Showing 81 - 100 results of 293 for search '(( ((python model) OR (python code)) implementation ) OR ( python xlink implementing ))', query time: 0.33s Refine Results
  1. 81

    Exploring the integration of metaverse technologies in engineering education through the SAMR model by Snezhana Dineva (22444471)

    Published 2025
    “…The final deliverable is a plan for phased integration of metaverse learning into a Python programming course following this model, building on existing best practices.…”
  2. 82

    2D Orthogonal Planes Split: <b>Python</b> and <b>MATLAB</b> code | <b>Source Images</b> for Figures by Nektarios Valous (20715650)

    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.…”
  3. 83

    EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

    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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    The format of the electrode csv file by Joseph James Tharayil (21416715)

    Published 2025
    “…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …”
  6. 86

    The format of the simulation reports by Joseph James Tharayil (21416715)

    Published 2025
    “…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …”
  7. 87

    Comparison of BlueRecording with existing tools by Joseph James Tharayil (21416715)

    Published 2025
    “…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …”
  8. 88

    The format of the weights file by Joseph James Tharayil (21416715)

    Published 2025
    “…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …”
  9. 89
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    ZILLNB_Model by Qinhuan Luo (21288548)

    Published 2025
    “…<p dir="ltr">Acquire latent variables using deep-learning based model implemented in python</p>…”
  11. 91

    Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

    Published 2024
    “…To address these issues, we developed a generic platform (called Neuroptimus) that allows users to set up neural parameter optimization tasks via a graphical interface, and to solve these tasks using a wide selection of state-of-the-art parameter search methods implemented by five different Python packages. Neuroptimus also offers several features to support more advanced usage, including the ability to run most algorithms in parallel, which allows it to take advantage of high-performance computing architectures. …”
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  16. 96

    Number of tweets collected over time. by Sylvia Iasulaitis (8301189)

    Published 2025
    “…Python algorithms were developed to model each primary collection type. …”
  17. 97

    Descriptive measures of the dataset. by Sylvia Iasulaitis (8301189)

    Published 2025
    “…Python algorithms were developed to model each primary collection type. …”
  18. 98

    Corpora from the articles in order of size. by Sylvia Iasulaitis (8301189)

    Published 2025
    “…Python algorithms were developed to model each primary collection type. …”
  19. 99

    Media information. by Sylvia Iasulaitis (8301189)

    Published 2025
    “…Python algorithms were developed to model each primary collection type. …”
  20. 100

    Information from interactions. by Sylvia Iasulaitis (8301189)

    Published 2025
    “…Python algorithms were developed to model each primary collection type. …”