Search alternatives:
feature optimization » resource optimization (Expand Search), feature elimination (Expand Search), structure optimization (Expand Search)
based optimization » whale optimization (Expand Search)
primary risk » primary aim (Expand Search), primary role (Expand Search)
rate feature » crater features (Expand Search), state features (Expand Search), latent feature (Expand Search)
binary rate » binary data (Expand Search), binary image (Expand Search)
feature optimization » resource optimization (Expand Search), feature elimination (Expand Search), structure optimization (Expand Search)
based optimization » whale optimization (Expand Search)
primary risk » primary aim (Expand Search), primary role (Expand Search)
rate feature » crater features (Expand Search), state features (Expand Search), latent feature (Expand Search)
binary rate » binary data (Expand Search), binary image (Expand Search)
-
1
-
2
-
3
-
4
-
5
-
6
-
7
-
8
-
9
Feature selection results.
Published 2025“…Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …”
-
10
-
11
Routing policy based on path satisfaction.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
-
12
-
13
Flowchart of simple ant colony algorithm.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
-
14
Changes of risk value under different parameters.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
-
15
-
16
Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
Published 2025“…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”
-
17
Classification baseline performance.
Published 2025“…Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …”
-
18
ANOVA test result.
Published 2025“…Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …”
-
19
Summary of literature review.
Published 2025“…Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …”
-
20