Search alternatives:
based optimization » whale optimization (Expand Search)
phase optimization » whale optimization (Expand Search), path optimization (Expand Search), dose optimization (Expand Search)
binary imaging » binary image (Expand Search)
imaging based » image based (Expand Search), imaging mass (Expand Search)
binary test » binary depot (Expand Search)
test phase » test case (Expand Search)
based optimization » whale optimization (Expand Search)
phase optimization » whale optimization (Expand Search), path optimization (Expand Search), dose optimization (Expand Search)
binary imaging » binary image (Expand Search)
imaging based » image based (Expand Search), imaging mass (Expand Search)
binary test » binary depot (Expand Search)
test phase » test case (Expand Search)
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ANOVA test for optimization results.
Published 2025“…We applied this hybrid strategy to a Radial Basis Function Network (RBFN), and validated its performance improvements through extensive experiments, including ANOVA and Wilcoxon tests for both feature selection and optimization phases. …”
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Wilcoxon test results for optimization.
Published 2025“…We applied this hybrid strategy to a Radial Basis Function Network (RBFN), and validated its performance improvements through extensive experiments, including ANOVA and Wilcoxon tests for both feature selection and optimization phases. …”
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ANOVA test for feature selection.
Published 2025“…We applied this hybrid strategy to a Radial Basis Function Network (RBFN), and validated its performance improvements through extensive experiments, including ANOVA and Wilcoxon tests for both feature selection and optimization phases. …”
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Wilcoxon test results for feature selection.
Published 2025“…We applied this hybrid strategy to a Radial Basis Function Network (RBFN), and validated its performance improvements through extensive experiments, including ANOVA and Wilcoxon tests for both feature selection and optimization phases. …”
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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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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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Classification performance after optimization.
Published 2025“…We applied this hybrid strategy to a Radial Basis Function Network (RBFN), and validated its performance improvements through extensive experiments, including ANOVA and Wilcoxon tests for both feature selection and optimization phases. …”
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