بدائل البحث:
process optimization » robust optimization (توسيع البحث), model optimization (توسيع البحث), policy optimization (توسيع البحث)
learning process » training process (توسيع البحث), making process (توسيع البحث)
binary learning » 1_early learning (توسيع البحث)
process optimization » robust optimization (توسيع البحث), model optimization (توسيع البحث), policy optimization (توسيع البحث)
learning process » training process (توسيع البحث), making process (توسيع البحث)
binary learning » 1_early learning (توسيع البحث)
-
1
-
2
Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm
منشور في 2025"…Our results show that deep learning and optimization </p><p dir="ltr">methods, such as the binary GWO algorithm, can be successfully applied to melanoma diagnosis. …"
-
3
-
4
-
5
-
6
Comparisons of computation rate performance for different offloading algorithms.for N = 10, 20, 30.
منشور في 2025الموضوعات: -
7
Comparison of total time consumed for different offloading algorithms.for N = 10, 20, 30.
منشور في 2025الموضوعات: -
8
-
9
-
10
Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
منشور في 2025"…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …"
-
11
-
12
-
13
Classification performance after optimization.
منشور في 2025"…The proposed approach integrates binary feature selection and metaheuristic optimization into a unified optimization process, effectively balancing exploration and exploitation to handle complex, high-dimensional datasets. …"
-
14
ANOVA test for optimization results.
منشور في 2025"…The proposed approach integrates binary feature selection and metaheuristic optimization into a unified optimization process, effectively balancing exploration and exploitation to handle complex, high-dimensional datasets. …"
-
15
Wilcoxon test results for optimization.
منشور في 2025"…The proposed approach integrates binary feature selection and metaheuristic optimization into a unified optimization process, effectively balancing exploration and exploitation to handle complex, high-dimensional datasets. …"
-
16
-
17
-
18
-
19
-
20