Showing 1 - 20 results of 35 for search '(( binary task driven optimization algorithm ) OR ( primary data robust estimation algorithm ))', query time: 0.56s Refine Results
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    Reported active cases data in Saudi Arabia. by Lamia Alyami (19225955)

    Published 2024
    “…By integrating our proposed methodology, these models can consistently generate predictions closely aligned with the observed data on active cases and deaths. This framework, implemented within the EKF algorithm, offers a robust tool for addressing future, unknown pandemics. …”
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    A fast algorithm for the accelerated failure time model with high-dimensional time-to-event data by Taehwa Choi (10880618)

    Published 2021
    “…Application to primary biliary cirrhosis (PBC) data demonstrates the utility of the proposed method in routine survival data analysis.…”
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    Data used to drive the Double Layer Carbon Model in the Qinling Mountains. by Huiwen Li (17705280)

    Published 2024
    “…It also incorporates climate change responses, adjust decomposition rates based on climate and environmental changes, and lead to robust estimates under different climatic scenarios. …”
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    Educational attainment and cardiovascular disease in the United States: A quasi-experimental instrumental variables analysis by Rita Hamad (736165)

    Published 2019
    “…While most findings were cross-validated across both data sets, they were not robust to the inclusion of state fixed effects. …”
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    A hybrid approach for enhanced tree volume estimation of complex trees using terrestrial LiDAR by Moonis Ali (20926904)

    Published 2025
    “…The consistent residuals and an R<sup>2</sup> value of 0.94 across a diverse dataset underscore the robustness of TreeQSM. Additionally, TreeQSM’s built-in noise filtering algorithm enhances its adaptability to noisy data, achieving a significant reduction in MAPD from 51.7% to 12.05% in datasets affected by noise. …”
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    Thesis-RAMIS-Figs_Slides by Felipe Santibañez-Leal (10967991)

    Published 2024
    “…In the context of facies recovery using simulations, the task of optimal sampling is formalized and addressed using a maximum information extraction criterion. …”
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    Data Sheet 1_TDE-3: an improved prior for optical flow computation in spiking neural networks.pdf by Matthew Yedutenko (5142461)

    Published 2025
    “…<p>Motion detection is a primary task required for robotic systems to perceive and navigate in their environment. …”
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    Table_4_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLSX by Hui Tang (226667)

    Published 2019
    “…Reducing noise pollution to data and ensuring the extracted intrinsic patterns in concordance with the primary data structure are important in sample clustering and classification. …”
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    Table_2_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.XLSX by Hui Tang (226667)

    Published 2019
    “…Reducing noise pollution to data and ensuring the extracted intrinsic patterns in concordance with the primary data structure are important in sample clustering and classification. …”
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    Table_1_High-Order Correlation Integration for Single-Cell or Bulk RNA-seq Data Analysis.docx by Hui Tang (226667)

    Published 2019
    “…Reducing noise pollution to data and ensuring the extracted intrinsic patterns in concordance with the primary data structure are important in sample clustering and classification. …”