يعرض 21 - 40 نتائج من 243 نتيجة بحث عن '(( python practical implementation ) OR ( python model implementing ))', وقت الاستعلام: 0.30s تنقيح النتائج
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    Survey Dataset and Python Code for Preprocessing, Statistical Tests حسب Mohammed Nurudeen (11071551)

    منشور في 2025
    "…Supporting figures and tables are available in the repository</p><p dir="ltr">Data processing was implemented in Python 3.11 and attached are all the python scripts used for preprocessing , and statistical Analysis and also the questionnaire used for the study.…"
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    Python code for a rule-based NLP model for mapping circular economy indicators to SDGs حسب Zahir Barahmand (18008947)

    منشور في 2025
    "…The package includes:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…"
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    Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence" حسب Yifei Gu (9507104)

    منشور في 2025
    "…</p><p dir="ltr">Secondly, at the population level, deep learning (DL) models were benchmarked to inform the best practices in quantifying distribution patterns of intertidal mussels over large spatial scales. …"
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    Cost functions implemented in Neuroptimus. حسب Máté Mohácsi (20469514)

    منشور في 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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    Performance Benchmark: SBMLNetwork vs. SBMLDiagrams Auto-layout. حسب Adel Heydarabadipour (22290905)

    منشور في 2025
    "…<p>Log–log plot of median wall-clock time for SBMLNetwork’s C++-based auto-layout engine (blue circles, solid fit) and SBMLDiagrams’ implementation of the pure-Python NetworkX spring_layout algorithm (red squares, dashed fit), applied to synthetic SBML models containing 20–2,000 species, with a fixed 4:1 species-to-reaction ratio. …"
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    BSTPP: a python package for Bayesian spatiotemporal point processes حسب Isaac Manring (20705955)

    منشور في 2025
    "…However, they are sometimes neglected due to the difficulty of implementing them. There is a lack of packages with the ability to perform inference for these models, particularly in python. …"
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