Showing 161 - 180 results of 2,444 for search '(((( algorithm within function ) OR ( algorithm pca function ))) OR ( algorithm python function ))*', query time: 2.17s Refine Results
  1. 161

    The SSIM for the different algorithms. by Bingbing Li (461702)

    Published 2024
    “…Unlike traditional threshold functions, the improved threshold function is a continuous function that can avoid the pseudo Gibbs effect after image denoising and improve image quality. …”
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    LF and SP optimum values using the PSOGSAHO algorithm. by Nada Ahmed Ezz-Eldien (17396553)

    Published 2023
    Subjects: “…gravitational search algorithm…”
  4. 164

    Detailed information of benchmark functions. by Guangwei Liu (181992)

    Published 2024
    “…In Case 1, the GJO-GWO algorithm addressed eight complex benchmark functions. …”
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    Hierarchical sparse functional principal component analysis for multistage multivariate profile data by Kai Wang (21246)

    Published 2020
    “…The proposed HSMFPCA employs the regression-type reformulation of the PCA and the reparameterization of the entries of eigenvectors, and enjoys an efficient optimization algorithm in high-dimensional settings. …”
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    Algorithm parameter levels. by Peng Yao (448155)

    Published 2024
    “…Alternatively, the formulated objective functions often deviate from real-world scenarios. …”
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    Parselmouth for bioacoustics: automated acoustic analysis in Python by Yannick Jadoul (11498813)

    Published 2023
    “…Five years ago, the Python package Parselmouth was released to provide easy and intuitive access to all functionality in the Praat software. …”
  17. 177

    Comparison of different algorithms. by Dawei Wang (471687)

    Published 2025
    “…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …”
  18. 178

    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

    Published 2024
    “…Whiskers show the lowest and highest values within 1.5 × <i>IQR</i> from the first and third quartiles, respectively. …”
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