بدائل البحث:
design optimization » bayesian optimization (توسيع البحث)
image design » images designed (توسيع البحث), simple design (توسيع البحث), space design (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
image design » images designed (توسيع البحث), simple design (توسيع البحث), space design (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
-
1
-
2
Table 1_A comparative analysis of binary and multi-class classification machine learning algorithms to detect current frailty status using the English longitudinal study of ageing...
منشور في 2025"…</p>Conclusion<p>Machine learning algorithms show promise for the detection of current frailty status, particularly in binary classification. …"
-
3
-
4
-
5
-
6
Association between crowding and oral habits.
منشور في 2025"…The dataset was created, and AI-based binary classification models for malocclusion were developed using an automated machine learning platform (DataRobot) to construct three algorithms for determining malocclusion (deep bite, maxillary protrusion, and crowding). …"
-
7
Association between deep bite and oral habits.
منشور في 2025"…The dataset was created, and AI-based binary classification models for malocclusion were developed using an automated machine learning platform (DataRobot) to construct three algorithms for determining malocclusion (deep bite, maxillary protrusion, and crowding). …"
-
8
Breakdown of participants by residential area.
منشور في 2025"…The dataset was created, and AI-based binary classification models for malocclusion were developed using an automated machine learning platform (DataRobot) to construct three algorithms for determining malocclusion (deep bite, maxillary protrusion, and crowding). …"
-
9
Each variable for the dataset.
منشور في 2025"…The dataset was created, and AI-based binary classification models for malocclusion were developed using an automated machine learning platform (DataRobot) to construct three algorithms for determining malocclusion (deep bite, maxillary protrusion, and crowding). …"
-
10
Sample image for illustration.
منشور في 2024"…Furthermore, the matching score for the test image is 0.975. The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"
-
11
Quadratic polynomial in 2D image plane.
منشور في 2024"…Furthermore, the matching score for the test image is 0.975. The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"
-
12
Prediction of health disorders in dairy cows monitored with collar based on Binary logistic analysis
منشور في 2023"…<div><p>ABSTRACT The objective of this study was to analyze data on physical activity and rumination time monitored via collars at the farm coupled with milk yield recorded by the rotary milking system to predict cows based on several disorders using the binary Logistic regression conducted with R software. …"
-
13
-
14
Comparison analysis of computation time.
منشور في 2024"…Furthermore, the matching score for the test image is 0.975. The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"
-
15
Process flow diagram of CBFD.
منشور في 2024"…Furthermore, the matching score for the test image is 0.975. The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"
-
16
Precision recall curve.
منشور في 2024"…Furthermore, the matching score for the test image is 0.975. The computation time for CBFD is 2.8 ms, which is at least 6.7% lower than that of other algorithms. …"
-
17
GSE96058 information.
منشور في 2024"…</p><p>Results</p><p>In this study, five main steps were followed for the analysis of mRNA expression data: reading, preprocessing, feature selection, classification, and SHAP algorithm. …"
-
18
The performance of classifiers.
منشور في 2024"…</p><p>Results</p><p>In this study, five main steps were followed for the analysis of mRNA expression data: reading, preprocessing, feature selection, classification, and SHAP algorithm. …"
-
19
Melanoma Detection by Means of Multiple Instance Learning
منشور في 2021"…We present an application to melanoma detection of a multiple instance learning (MIL) approach, whose objective, in the binary case, is to discriminate between positive and negative sets of items. …"
-
20
Fortran & C++: design fractal-type optical diffractive element
منشور في 2022"…</p> <p>(2) calculate diffraction fields for fractal and/or grid-matrix (binary) phase-holograms.</p> <p>(3) optimize the fractal and/or grid-matrix holograms for given target diffraction images, using annealing algorithms. …"