Showing 21 - 40 results of 56 for search '(( binary class wolf optimization algorithm ) OR ( primary clusters based optimization algorithm ))', query time: 0.32s Refine Results
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    Fig 8 - by Sandeep Yerrathi (17775761)

    Published 2024
    Subjects:
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    Fig 6 - by Sandeep Yerrathi (17775761)

    Published 2024
    Subjects:
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    The robustness test results of the model. by Xini Fang (20861990)

    Published 2025
    “…<div><p>To enhance the accuracy and response speed of the risk early warning system, this study develops a novel early warning system that combines the Fuzzy C-Means (FCM) clustering algorithm and the Random Forest (RF) model. …”
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    Construction process of RF. by Xini Fang (20861990)

    Published 2025
    “…<div><p>To enhance the accuracy and response speed of the risk early warning system, this study develops a novel early warning system that combines the Fuzzy C-Means (FCM) clustering algorithm and the Random Forest (RF) model. …”
  9. 29

    Colors with different number of clusters. by Xin Han (1329648)

    Published 2023
    “…Based on K-Means clustering model, we identified the colors of the architectural elements in the street view. …”
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    Table1_An integrated framework for UAV-based precision plant protection in complex terrain: the ACHAGA solution for multi-tea fields.xlsx by Pengyang Zhang (11256688)

    Published 2024
    “…The method involves two primary steps: cluster partitioning and sortie allocation for multiple tea fields based on UAV range capabilities, followed by refining the UAV’s flight path using a combination of hyperbolic genetic and simulated annealing algorithms with an adaptive temperature control mechanism. …”
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    Table2_An integrated framework for UAV-based precision plant protection in complex terrain: the ACHAGA solution for multi-tea fields.docx by Pengyang Zhang (11256688)

    Published 2024
    “…The method involves two primary steps: cluster partitioning and sortie allocation for multiple tea fields based on UAV range capabilities, followed by refining the UAV’s flight path using a combination of hyperbolic genetic and simulated annealing algorithms with an adaptive temperature control mechanism. …”
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    DataSheet1_An integrated framework for UAV-based precision plant protection in complex terrain: the ACHAGA solution for multi-tea fields.zip by Pengyang Zhang (11256688)

    Published 2024
    “…The method involves two primary steps: cluster partitioning and sortie allocation for multiple tea fields based on UAV range capabilities, followed by refining the UAV’s flight path using a combination of hyperbolic genetic and simulated annealing algorithms with an adaptive temperature control mechanism. …”
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    DataSheet3_An integrated framework for UAV-based precision plant protection in complex terrain: the ACHAGA solution for multi-tea fields.zip by Pengyang Zhang (11256688)

    Published 2024
    “…The method involves two primary steps: cluster partitioning and sortie allocation for multiple tea fields based on UAV range capabilities, followed by refining the UAV’s flight path using a combination of hyperbolic genetic and simulated annealing algorithms with an adaptive temperature control mechanism. …”
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    DataSheet2_An integrated framework for UAV-based precision plant protection in complex terrain: the ACHAGA solution for multi-tea fields.zip by Pengyang Zhang (11256688)

    Published 2024
    “…The method involves two primary steps: cluster partitioning and sortie allocation for multiple tea fields based on UAV range capabilities, followed by refining the UAV’s flight path using a combination of hyperbolic genetic and simulated annealing algorithms with an adaptive temperature control mechanism. …”
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    DataSheet4_An integrated framework for UAV-based precision plant protection in complex terrain: the ACHAGA solution for multi-tea fields.zip by Pengyang Zhang (11256688)

    Published 2024
    “…The method involves two primary steps: cluster partitioning and sortie allocation for multiple tea fields based on UAV range capabilities, followed by refining the UAV’s flight path using a combination of hyperbolic genetic and simulated annealing algorithms with an adaptive temperature control mechanism. …”
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    primary mouse RT single cell RNA-seq by Mamy ANDRIANTERANAGNA (12913196)

    Published 2023
    “…The threshold of the minimum number of detected genes was set as the 5th percentile of the distribution of the number of detected genes in all cells while the maximum proportion of mitochondrial genes were set by visual inspection of the plot of the number of detected genes versus the percentage of mitochondrial gene of each sample.scRNA-seq data integration was performed using the CCA-based implemented in Seurat version 3. The clustering was conducted using the graph-based modularity optimization Louvain algorithm implemented in Seurat v3. …”
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    All online review text data. by Yuandi Jiang (16540833)

    Published 2025
    “…Based on the comprehensive perspective of typology and spatio-temporal dynamic evolution, this study not only provides empirical support for museum space optimization, but also provides new ideas and strategies for functional research and methodological insights of public spaces.…”