Search alternatives:
proof implementation » prior implementations (Expand Search), pilot implementation (Expand Search), pre implementation (Expand Search)
time implementation » _ implementation (Expand Search), policy implementation (Expand Search), effective implementation (Expand Search)
code implementing » model implementing (Expand Search), consider implementing (Expand Search), _ implementing (Expand Search)
proof implementation » prior implementations (Expand Search), pilot implementation (Expand Search), pre implementation (Expand Search)
time implementation » _ implementation (Expand Search), policy implementation (Expand Search), effective implementation (Expand Search)
code implementing » model implementing (Expand Search), consider implementing (Expand Search), _ implementing (Expand Search)
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Python code for hierarchical cluster analysis of detected R-strategies from rule-based NLP on 500 circular economy definitions
Published 2025“…</p><p dir="ltr">This Python code was optimized and debugged using ChatGPT-4o to ensure implementation efficiency, accuracy, and clarity.…”
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Jaxkineticmodel allows for hybridizing kinetic models with neural networks.
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Finites differences python code to solve CH equation with a source term and Comsol routine to solve Brusselator equation in radial domains.
Published 2025“…<p dir="ltr"><b><i>* Cahn-Hilliard simulations *</i></b><br>Finite difference code implementing the modified Cahn Hilliard equation with a forward Euler scheme and the possibility to parallelize the solver using the numba python library.…”
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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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2D Orthogonal Planes Split: <b>Python</b> and <b>MATLAB</b> code | <b>Source Images</b> for Figures
Published 2025“…The output files generated by the code include results from both Python and MATLAB implementations; these output images are provided as validation, demonstrating that both implementations produce matching results.…”
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Prediction accuracy analysis over time steps.
Published 2025“…The recurrent networks, specifically Long Short Term Memory (LSTM), process data from healthcare devices, identifying abnormal patterns that indicate potential cyberattacks over time. The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …”
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Schematic of the approach: This schematic illustrates the entire workflow of the project.
Published 2025Subjects: -
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