Showing 101 - 120 results of 345 for search '(( primary data model optimization algorithm ) OR ( binary b process optimization algorithm ))', query time: 0.33s Refine Results
  1. 101
  2. 102
  3. 103

    ROC curves. by Nicola Lazzarini (3528197)

    Published 2022
    Subjects:
  4. 104

    PR curves. by Nicola Lazzarini (3528197)

    Published 2022
    Subjects:
  5. 105
  6. 106
  7. 107

    LSTM model performance. by Muhammad Usman Tariq (11022141)

    Published 2024
    “…Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. …”
  8. 108

    MLP Model performance. by Muhammad Usman Tariq (11022141)

    Published 2024
    “…Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. …”
  9. 109

    RNN Model performance. by Muhammad Usman Tariq (11022141)

    Published 2024
    “…Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. …”
  10. 110

    CNN Model performance. by Muhammad Usman Tariq (11022141)

    Published 2024
    “…Analytic approaches, both predictive and retrospective in nature, were used to interpret the data. Our primary objective was to determine the most effective model for predicting COVID-19 cases in the United Arab Emirates (UAE) and Malaysia. …”
  11. 111
  12. 112
  13. 113

    Data used to drive the Double Layer Carbon Model in the Qinling Mountains. by Huiwen Li (17705280)

    Published 2024
    “…The DLCM defines four soil carbon pools, categorized based on their location within the soil profile and their decomposition rates. The model divides the soil profile into topsoil (0-20 cm) and subsoil (20–100 cm) layers to match the SOC maps of the corresponding two layers generated by data-driven models. …”
  14. 114
  15. 115

    Business priorities. by Yang Yu (4292)

    Published 2025
    “…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …”
  16. 116

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

    Published 2025
    “…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …”
  17. 117

    Routing policy based on path satisfaction. by Yang Yu (4292)

    Published 2025
    “…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …”
  18. 118

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

    Published 2025
    “…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …”
  19. 119

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

    Published 2025
    “…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …”
  20. 120

    Proposed model tuned hyperparameters. by Subathra Gunasekaran (19492680)

    Published 2024
    “…Next, we employ batch normalization to smooth and enhance the collected data, followed by feature extraction using the AlexNet model. …”