Search alternatives:
modeling algorithm » making algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), finding algorithm (Expand Search), routing algorithm (Expand Search)
client modeling » element modeling (Expand Search), climate modeling (Expand Search), current modeling (Expand Search)
cc3d algorithm » cscap algorithm (Expand Search), cnn algorithm (Expand Search), wold algorithm (Expand Search)
element » elements (Expand Search)
Showing 1 - 20 results of 234 for search '(( element cc3d algorithm ) OR ((( client modeling algorithm ) OR ( neural coding algorithm ))))', query time: 0.44s Refine Results
  1. 1
    The proportion of triples in each client.

    The proportion of triples in each client. by Chunjuan Li (7890182)

    Published 2025
    “…In addition, during the training process, it was found that both the server aggregation algorithm and the client knowledge graph embedding model performance can affect the overall performance of the algorithm.Therefore, a new server aggregation algorithm and knowledge graph embedding model RFE are proposed. …”
    Save to List
    Saved in:
  2. 2
    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code

    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

    Published 2025
    Save to List
    Saved in:
  3. 3
    Visualization Comparison Between Client Model with EA.

    Visualization Comparison Between Client Model with EA. by Pan Wang (198097)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  4. 4
    Visualization Comparison Between Client Model with NO_EA.

    Visualization Comparison Between Client Model with NO_EA. by Pan Wang (198097)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  5. 5
    Performance of HFKG on multiple clients divided by different datasets.

    Performance of HFKG on multiple clients divided by different datasets. by Chunjuan Li (7890182)

    Published 2025
    Save to List
    Saved in:
  6. 6
    Data and code resources.

    Data and code resources. by Sam Hall-McMaster (10343795)

    Published 2025
    Save to List
    Saved in:
  7. 7
    Performance of HFKG (aggregation) on multiple clients divided by different datasets.

    Performance of HFKG (aggregation) on multiple clients divided by different datasets. by Chunjuan Li (7890182)

    Published 2025
    Save to List
    Saved in:
  8. 8
    Performance of HFKG (triplet selection) on multiple clients divided by different datasets.

    Performance of HFKG (triplet selection) on multiple clients divided by different datasets. by Chunjuan Li (7890182)

    Published 2025
    Save to List
    Saved in:
  9. 9
    Comparison of model distances.

    Comparison of model distances. by Pan Wang (198097)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  10. 10
    Convergence plots of the A-FedSAM algorithm and baseline algorithms under independent and identically distributed (IID) settings with 40% and 80% participation on the SPORT1 and SPORT2 datasets.

    Convergence plots of the A-FedSAM algorithm and baseline algorithms under independent and identically distributed (IID) settings with 40% and 80% participation on the SPORT1 and SP... by Kexin Zhen (22453814)

    Published 2025
    Save to List
    Saved in:
  11. 11
    The parameter setting of the evolutionary neural network.

    The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  12. 12
    The genome coding scheme.

    The genome coding scheme. by Wenbing Shi (5806160)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  13. 13
    Convergence plot of A-FedSAM and baseline algorithms under various settings on the SPORT2 dataset.

    Convergence plot of A-FedSAM and baseline algorithms under various settings on the SPORT2 dataset. by Kexin Zhen (22453814)

    Published 2025
    Save to List
    Saved in:
  14. 14
    Convergence plot of A-FedSAM and baseline algorithms under various settings on the SPORT1 dataset.

    Convergence plot of A-FedSAM and baseline algorithms under various settings on the SPORT1 dataset. by Kexin Zhen (22453814)

    Published 2025
    Save to List
    Saved in:
  15. 15
    Comparison of federated learning algorithms.

    Comparison of federated learning algorithms. by Duy-Dong Le (22057362)

    Published 2025
    Save to List
    Saved in:
  16. 16
    The optimal number of clusters identified using the GMM clustering algorithm.

    The optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

    Published 2024
    Save to List
    Saved in:
  17. 17
    Optimal number of clusters identified using the GMM clustering algorithm.

    Optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

    Published 2024
    Save to List
    Saved in:
  18. 18
    Impact of multiunit merging on neural information encoding.

    Impact of multiunit merging on neural information encoding. by Daniel Suárez-Barrera (22676654)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  19. 19
    Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"

    Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>" by Yize Wang (19535173)

    Published 2024
    “…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…”
    Save to List
    Saved in:
  20. 20
    code_4

    code_4 by Olga Ovtsarenko (20432033)

    Published 2024
    Save to List
    Saved in:

Search Tools: