يعرض 101 - 120 نتائج من 288 نتيجة بحث عن '(( binary model weight optimization algorithm ) OR ( data sampling design optimization algorithm ))', وقت الاستعلام: 0.46s تنقيح النتائج
  1. 101

    Results of ablation experiments. حسب Mengqi Yuan (4852555)

    منشور في 2025
    "…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
  2. 102

    Image of the ReLU function. حسب Mengqi Yuan (4852555)

    منشور في 2025
    "…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
  3. 103

    Plot of baseline model output results. حسب Mengqi Yuan (4852555)

    منشور في 2025
    "…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
  4. 104

    Comparative test results. حسب Mengqi Yuan (4852555)

    منشور في 2025
    "…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
  5. 105

    Recall results. حسب Mengqi Yuan (4852555)

    منشور في 2025
    "…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
  6. 106

    mAP@0.5:0.95 results. حسب Mengqi Yuan (4852555)

    منشور في 2025
    "…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
  7. 107

    Precision results. حسب Mengqi Yuan (4852555)

    منشور في 2025
    "…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
  8. 108

    SimConv structure. حسب Mengqi Yuan (4852555)

    منشور في 2025
    "…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
  9. 109

    Table of training hyperparameters. حسب Mengqi Yuan (4852555)

    منشور في 2025
    "…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
  10. 110

    Diagram of the original model confusion matrix. حسب Mengqi Yuan (4852555)

    منشور في 2025
    "…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
  11. 111

    Model predicted sites for GNNA. حسب Taiwo A. Adekunle (22226868)

    منشور في 2025
    "…In this paper, we integrated the Genetic Algorithm Optimization technique, which is popular for its excellent feature extraction technique, to enhance the predictive performance of the PRF Model. a novel hybrid algorithm the genetically optimized probabilistic random forest algorithm, designed for predicting the distribution of <i><i>mastomys natalensis</i></i> in Nigeria. …"
  12. 112

    Time complexity of the model respectively. حسب Taiwo A. Adekunle (22226868)

    منشور في 2025
    "…In this paper, we integrated the Genetic Algorithm Optimization technique, which is popular for its excellent feature extraction technique, to enhance the predictive performance of the PRF Model. a novel hybrid algorithm the genetically optimized probabilistic random forest algorithm, designed for predicting the distribution of <i><i>mastomys natalensis</i></i> in Nigeria. …"
  13. 113

    Variable importance for the PRF model. حسب Taiwo A. Adekunle (22226868)

    منشور في 2025
    "…In this paper, we integrated the Genetic Algorithm Optimization technique, which is popular for its excellent feature extraction technique, to enhance the predictive performance of the PRF Model. a novel hybrid algorithm the genetically optimized probabilistic random forest algorithm, designed for predicting the distribution of <i><i>mastomys natalensis</i></i> in Nigeria. …"
  14. 114

    Model predicted sites for PRFBOA. حسب Taiwo A. Adekunle (22226868)

    منشور في 2025
    "…In this paper, we integrated the Genetic Algorithm Optimization technique, which is popular for its excellent feature extraction technique, to enhance the predictive performance of the PRF Model. a novel hybrid algorithm the genetically optimized probabilistic random forest algorithm, designed for predicting the distribution of <i><i>mastomys natalensis</i></i> in Nigeria. …"
  15. 115

    AUC-ROC curve for PRFPCA model. حسب Taiwo A. Adekunle (22226868)

    منشور في 2025
    "…In this paper, we integrated the Genetic Algorithm Optimization technique, which is popular for its excellent feature extraction technique, to enhance the predictive performance of the PRF Model. a novel hybrid algorithm the genetically optimized probabilistic random forest algorithm, designed for predicting the distribution of <i><i>mastomys natalensis</i></i> in Nigeria. …"
  16. 116

    AUC-ROC curve for PRF model. حسب Taiwo A. Adekunle (22226868)

    منشور في 2025
    "…In this paper, we integrated the Genetic Algorithm Optimization technique, which is popular for its excellent feature extraction technique, to enhance the predictive performance of the PRF Model. a novel hybrid algorithm the genetically optimized probabilistic random forest algorithm, designed for predicting the distribution of <i><i>mastomys natalensis</i></i> in Nigeria. …"
  17. 117

    Cross validation of PRF and PRFGA models. حسب Taiwo A. Adekunle (22226868)

    منشور في 2025
    "…In this paper, we integrated the Genetic Algorithm Optimization technique, which is popular for its excellent feature extraction technique, to enhance the predictive performance of the PRF Model. a novel hybrid algorithm the genetically optimized probabilistic random forest algorithm, designed for predicting the distribution of <i><i>mastomys natalensis</i></i> in Nigeria. …"
  18. 118

    Confusion matrix for the PRF model. حسب Taiwo A. Adekunle (22226868)

    منشور في 2025
    "…In this paper, we integrated the Genetic Algorithm Optimization technique, which is popular for its excellent feature extraction technique, to enhance the predictive performance of the PRF Model. a novel hybrid algorithm the genetically optimized probabilistic random forest algorithm, designed for predicting the distribution of <i><i>mastomys natalensis</i></i> in Nigeria. …"
  19. 119

    Confusion matrix for the PRFGA model. حسب Taiwo A. Adekunle (22226868)

    منشور في 2025
    "…In this paper, we integrated the Genetic Algorithm Optimization technique, which is popular for its excellent feature extraction technique, to enhance the predictive performance of the PRF Model. a novel hybrid algorithm the genetically optimized probabilistic random forest algorithm, designed for predicting the distribution of <i><i>mastomys natalensis</i></i> in Nigeria. …"
  20. 120

    Model predicted sites for PRFGA. حسب Taiwo A. Adekunle (22226868)

    منشور في 2025
    "…In this paper, we integrated the Genetic Algorithm Optimization technique, which is popular for its excellent feature extraction technique, to enhance the predictive performance of the PRF Model. a novel hybrid algorithm the genetically optimized probabilistic random forest algorithm, designed for predicting the distribution of <i><i>mastomys natalensis</i></i> in Nigeria. …"