بدائل البحث:
based optimization » whale optimization (توسيع البحث)
primary level » primary cell (توسيع البحث)
level global » lower global (توسيع البحث), given global (توسيع البحث)
binary basic » binary mask (توسيع البحث)
basic based » music based (توسيع البحث), basic gases (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
primary level » primary cell (توسيع البحث)
level global » lower global (توسيع البحث), given global (توسيع البحث)
binary basic » binary mask (توسيع البحث)
basic based » music based (توسيع البحث), basic gases (توسيع البحث)
-
1
Features selected by optimization algorithms.
منشور في 2024"…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
-
2
-
3
-
4
Hybrid feature selection algorithm of CSCO-ROA.
منشور في 2024"…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
-
5
Zimbabwe model outputs on actual and optimized 2016 spending and impact by intervention.
منشور في 2021الموضوعات: -
6
-
7
-
8
-
9
-
10
Performance metrics for BrC.
منشور في 2024"…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
-
11
Proposed CVAE model.
منشور في 2024"…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
-
12
Proposed methodology.
منشور في 2024"…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
-
13
Loss vs. Epoch.
منشور في 2024"…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
-
14
Sample images from the BreakHis dataset.
منشور في 2024"…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
-
15
Accuracy vs. Epoch.
منشور في 2024"…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
-
16
Segmentation results of the proposed model.
منشور في 2024"…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
-
17
S1 Dataset -
منشور في 2024"…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
-
18
CSCO’s flowchart.
منشور في 2024"…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
-
19
Minimal Dateset.
منشور في 2025"…<div><p>As digital governance progresses rapidly, constructing digital portraits of residents has become instrumental in enhancing local-level administrative capabilities. Nonetheless, traditional K-means clustering algorithms struggle with the classification of high-dimensional and complex data, thereby limiting their effectiveness. …"
-
20
Loss Function Comparison.
منشور في 2025"…<div><p>As digital governance progresses rapidly, constructing digital portraits of residents has become instrumental in enhancing local-level administrative capabilities. Nonetheless, traditional K-means clustering algorithms struggle with the classification of high-dimensional and complex data, thereby limiting their effectiveness. …"