Search alternatives:
models optimization » model optimization (Expand Search), process optimization (Expand Search), wolf optimization (Expand Search)
based optimization » whale optimization (Expand Search)
binary samples » biopsy samples (Expand Search), lunar samples (Expand Search)
samples based » samples used (Expand Search), samples obtained (Expand Search)
dietary data » history data (Expand Search)
models optimization » model optimization (Expand Search), process optimization (Expand Search), wolf optimization (Expand Search)
based optimization » whale optimization (Expand Search)
binary samples » biopsy samples (Expand Search), lunar samples (Expand Search)
samples based » samples used (Expand Search), samples obtained (Expand Search)
dietary data » history data (Expand Search)
-
1
-
2
-
3
-
4
-
5
-
6
-
7
The comparison of the accuracy score of the benchmark and the proposed models.
Published 2025Subjects: -
8
-
9
-
10
-
11
Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%).
Published 2025Subjects: -
12
-
13
-
14
-
15
-
16
ROC curve for binary classification.
Published 2024“…Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”
-
17
Confusion matrix for binary classification.
Published 2024“…Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”
-
18
Structure of the graphical model with general, treatment, and personal level nutrient effects.
Published 2024Subjects: -
19
-
20
The statistical description of the original data set of the patients (<i>n</i> = 162).
Published 2025Subjects: