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algorithm showing » algorithm shows (Expand Search), algorithms using (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
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181
Appreciating News Algorithms: Examining Audiences’ Perceptions to Different News Selection Mechanisms
Published 2021“…Audience characteristics, such as news information overload and concerns towards missing challenging viewpoints, explain how audiences evaluate the different news selection mechanisms. We discuss how these results align with concerns about selectivity and how news algorithms can be used to tackle these concerns. …”
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182
Optimized process of the random forest algorithm.
Published 2023“…Subsequently, a training model based on the random forest classification algorithm is constructed, and the model is optimized using two parameters, Mtry and Ntree. …”
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Variable selection procedure using the Boruta algorithm.
Published 2025“…<p>Variable selection procedure using the Boruta algorithm.</p>…”
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Selection using the final case ascertainment algorithm.
Published 2019“…<p>Selection using the final case ascertainment algorithm.…”
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MODELING OF ROOFS FROM POINT CLOUDS USING GENETIC ALGORITHMS
Published 2020“…The present work aimed to model roofs only from point clouds using genetic algorithms (GAs) to develop a more automatized and efficient method. …”
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192
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General procedural flow of clustering algorithm.
Published 2024“…The results show that AVOCA outperforms state-of-the-art algorithms in generating optimal clusters.…”
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Performance of models by different algorithms.
Published 2025“…</p><p>Conclusion</p><p>The prediction model developed using the XGBoost algorithm and the 12 selected features demonstrates high efficiency and stability in assessing MASLD risk. …”
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195
Experimental results of NSGA-II for the tag SNPs selection using random initialization.
Published 2022Subjects: “…objective evolutionary algorithms…”
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Experimental results of MOEA/D for the tag SNPs selection using random initialization.
Published 2022Subjects: “…objective evolutionary algorithms…”
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Experimental results of NSGA-III for the tag SNPs selection using random initialization.
Published 2022Subjects: “…objective evolutionary algorithms…”
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Experimental results of SPEA2 for the tag SNPs selection using random initialization.
Published 2022Subjects: “…objective evolutionary algorithms…”
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199
Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
Published 2025“…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …”
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<b>Opti2Phase</b>: Python scripts for two-stage focal reducer
Published 2025“…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…”