بدائل البحث:
weight optimization » joint optimization (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
data sampling » water sampling (توسيع البحث), data samples (توسيع البحث), data sample (توسيع البحث)
binary model » final model (توسيع البحث), injury model (توسيع البحث), tiny model (توسيع البحث)
model weight » model weights (توسيع البحث), body weight (توسيع البحث), model which (توسيع البحث)
weight optimization » joint optimization (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
data sampling » water sampling (توسيع البحث), data samples (توسيع البحث), data sample (توسيع البحث)
binary model » final model (توسيع البحث), injury model (توسيع البحث), tiny model (توسيع البحث)
model weight » model weights (توسيع البحث), body weight (توسيع البحث), model which (توسيع البحث)
-
101
Results of ablation experiments.
منشور في 2025"…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
-
102
Image of the ReLU function.
منشور في 2025"…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
-
103
Plot of baseline model output results.
منشور في 2025"…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
-
104
Comparative test results.
منشور في 2025"…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
-
105
Recall results.
منشور في 2025"…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
-
106
mAP@0.5:0.95 results.
منشور في 2025"…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
-
107
Precision results.
منشور في 2025"…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
-
108
SimConv structure.
منشور في 2025"…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
-
109
Table of training hyperparameters.
منشور في 2025"…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
-
110
Diagram of the original model confusion matrix.
منشور في 2025"…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …"
-
111
Model predicted sites for GNNA.
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. …"
-
112
Time complexity of the model respectively.
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. …"
-
113
Variable importance for the PRF model.
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. …"
-
114
Model predicted sites for PRFBOA.
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. …"
-
115
AUC-ROC curve for PRFPCA model.
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. …"
-
116
AUC-ROC curve for PRF model.
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. …"
-
117
Cross validation of PRF and PRFGA models.
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. …"
-
118
Confusion matrix for the PRF model.
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. …"
-
119
Confusion matrix for the PRFGA model.
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. …"
-
120
Model predicted sites for PRFGA.
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. …"