يعرض 2,481 - 2,500 نتائج من 5,254 نتيجة بحث عن 'significantly ((linear decrease) OR (((mean decrease) OR (greater decrease))))', وقت الاستعلام: 0.40s تنقيح النتائج
  1. 2481
  2. 2482
  3. 2483
  4. 2484
  5. 2485
  6. 2486
  7. 2487
  8. 2488
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  10. 2490
  11. 2491
  12. 2492
  13. 2493
  14. 2494
  15. 2495

    S1 File - حسب Ahmed Akib Jawad Karim (20427740)

    منشور في 2025
    "…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"
  16. 2496

    Confusion matrix for ClinicalBERT model. حسب Ahmed Akib Jawad Karim (20427740)

    منشور في 2025
    "…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"
  17. 2497

    Confusion matrix for LastBERT model. حسب Ahmed Akib Jawad Karim (20427740)

    منشور في 2025
    "…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"
  18. 2498

    Student model architecture. حسب Ahmed Akib Jawad Karim (20427740)

    منشور في 2025
    "…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"
  19. 2499

    Configuration of the LastBERT model. حسب Ahmed Akib Jawad Karim (20427740)

    منشور في 2025
    "…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"
  20. 2500

    Confusion matrix for DistilBERT model. حسب Ahmed Akib Jawad Karim (20427740)

    منشور في 2025
    "…Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …"