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Showing 1 - 17 results of 17 for search '(((("component _ algorithm") OR ("elements cc3d algorithm"))) OR ("neural coding algorithm"))', query time: 0.31s Refine Results
  1. 1
    Topographic map of the Central China. The filled red triangles represent the lightning sensors within the domain. Elevation data obtained from NASA's Shuttle Radar Topography Mission (SRTM).

    Topographic map of the Central China. The filled red triangles represent the lightning sensors within the domain. Elevation data obtained from NASA's Shuttle Radar Topography Missi... by Manxing Shi (22367181)

    Published 2025
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  2. 2
    Similar to Fig 10, but for 0100–0400 BJT (Beijing Time) on 17 July 2015.

    Similar to Fig 10, but for 0100–0400 BJT (Beijing Time) on 17 July 2015. by Manxing Shi (22367181)

    Published 2025
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  3. 3
    Similar to Fig 7, but for the year 2014.

    Similar to Fig 7, but for the year 2014. by Manxing Shi (22367181)

    Published 2025
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  4. 4
    Sample lightning stroke data.

    Sample lightning stroke data. by Manxing Shi (22367181)

    Published 2025
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  5. 5
    The proposed adaptive clustering algorithm determines the optimal distance parameters for two lightning events, <i>p</i><sub>1</sub> and <i>p</i><sub>2</sub>.

    The proposed adaptive clustering algorithm determines the optimal distance parameters for two lightning events, <i>p</i><sub>1</sub> and <i>p</i><sub>2</sub>. by Manxing Shi (22367181)

    Published 2025
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  6. 6
    A multi-scale spatiotemporal neighborhood-based approach for identifying lightning clusters.

    A multi-scale spatiotemporal neighborhood-based approach for identifying lightning clusters. by Manxing Shi (22367181)

    Published 2025
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  7. 7
    Workflow for determining adaptive clustering parameters.

    Workflow for determining adaptive clustering parameters. by Manxing Shi (22367181)

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  8. 8
    Similar to Fig 7, but for the year 2015.

    Similar to Fig 7, but for the year 2015. by Manxing Shi (22367181)

    Published 2025
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  9. 9
    Monthly counts of lightning strokes and grid clusters and the proportion of grid clusters with more than 500 strokes during 2013–2015.

    Monthly counts of lightning strokes and grid clusters and the proportion of grid clusters with more than 500 strokes during 2013–2015. by Manxing Shi (22367181)

    Published 2025
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  10. 10
    Fine-scale identification results of lightning clusters in the study area during 2013–2015 using adaptive-parameter spatiotemporal clustering (CSCAP) and fixed-parameter spatiotemporal clustering (CSCGP) methods.

    Fine-scale identification results of lightning clusters in the study area during 2013–2015 using adaptive-parameter spatiotemporal clustering (CSCAP) and fixed-parameter spatiotemp... by Manxing Shi (22367181)

    Published 2025
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  11. 11
    Two representative subsets of (A) high-flash-rate and (B) low-flash-rate lightning data identified by the CC3D algorithm.

    Two representative subsets of (A) high-flash-rate and (B) low-flash-rate lightning data identified by the CC3D algorithm. by Manxing Shi (22367181)

    Published 2025
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  12. 12
    Hierarchical relationships among key terms used in this study.

    Hierarchical relationships among key terms used in this study. by Manxing Shi (22367181)

    Published 2025
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  13. 13
    Thunderstorm clouds were identified and extracted by the CSCAP algorithm from 0000–0600 BJT (Beijing Time) on 29 May 2015.

    Thunderstorm clouds were identified and extracted by the CSCAP algorithm from 0000–0600 BJT (Beijing Time) on 29 May 2015. by Manxing Shi (22367181)

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  14. 14
    Statistical properties of high-flash-rate (≥500 lightning strokes) grid clusters identified in 2013 within the study region: (A) Spatial distribution of cluster centroids; (B, C) Probability distribution functions (PDFs) of the number of grids per cluster and the number of lightning strokes per grid, respectively.

    Statistical properties of high-flash-rate (≥500 lightning strokes) grid clusters identified in 2013 within the study region: (A) Spatial distribution of cluster centroids; (B, C) P... by Manxing Shi (22367181)

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  15. 15
    Summary of key parameters used in the CSCAP algorithm.

    Summary of key parameters used in the CSCAP algorithm. by Manxing Shi (22367181)

    Published 2025
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  16. 16
    Distribution of (A) temporal difference set (DistT) and (B) spatial distance set (DistS) values by sample number, for the lightning data subset (Fig 3(B)) identified by the CC3D algorithm on 22 March 2015.

    Distribution of (A) temporal difference set (DistT) and (B) spatial distance set (DistS) values by sample number, for the lightning data subset (Fig 3(B)) identified by the CC3D al... by Manxing Shi (22367181)

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  17. 17
    Enrichment analysis and hub gene screening.

    Enrichment analysis and hub gene screening. by Yi Zhang (9093)

    Published 2024
    “…Red to yellow indicates that genes rank from high to low in the interaction network, with <i>ACTN2</i> being the highest-ranking gene identified via the maximum neighborhood component algorithm. Abbreviation: BP, Biological Process; CC, Cellular Component; MF, molecular function.…”
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