يعرض 1 - 20 نتائج من 33 نتيجة بحث عن '(( binary mixed models optimization algorithm ) OR ( library based active optimization algorithm ))', وقت الاستعلام: 0.51s تنقيح النتائج
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    RosettaAMRLD: A Reaction-Driven Approach for Structure-Based Drug Design from Combinatorial Libraries with Monte Carlo Metropolis Algorithms حسب Yidan Tang (6623693)

    منشور في 2025
    "…The Rosetta automated Monte Carlo reaction-based ligand design (RosettaAMRLD) integrates a Monte Carlo Metropolis (MCM) algorithm and reaction-driven molecule proposal to enhance structure-based <i>de novo</i> drug discovery. …"
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    Solubility Prediction of Different Forms of Pharmaceuticals in Single and Mixed Solvents Using Symmetric Electrolyte Nonrandom Two-Liquid Segment Activity Coefficient Model حسب Getachew S. Molla (6416744)

    منشور في 2019
    "…A particle swarm optimization algorithm is incorporated to preregress conceptual segment parameters of solutes. …"
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    Seed mix selection model حسب Bethanne Bruninga-Socolar (10923639)

    منشور في 2022
    "…</p> <p>  </p> <p>We applied the seed mix selection model using a binary genetic algorithm to select seed mixes (R package ‘GA’; Scrucca 2013; Scrucca 2017). …"
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    Data_Sheet_1_A real-time driver fatigue identification method based on GA-GRNN.ZIP حسب Xiaoyuan Wang (492534)

    منشور في 2022
    "…<p>It is of great practical and theoretical significance to identify driver fatigue state in real time and accurately and provide active safety warning in time. In this paper, a non-invasive and low-cost method of fatigue driving state identification based on genetic algorithm optimization of generalized regression neural network model is proposed. …"
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    RFB structure. حسب Yan Liu (25061)

    منشور في 2024
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    Attention module. حسب Yan Liu (25061)

    منشور في 2024
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    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

    منشور في 2024
    "…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …"
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    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

    منشور في 2024
    "…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …"
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    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

    منشور في 2024
    "…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …"
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    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

    منشور في 2024
    "…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …"