Search alternatives:
required optimization » guided optimization (Expand Search), resource optimization (Expand Search), feature optimization (Expand Search)
based optimization » whale optimization (Expand Search)
task required » task requiring (Expand Search), time required (Expand Search), also required (Expand Search)
primary data » primary care (Expand Search)
binary task » binary mask (Expand Search)
data based » data used (Expand Search)
Showing 61 - 80 results of 312 for search '(( binary task required optimization algorithm ) OR ( primary data based optimization algorithm ))', query time: 0.46s Refine Results
  1. 61
    Table_1_Data-based modeling for hypoglycemia prediction: Importance, trends, and implications for clinical practice.docx

    Table_1_Data-based modeling for hypoglycemia prediction: Importance, trends, and implications for clinical practice.docx by Liyin Zhang (6371999)

    Published 2023
    Save to List
    Saved in:
  2. 62
    Load data or power demand.

    Load data or power demand. by M. Nasrallah (19066121)

    Published 2024
    Save to List
    Saved in:
  3. 63
    A portfolio selection model based on the knapsack problem under uncertainty

    A portfolio selection model based on the knapsack problem under uncertainty by Fereshteh Vaezi (6655028)

    Published 2019
    “…The resulted model is converted into a parametric linear programming model in which the decision maker is able to determine the optimism threshold. Finally, a discrete firefly algorithm is designed to find the near optional solutions in large dimensions. …”
    Save to List
    Saved in:
  4. 64
    Weights of sample data.

    Weights of sample data. by Yixuan Lu (9987980)

    Published 2023
    Save to List
    Saved in:
  5. 65
    Data_Sheet_1_Prediction-Driven Decision Support for Patients With Mild Stroke: A Model Based on Machine Learning Algorithms.docx

    Data_Sheet_1_Prediction-Driven Decision Support for Patients With Mild Stroke: A Model Based on Machine Learning Algorithms.docx by Xinping Lin (1591438)

    Published 2021
    Save to List
    Saved in:
  6. 66
    Sample data of K-means clustering.

    Sample data of K-means clustering. by Yixuan Lu (9987980)

    Published 2023
    Save to List
    Saved in:
  7. 67
    Business priorities.

    Business priorities. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
    Save to List
    Saved in:
  8. 68
    Topology of 14-node communication network.

    Topology of 14-node communication network. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
    Save to List
    Saved in:
  9. 69
    Changes of risk value under different parameters.

    Changes of risk value under different parameters. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
    Save to List
    Saved in:
  10. 70
    Performance of active and standby paths.

    Performance of active and standby paths. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
    Save to List
    Saved in:
  11. 71
    Data_Sheet_1_Optimizing Spatio-Temporal Allocation of the COVID-19 Vaccine Under Different Epidemiological Landscapes.pdf

    Data_Sheet_1_Optimizing Spatio-Temporal Allocation of the COVID-19 Vaccine Under Different Epidemiological Landscapes.pdf by Wen Cao (696121)

    Published 2022
    Save to List
    Saved in:
  12. 72
    Data_Sheet_1_Comparison of Radiomics-Based Machine-Learning Classifiers in Diagnosis of Glioblastoma From Primary Central Nervous System Lymphoma.PDF

    Data_Sheet_1_Comparison of Radiomics-Based Machine-Learning Classifiers in Diagnosis of Glioblastoma From Primary Central Nervous System Lymphoma.PDF by Chaoyue Chen (7298480)

    Published 2020
    Save to List
    Saved in:
  13. 73
    Comparative analysis of DDcGAN-GSOM’s True Positive Rate, False Alarm Rate, and Specificity.

    Comparative analysis of DDcGAN-GSOM’s True Positive Rate, False Alarm Rate, and Specificity. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  14. 74
    Architecture of proposed system model.

    Architecture of proposed system model. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  15. 75
    F1-score analysis of DDcGAN-GSOM with existing methods.

    F1-score analysis of DDcGAN-GSOM with existing methods. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  16. 76
    Accuracy analysis of DDcGAN-GSOM with existing techniques.

    Accuracy analysis of DDcGAN-GSOM with existing techniques. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  17. 77
    Network simulation of the proposed method.

    Network simulation of the proposed method. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  18. 78
    Simulation parameters of SDN network.

    Simulation parameters of SDN network. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  19. 79
    Generator loss of the proposed method.

    Generator loss of the proposed method. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  20. 80
    Simulation parameters of DDcGAN.

    Simulation parameters of DDcGAN. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
    Subjects:
    Save to List
    Saved in:

Search Tools: