Search alternatives:
significant classes » significant clusters (Expand Search), significant changes (Expand Search), significant cause (Expand Search)
classes based » cases based (Expand Search), clusters based (Expand Search), classified based (Expand Search)
main decrease » gain decreased (Expand Search), mean decrease (Expand Search), point decrease (Expand Search)
significant classes » significant clusters (Expand Search), significant changes (Expand Search), significant cause (Expand Search)
classes based » cases based (Expand Search), clusters based (Expand Search), classified based (Expand Search)
main decrease » gain decreased (Expand Search), mean decrease (Expand Search), point decrease (Expand Search)
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500m scale main data of each grid.
Published 2023“…Finally, in the context of scale differences, all types of coupling coordination degrees have significant sensitivity to the spatial scales. A large scale significantly reflects the overall decrease in the coupling coordination degrees from the core to the periphery, while a small scale shows the polycentric pattern characteristics of the urban spatial structure.…”
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1000m scale main data of each grid.
Published 2023“…Finally, in the context of scale differences, all types of coupling coordination degrees have significant sensitivity to the spatial scales. A large scale significantly reflects the overall decrease in the coupling coordination degrees from the core to the periphery, while a small scale shows the polycentric pattern characteristics of the urban spatial structure.…”
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2000m scale main data of each grid.
Published 2023“…Finally, in the context of scale differences, all types of coupling coordination degrees have significant sensitivity to the spatial scales. A large scale significantly reflects the overall decrease in the coupling coordination degrees from the core to the periphery, while a small scale shows the polycentric pattern characteristics of the urban spatial structure.…”
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The ROC of LR for three classes.
Published 2025“…Results demonstrate that the developed appraoch is highly accurate and significantly faster than manual classification, which can dramatically decrease software development time and cost.…”
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The ROC of MNB for three classes.
Published 2025“…Results demonstrate that the developed appraoch is highly accurate and significantly faster than manual classification, which can dramatically decrease software development time and cost.…”
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The ROC of SVM for three classes.
Published 2025“…Results demonstrate that the developed appraoch is highly accurate and significantly faster than manual classification, which can dramatically decrease software development time and cost.…”
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The ROC of RF for three classes.
Published 2025“…Results demonstrate that the developed appraoch is highly accurate and significantly faster than manual classification, which can dramatically decrease software development time and cost.…”
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The ROC of GNB for three classes.
Published 2025“…Results demonstrate that the developed appraoch is highly accurate and significantly faster than manual classification, which can dramatically decrease software development time and cost.…”
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Most significant annotation class for benchmark vs. other genes.
Published 2020“…<p>Most significant single-annotation test (x-axis) for genes with one or more gene-based p-value ≤ 5e-6. …”
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Spectral analysis of the relative abundance record of the main coccolithophore species.
Published 2024Subjects: