Bi-factorial preference optimization: balancing safety-helpfulness in language models by Zhang, W, Torr, PHS, Elhoseiny, M, Bibi, A

    Published 2025
    “…Fine-tuning large language models (LLMs) on human preferences, typically through reinforcement learning from human feedback (RLHF), has proven successful in enhancing their capabilities. …”
    Conference item
  18. 898
  19. 899
  20. 900