Search alternatives:
quality optimization » policy optimization (Expand Search), whale optimization (Expand Search), path optimization (Expand Search)
based optimization » whale optimization (Expand Search)
based quality » care quality (Expand Search), seed quality (Expand Search), bone quality (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
primary aim » primary care (Expand Search), primary data (Expand Search)
aim based » ai based (Expand Search), bim based (Expand Search), aom based (Expand Search)
quality optimization » policy optimization (Expand Search), whale optimization (Expand Search), path optimization (Expand Search)
based optimization » whale optimization (Expand Search)
based quality » care quality (Expand Search), seed quality (Expand Search), bone quality (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
primary aim » primary care (Expand Search), primary data (Expand Search)
aim based » ai based (Expand Search), bim based (Expand Search), aom based (Expand Search)
-
1
-
2
Routing policy based on path satisfaction.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
-
3
Flowchart of simple ant colony algorithm.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
-
4
Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement
Published 2019“…The primary aim of this study was to demonstrate the computational benefits of using AD instead of FD in OpenSim-based trajectory optimization of human movement. …”
-
5
-
6
QSAR model for predicting neuraminidase inhibitors of influenza A viruses (H1N1) based on adaptive grasshopper optimization algorithm
Published 2020“…Obtaining a reliable QSAR model with few descriptors is an essential procedure in chemometrics. The binary grasshopper optimization algorithm (BGOA) is a new meta-heuristic optimization algorithm, which has been used successfully to perform feature selection. …”
-
7
-
8
Business priorities.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
-
9
Topology of 14-node communication network.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
-
10
Changes of risk value under different parameters.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
-
11
Performance of active and standby paths.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
-
12
DATA.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
-
13
ROC curve for binary classification.
Published 2024“…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”
-
14
Confusion matrix for binary classification.
Published 2024“…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”
-
15
Datasets and their properties.
Published 2023“…However, the underlying deficiency of the single binary optimizer is transferred to the quality of the features selected. …”
-
16
Parameter settings.
Published 2023“…However, the underlying deficiency of the single binary optimizer is transferred to the quality of the features selected. …”
-
17
Fig 9 -
Published 2023“…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …”
-
18
Predictive performance indicators.
Published 2023“…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …”
-
19
Fig 8 -
Published 2023“…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …”
-
20
GBO procedure.
Published 2023“…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …”