يعرض 61 - 80 نتائج من 2,929 نتيجة بحث عن '(( algorithms thyroid function ) OR ( ((algorithm python) OR (algorithm both)) function ))', وقت الاستعلام: 0.44s تنقيح النتائج
  1. 61

    Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures. حسب Kevin Sawade (16726527)

    منشور في 2023
    "…However, our algorithm was 1000 times faster than pyROSETTA (both algorithms have been parallelized on a per-structure basis using the Python package joblib [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010531#pcbi.1010531.ref069" target="_blank">69</a>]).…"
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    Continuous Probability Distributions generated by the PIPE Algorithm حسب LUIS G.B. PINHO (14073372)

    منشور في 2022
    "…The PIPE algorithm can generate several candidate functions to fit the empirical distribution of data. …"
  9. 69

    Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional حسب Ryan Stocks (16867476)

    منشور في 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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    The pseudocode for the NAFPSO algorithm. حسب Huichao Guo (14515171)

    منشور في 2025
    "…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"
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    PSO algorithm flowchart. حسب Huichao Guo (14515171)

    منشور في 2025
    "…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"
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    Parselmouth for bioacoustics: automated acoustic analysis in Python حسب Yannick Jadoul (11498813)

    منشور في 2023
    "…Five years ago, the Python package Parselmouth was released to provide easy and intuitive access to all functionality in the Praat software. …"
  15. 75

    Prediction performance of different optimization algorithms. حسب Ali-Kemal Aydin (10968731)

    منشور في 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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    Comparison of different algorithms. حسب Dawei Wang (471687)

    منشور في 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. …"
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    Study proposed algorithm. حسب Ainhoa Pérez-Guerrero (21377457)

    منشور في 2025
    "…The index of microvascular resistance (IMR) is a specific physiological parameter used to assess microvascular function. Invasive coronary assessment has been shown to be both feasible and safe. …"
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