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Showing 81 - 100 results of 149 for search '(( lines based process optimization algorithm ) OR ( binary image scale optimization algorithm ))', query time: 0.82s Refine Results
  1. 81
    Comparison of city decoders trained on session one and session two data.

    Comparison of city decoders trained on session one and session two data. by Sam Hall-McMaster (10343795)

    Published 2025
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  2. 82
    Validation tests of feature decoding during the associative memory paradigm.

    Validation tests of feature decoding during the associative memory paradigm. by Sam Hall-McMaster (10343795)

    Published 2025
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  3. 83
    Dual UHPLC-HRMS Metabolomics and Lipidomics and Automated Data Processing Workflow for Comprehensive High-Throughput Gut Phenotyping

    Dual UHPLC-HRMS Metabolomics and Lipidomics and Automated Data Processing Workflow for Comprehensive High-Throughput Gut Phenotyping by P. Vangeenderhuysen (15854812)

    Published 2023
    “…To automate targeted processing, we optimized an R-based targeted peak extraction (TaPEx) algorithm relying on a database comprising retention time and mass-to-charge ratio (360 metabolites and 132 lipids), with batch-specific quality control curation. …”
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  4. 84
    Validation of image processing steps and metric results using images of a microfluidic device.

    Validation of image processing steps and metric results using images of a microfluidic device. by Gavrielle R. Untracht (11820311)

    Published 2021
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  5. 85
    Portiloop implementation.

    Portiloop implementation. by Nicolas Valenchon (13281855)

    Published 2022
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  6. 86
    Human expert versus automated processing: Running dataset.

    Human expert versus automated processing: Running dataset. by Keenon Werling (17512156)

    Published 2023
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  7. 87
    tUbenet Foundation Model Weights

    tUbenet Foundation Model Weights by Natalie Holroyd (7099391)

    Published 2025
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  8. 88
    SV detection workflow.

    SV detection workflow. by De-Min Duan (20685513)

    Published 2025
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  9. 89
    Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment

    Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment by Jianfang Cao (1881379)

    Published 2019
    “…The MapReduce parallel programming model on the Hadoop platform is used to perform an adaptive fusion of hue, local binary pattern (LBP) and scale-invariant feature transform (SIFT) features extracted from images to derive optimal combinations of weights. …”
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  10. 90
    A. Top – 14 days of continuous glucose monitor (CGM) data for a patient that spends all of their time within an optimal glucose range.

    A. Top – 14 days of continuous glucose monitor (CGM) data for a patient that spends all of their time within an optimal glucose range. by Jamison H. Burks (21029607)

    Published 2025
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  11. 91
    Reconstruction results of phantom imaging.

    Reconstruction results of phantom imaging. by Chi Zhang (9857)

    Published 2019
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  12. 92
    Reconstruction results of a central slice of MPRAGE data at 3T.

    Reconstruction results of a central slice of MPRAGE data at 3T. by Chi Zhang (9857)

    Published 2019
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  13. 93
    Reconstruction results of a central slice of MPRAGE data at 7T.

    Reconstruction results of a central slice of MPRAGE data at 7T. by Chi Zhang (9857)

    Published 2019
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  14. 94
    2DBPP modifications.

    2DBPP modifications. by Andrew Fisher (1673086)

    Published 2024
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  15. 95
    RfaH sequence entropy distributions.

    RfaH sequence entropy distributions. by Lu Hong (399882)

    Published 2024
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  16. 96
    Graphical illustration of sample size estimation for the study protocol.

    Graphical illustration of sample size estimation for the study protocol. by Müge Yalçin (16486563)

    Published 2023
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  17. 97
    Experimental observation of gastruloids and shape quantification using LOCO-EFA.

    Experimental observation of gastruloids and shape quantification using LOCO-EFA. by Martijn A. de Jong (17896732)

    Published 2024
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  18. 98
    Table 1_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.docx

    Table 1_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.docx by Hongwei Li (17402)

    Published 2025
    “…In response to such challenges, we proposed a generalizable navigation line extraction algorithm using classical image processing technologies. …”
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  19. 99
    Table 2_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.docx

    Table 2_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.docx by Hongwei Li (17402)

    Published 2025
    “…In response to such challenges, we proposed a generalizable navigation line extraction algorithm using classical image processing technologies. …”
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  20. 100
    Image 1_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.tif

    Image 1_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.tif by Hongwei Li (17402)

    Published 2025
    “…In response to such challenges, we proposed a generalizable navigation line extraction algorithm using classical image processing technologies. …”
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