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"image processing algorithm" » "image modeling algorithm" (Expand Search), "image routing algorithm" (Expand Search), "image tracking algorithm" (Expand Search)
"element data algorithm" » "element data algorithms" (Expand Search), "element update algorithm" (Expand Search), "element atlas algorithm" (Expand Search), "settlement data algorithm" (Expand Search), "relevant data algorithm" (Expand Search), "movement data algorithm" (Expand Search)
"_ processing algorithm" » "_ modeling algorithm" (Expand Search), "_ routing algorithm" (Expand Search), "_ tracking algorithm" (Expand Search), "_ process algorithm" (Expand Search)
"image processing algorithm" » "image modeling algorithm" (Expand Search), "image routing algorithm" (Expand Search), "image tracking algorithm" (Expand Search)
"element data algorithm" » "element data algorithms" (Expand Search), "element update algorithm" (Expand Search), "element atlas algorithm" (Expand Search), "settlement data algorithm" (Expand Search), "relevant data algorithm" (Expand Search), "movement data algorithm" (Expand Search)
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Image processing algorithm.
Published 2025“…<p>This Matlab file contains all code used to run the image processing algorithm described in Sect <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013425#sec004" target="_blank">2.2</a>.…”
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LENA ASP validation for adult and child segments (Meera et al., 2025)
Published 2025Subjects: “…automated speech processing algorithm labels…”
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Effects of processing rate and algorithms performance on estimates of biodiversity.
Published 2025Subjects: -
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Network sizes (nodes and links) and popularity/economic size at 10 and 90th quantiles are used for the X popularity while from d-portal has been inferred the node economic size. The corresponding fitted Exponential coefficient shows that - according to the distribution of the nodes’ sizes - it is the economic size that prevails in comparison with the X popularity in the link formation of the network. The two networks (X popularity and economic size) can have a different level of overlap sitting in the interval 20–40%. To discover common nodes in both networks it is used a natural language processing algorithm that assesses the similarity of node names by computing string distance [21]....
Published 2025“…To discover common nodes in both networks it is used a natural language processing algorithm that assesses the similarity of node names by computing string distance [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0330538#pone.0330538.ref021" target="_blank">21</a>]. …”
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PorosV3
Published 2025“…<p dir="ltr">Image-processing algorithm in MATLAB (2013a, The MathWorks, Inc., Natick, Massachusetts, USA) that automatically detects and quantifies pores in SEM images and measures their mean sectional area (i.e., size in μm²). …”
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Data for firebrands generated from selected structural fuels: Joint Fire Science Program project (15-1-04-4)
Published 2025“…Following that, an automated image processing algorithm using MATLAB was developed and employed to measure firebrand projected area. …”
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System for evaluation of gait parameters.
Published 2025“…Each sensor measured three-dimensional linear and rotational acceleration. Using a post-processing algorithm, acceleration data were used to calculate spatiotemporal gait parameters.…”