بدائل البحث:
guided optimization » based optimization (توسيع البحث), model optimization (توسيع البحث)
wolf optimization » whale optimization (توسيع البحث), swarm optimization (توسيع البحث), _ optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
each image » each age (توسيع البحث), each stage (توسيع البحث)
guided optimization » based optimization (توسيع البحث), model optimization (توسيع البحث)
wolf optimization » whale optimization (توسيع البحث), swarm optimization (توسيع البحث), _ optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
each image » each age (توسيع البحث), each stage (توسيع البحث)
-
1
The flowchart of the proposed algorithm.
منشور في 2024"…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …"
-
2
-
3
Summary of literature review.
منشور في 2024"…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …"
-
4
Topic description.
منشور في 2024"…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …"
-
5
Notations along with their descriptions.
منشور في 2024"…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …"
-
6
Detail of the topics extracted from DUC2002.
منشور في 2024"…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …"
-
7
Table_1_An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.pdf
منشور في 2024"…Next, a hybrid feature extraction approach is presented leveraging transfer learning from selected deep neural network models, InceptionV3 and DenseNet201, to extract comprehensive feature sets. To optimize feature selection, a customized binary Grey Wolf Algorithm is utilized, achieving an impressive 80% reduction in feature size while preserving key discriminative information. …"
-
8
Video_8_Standardizing Single-Frame Phase Singularity Identification Algorithms and Parameters in Phase Mapping During Human Atrial Fibrillation.MP4
منشور في 2020"…Similarly, algorithm 3 + DBSCAN with optimal parameters is preferred for uniform 2D meshes. …"
-
9
Video_6_Standardizing Single-Frame Phase Singularity Identification Algorithms and Parameters in Phase Mapping During Human Atrial Fibrillation.MP4
منشور في 2020"…Similarly, algorithm 3 + DBSCAN with optimal parameters is preferred for uniform 2D meshes. …"
-
10
Video_3_Standardizing Single-Frame Phase Singularity Identification Algorithms and Parameters in Phase Mapping During Human Atrial Fibrillation.MP4
منشور في 2020"…Similarly, algorithm 3 + DBSCAN with optimal parameters is preferred for uniform 2D meshes. …"
-
11
Video_2_Standardizing Single-Frame Phase Singularity Identification Algorithms and Parameters in Phase Mapping During Human Atrial Fibrillation.MP4
منشور في 2020"…Similarly, algorithm 3 + DBSCAN with optimal parameters is preferred for uniform 2D meshes. …"
-
12
Video_9_Standardizing Single-Frame Phase Singularity Identification Algorithms and Parameters in Phase Mapping During Human Atrial Fibrillation.MP4
منشور في 2020"…Similarly, algorithm 3 + DBSCAN with optimal parameters is preferred for uniform 2D meshes. …"
-
13
Video_10_Standardizing Single-Frame Phase Singularity Identification Algorithms and Parameters in Phase Mapping During Human Atrial Fibrillation.MP4
منشور في 2020"…Similarly, algorithm 3 + DBSCAN with optimal parameters is preferred for uniform 2D meshes. …"
-
14
Data_Sheet_1_Standardizing Single-Frame Phase Singularity Identification Algorithms and Parameters in Phase Mapping During Human Atrial Fibrillation.docx
منشور في 2020"…Similarly, algorithm 3 + DBSCAN with optimal parameters is preferred for uniform 2D meshes. …"
-
15
Video_1_Standardizing Single-Frame Phase Singularity Identification Algorithms and Parameters in Phase Mapping During Human Atrial Fibrillation.MP4
منشور في 2020"…Similarly, algorithm 3 + DBSCAN with optimal parameters is preferred for uniform 2D meshes. …"
-
16
Video_5_Standardizing Single-Frame Phase Singularity Identification Algorithms and Parameters in Phase Mapping During Human Atrial Fibrillation.MP4
منشور في 2020"…Similarly, algorithm 3 + DBSCAN with optimal parameters is preferred for uniform 2D meshes. …"
-
17
Video_4_Standardizing Single-Frame Phase Singularity Identification Algorithms and Parameters in Phase Mapping During Human Atrial Fibrillation.MP4
منشور في 2020"…Similarly, algorithm 3 + DBSCAN with optimal parameters is preferred for uniform 2D meshes. …"
-
18
Video_7_Standardizing Single-Frame Phase Singularity Identification Algorithms and Parameters in Phase Mapping During Human Atrial Fibrillation.MP4
منشور في 2020"…Similarly, algorithm 3 + DBSCAN with optimal parameters is preferred for uniform 2D meshes. …"
-
19
-
20