Showing 1 - 20 results of 43 for search '(( binary ptv dose optimization algorithm ) OR ( final phase process optimization algorithm ))', query time: 0.52s Refine Results
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7

    Flow chart of particle swarm algorithm. by Nour Eldeen Mahmoud Khalifa (19259450)

    Published 2024
    “…The third phase is the training and testing phase. Finally, the best-performing model was selected and compared with the currently established models (Alexnet, Squeezenet, Googlenet, Resnet50).…”
  8. 8
  9. 9
  10. 10
  11. 11
  12. 12

    Proposed architecture testing phase. by Yasir Khan Jadoon (21433231)

    Published 2025
    “…The proposed architecture is trained on the selected datasets, whereas the hyperparameters are chosen using the particle swarm optimization (PSO) algorithm. The trained model is employed in the testing phase for the feature extraction from the self-attention layer and passed to the shallow wide neural network classifier for the final classification. …”
  13. 13
  14. 14
  15. 15

    The structure of the Resnet50. by Nour Eldeen Mahmoud Khalifa (19259450)

    Published 2024
    “…The third phase is the training and testing phase. Finally, the best-performing model was selected and compared with the currently established models (Alexnet, Squeezenet, Googlenet, Resnet50).…”
  16. 16

    The bottleneck residual block for Resnet50. by Nour Eldeen Mahmoud Khalifa (19259450)

    Published 2024
    “…The third phase is the training and testing phase. Finally, the best-performing model was selected and compared with the currently established models (Alexnet, Squeezenet, Googlenet, Resnet50).…”
  17. 17

    DeepDate model’s architecture design. by Nour Eldeen Mahmoud Khalifa (19259450)

    Published 2024
    “…The third phase is the training and testing phase. Finally, the best-performing model was selected and compared with the currently established models (Alexnet, Squeezenet, Googlenet, Resnet50).…”
  18. 18
  19. 19
  20. 20

    Comparison with existing SOTA techniques. by Yasir Khan Jadoon (21433231)

    Published 2025
    “…The proposed architecture is trained on the selected datasets, whereas the hyperparameters are chosen using the particle swarm optimization (PSO) algorithm. The trained model is employed in the testing phase for the feature extraction from the self-attention layer and passed to the shallow wide neural network classifier for the final classification. …”