يعرض 1 - 19 نتائج من 19 نتيجة بحث عن '(( binary each resource optimization algorithm ) OR ( binary task policy optimization algorithm ))*', وقت الاستعلام: 0.60s تنقيح النتائج
  1. 1

    Proposed Algorithm. حسب Hend Bayoumi (22693738)

    منشور في 2025
    الموضوعات:
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6

    An Example of a WPT-MEC Network. حسب Hend Bayoumi (22693738)

    منشور في 2025
    الموضوعات:
  7. 7

    Related Work Summary. حسب Hend Bayoumi (22693738)

    منشور في 2025
    الموضوعات:
  8. 8

    Simulation parameters. حسب Hend Bayoumi (22693738)

    منشور في 2025
    الموضوعات:
  9. 9

    Training losses for N = 10. حسب Hend Bayoumi (22693738)

    منشور في 2025
    الموضوعات:
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14

    Summary of Notations Used in this paper. حسب Hend Bayoumi (22693738)

    منشور في 2025
    الموضوعات:
  15. 15
  16. 16
  17. 17

    Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports حسب Olivier Q. Groot (9370461)

    منشور في 2020
    "…The aim of this study was to develop a natural language processing (NLP) algorithm for binary classification (single metastasis versus two or more metastases) in bone scintigraphy reports of patients undergoing surgery for bone metastases.…"
  18. 18

    Seed mix selection model حسب Bethanne Bruninga-Socolar (10923639)

    منشور في 2022
    "…The genetic algorithm then operated over 1000 iterations, applying crossover and mutation processes to optimize bee richness. …"
  19. 19

    Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles حسب Soham Savarkar (21811825)

    منشور في 2025
    "…</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…"