بدائل البحث:
joint optimization » policy optimization (توسيع البحث), wolf optimization (توسيع البحث), codon optimization (توسيع البحث)
after optimization » based optimization (توسيع البحث), model optimization (توسيع البحث), path optimization (توسيع البحث)
binary basic » binary mask (توسيع البحث)
primary data » primary care (توسيع البحث)
basic joint » based joint (توسيع البحث)
data after » days after (توسيع البحث)
joint optimization » policy optimization (توسيع البحث), wolf optimization (توسيع البحث), codon optimization (توسيع البحث)
after optimization » based optimization (توسيع البحث), model optimization (توسيع البحث), path optimization (توسيع البحث)
binary basic » binary mask (توسيع البحث)
primary data » primary care (توسيع البحث)
basic joint » based joint (توسيع البحث)
data after » days after (توسيع البحث)
-
1
-
2
Features selected by optimization algorithms.
منشور في 2024"…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
-
3
-
4
Hybrid feature selection algorithm of CSCO-ROA.
منشور في 2024"…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
-
5
MLP vs classification algorithms.
منشور في 2024"…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"
-
6
Models’ performance without optimization.
منشور في 2024"…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"
-
7
-
8
Iteration curve of the optimization process.
منشور في 2025"…After optimization, the material usage of the foundation boxes, secondary beams, and primary beams was reduced by 44.68%, 58.33%, and 55.00%, respectively, resulting in an overall material cost reduction of 52.67%. …"
-
9
-
10
RNN performance comparison with/out optimization.
منشور في 2024"…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"
-
11
-
12
-
13
-
14
-
15
Performance metrics for BrC.
منشور في 2024"…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
-
16
Proposed CVAE model.
منشور في 2024"…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
-
17
Proposed methodology.
منشور في 2024"…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
-
18
Loss vs. Epoch.
منشور في 2024"…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
-
19
Sample images from the BreakHis dataset.
منشور في 2024"…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"
-
20
Accuracy vs. Epoch.
منشور في 2024"…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"