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against function » against extinction (Expand Search), against infection (Expand Search)
algorithm python » algorithms within (Expand Search), algorithm both (Expand Search)
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Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information.
Published 2024“…<p>(A), (B) Algorithm performance, evaluated over 50 simulated datasets generated as described in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012590#pcbi.1012590.g001" target="_blank">Fig 1</a> with <i>N</i> = 3 true groups, 900 samples and 10% simulated measurement noise. …”
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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.…”
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Multimodal reference functions.
Published 2025“…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …”
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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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The convergence curves of the test functions.
Published 2025“…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …”
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Single-peaked reference functions.
Published 2025“…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …”
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Test results of multimodal benchmark functions.
Published 2025“…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …”
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Fixed-dimensional multimodal reference functions.
Published 2025“…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …”
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Test results of multimodal benchmark functions.
Published 2025“…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …”
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EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit
Published 2025“…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …”
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FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz
Published 2025Subjects: -
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