يعرض 81 - 100 نتائج من 307 نتيجة بحث عن '(( binary state driven optimization algorithm ) OR ( primary data models optimization algorithm ))', وقت الاستعلام: 0.70s تنقيح النتائج
  1. 81

    S2 Data - حسب Musab A. Isak (18824223)

    منشور في 2024
  2. 82

    S1 Data - حسب Musab A. Isak (18824223)

    منشور في 2024
  3. 83
  4. 84

    Business priorities. حسب Yang Yu (4292)

    منشور في 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. …"
  5. 85

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

    منشور في 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. …"
  6. 86

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

    منشور في 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. …"
  7. 87

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

    منشور في 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. …"
  8. 88

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

    منشور في 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. …"
  9. 89

    Proposed model tuned hyperparameters. حسب Subathra Gunasekaran (19492680)

    منشور في 2024
    "…Next, we employ batch normalization to smooth and enhance the collected data, followed by feature extraction using the AlexNet model. …"
  10. 90

    Proposed model sensitivity outcome. حسب Subathra Gunasekaran (19492680)

    منشور في 2024
    "…Next, we employ batch normalization to smooth and enhance the collected data, followed by feature extraction using the AlexNet model. …"
  11. 91

    CNN-LSTM Model performance. حسب Muhammad Usman Tariq (11022141)

    منشور في 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. …"
  12. 92
  13. 93
  14. 94
  15. 95

    Proposed model specificity and DSC outcomes. حسب Subathra Gunasekaran (19492680)

    منشور في 2024
    "…Next, we employ batch normalization to smooth and enhance the collected data, followed by feature extraction using the AlexNet model. …"
  16. 96

    Bi-directional LSTM Model performance. حسب Muhammad Usman Tariq (11022141)

    منشور في 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. …"
  17. 97

    Prediction results of different models. حسب Qinghua Li (398885)

    منشور في 2024
    "…In the hybrid model of this paper, the choice was made to use the Densenet architecture of CNN models with LightGBM as the primary model. …"
  18. 98
  19. 99

    S1 Data - حسب Gaosha Li (20570760)

    منشور في 2025
    "…A combination of four machine learning algorithms (XGBoost、Logistic Regression、Random Forest、AdaBoost) was employed to predict NPM recurrence, and the model with the highest Area Under the Curve (AUC) in the test set was selected as the best model. …"
  20. 100