بدائل البحث:
models optimization » model optimization (توسيع البحث), process optimization (توسيع البحث), wolf optimization (توسيع البحث)
active optimization » acid optimization (توسيع البحث), objective optimization (توسيع البحث), reaction optimization (توسيع البحث)
library based » laboratory based (توسيع البحث)
binary mixed » linear mixed (توسيع البحث)
mixed models » mixed model (توسيع البحث), based models (توسيع البحث)
based active » based practice (توسيع البحث), based activity (توسيع البحث)
models optimization » model optimization (توسيع البحث), process optimization (توسيع البحث), wolf optimization (توسيع البحث)
active optimization » acid optimization (توسيع البحث), objective optimization (توسيع البحث), reaction optimization (توسيع البحث)
library based » laboratory based (توسيع البحث)
binary mixed » linear mixed (توسيع البحث)
mixed models » mixed model (توسيع البحث), based models (توسيع البحث)
based active » based practice (توسيع البحث), based activity (توسيع البحث)
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RosettaAMRLD: A Reaction-Driven Approach for Structure-Based Drug Design from Combinatorial Libraries with Monte Carlo Metropolis Algorithms
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
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
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
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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FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology
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
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
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
منشور في 2024"…Ultimately, the study advocates for the synergy of physics-based methods and ML to expedite the lead optimization process. …"