Search alternatives:
based optimization » whale optimization (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)
based optimization » whale optimization (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)
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Routing policy based on path satisfaction.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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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. …”
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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. …”
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A* Path-Finding Algorithm to Determine Cell Connections
Published 2025“…Pixel paths were classified using a z-score brightness threshold of 1.21, optimized for noise reduction and accuracy. The A* algorithm then evaluated connectivity by minimizing Euclidean distance and heuristic cost between cells. …”
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Flowchart of simple ant colony algorithm.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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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. …”
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Dataset 1: Zip file containing the figures of the presented methods and results in jpeg files
Published 2025“…<p dir="ltr">Figures represented here illustrates the <b>metaheuristic-based band selection framework</b> for hyperspectral image classification using <b>Binary Jaya Algorithm enhanced with a mutation operator</b> to improve population diversity and avoid premature convergence. …”
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Business priorities.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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Topology of 14-node communication network.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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Changes of risk value under different parameters.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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15
Performance of active and standby paths.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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DATA.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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A new fast filtering algorithm for a 3D point cloud based on RGB-D information
Published 2019“…Then, the optimal segmentation threshold of the V image that is calculated by using the Otsu algorithm is applied to segment the color mapping image into a binary image, which is used to extract the valid point cloud from the original point cloud with outliers. …”
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Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment
Published 2019“…<div><p>An image classification algorithm based on adaptive feature weight updating is proposed to address the low classification accuracy of the current single-feature classification algorithms and simple multifeature fusion algorithms. …”
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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. …”
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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. …”