Search alternatives:
process optimization » model optimization (Expand Search)
based optimization » whale optimization (Expand Search)
base process » based process (Expand Search), phase process (Expand Search), basic process (Expand Search)
binary base » binary mask (Expand Search), ciliary base (Expand Search), binary image (Expand Search)
tasks based » task based (Expand Search), cases based (Expand Search)
process optimization » model optimization (Expand Search)
based optimization » whale optimization (Expand Search)
base process » based process (Expand Search), phase process (Expand Search), basic process (Expand Search)
binary base » binary mask (Expand Search), ciliary base (Expand Search), binary image (Expand Search)
tasks based » task based (Expand Search), cases based (Expand Search)
-
21
IRBMO vs. feature selection algorithm boxplot.
Published 2025“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
-
22
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. …”
-
23
Process flow diagram of CBFD.
Published 2024“…<div><p>Feature description is a critical task in Augmented Reality Tracking. This article introduces a Convex Based Feature Descriptor (CBFD) system designed to withstand rotation, lighting, and blur variations while remaining computationally efficient. …”
-
24
Analysis and design of algorithms for the manufacturing process of integrated circuits
Published 2023“…The (approximate) solution proposals of state-of-the-art methods include rule-based approaches, genetic algorithms, and reinforcement learning. …”
-
25
-
26
-
27
-
28
-
29
-
30
-
31
Medium-scale dataset comparative analysis using the number of features selected.
Published 2023Subjects: -
32
-
33
Large-scale dataset comparative analysis using the number of features selected.
Published 2023Subjects: -
34
-
35
-
36
-
37
-
38
-
39
-
40