Showing 1 - 20 results of 12,985 for search '(((( algorithm lung function ) OR ( algorithm 1 function ))) OR ( algorithm both function ))', query time: 0.42s Refine Results
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    The algorithm is designed to identify patterns in the treatment dataset. by Belén Otero-Carrasco (21262360)

    Published 2025
    “…<p>This process involves two key functions. First, from lines 1 to 8, the algorithm identifies amino acids that meet the occurrence threshold, starting with patterns of length 1. …”
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    The ALO algorithm optimization flowchart. by Wenjing Wang (181404)

    Published 2024
    “…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …”
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    The IALO algorithm solution flowchart. by Wenjing Wang (181404)

    Published 2024
    “…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …”
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    Continuous Probability Distributions generated by the PIPE Algorithm by LUIS G.B. PINHO (14073372)

    Published 2022
    “…The PIPE algorithm can generate several candidate functions to fit the empirical distribution of data. …”
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    Study proposed algorithm. by Ainhoa Pérez-Guerrero (21377457)

    Published 2025
    Subjects: “…assess microvascular function…”
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    Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional by Ryan Stocks (16867476)

    Published 2025
    “…Kohn–Sham density functional theory (KS-DFT) has become a cornerstone for studying the electronic structure of molecules and materials. …”
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    Convergent curves of EOSA and related optimization algorithms benchmark functions over 1, 50, 100, 200, 300, 400 and 500 epochs. by Tehnan I. A. Mohamed (16846175)

    Published 2023
    “…<p>Convergent curves of EOSA and related optimization algorithms benchmark functions over 1, 50, 100, 200, 300, 400 and 500 epochs.…”
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    F1-scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

    Published 2025
    “…Empirical evaluations conducted on multiple benchmark datasets demonstrate that the proposed method outperforms classical anomaly detection algorithms while surpassing conventional model averaging techniques based on minimizing standard loss functions. …”
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    Prediction performance of different optimization algorithms. by Ali-Kemal Aydin (10968731)

    Published 2021
    “…<p>(A) 3 algorithms were compared in terms of the residuals of the cost function of the optimized TF on 7 mice datasets (Derivative free algorithm failed in optimizing a TF in a mouse). …”
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