يعرض 121 - 140 نتائج من 322 نتيجة بحث عن '(( python practical application ) OR ( ((python model) OR (python code)) implementation ))', وقت الاستعلام: 0.38s تنقيح النتائج
  1. 121

    Recall analysis. حسب Mohanad Faeq Ali (21354273)

    منشور في 2025
    الموضوعات:
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  3. 123

    Analysis of IoMT data sources. حسب Mohanad Faeq Ali (21354273)

    منشور في 2025
    الموضوعات:
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  5. 125

    <b> </b> Precision analysis. حسب Mohanad Faeq Ali (21354273)

    منشور في 2025
    الموضوعات:
  6. 126

    Convergence rate analysis. حسب Mohanad Faeq Ali (21354273)

    منشور في 2025
    الموضوعات:
  7. 127

    Computational efficiency. حسب Mohanad Faeq Ali (21354273)

    منشور في 2025
    الموضوعات:
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  14. 134

    The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" حسب FirstName LastName (20554465)

    منشور في 2025
    "…</li><li>The <b>CIPrediction</b> folder contains model training code.</li><li>The <b>ParallelComputation</b> folder contains geographic computation code.…"
  15. 135

    The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" حسب FirstName LastName (20554465)

    منشور في 2025
    "…</li><li>The <b>CIPrediction</b> folder contains model training code.</li><li>The <b>ParallelComputation</b> folder contains geographic computation code.…"
  16. 136

    Data and code for: Automatic fish scale analysis حسب Christian Vogelmann (21646472)

    منشور في 2025
    "…</p><h3>Includeed in this repository:</h3><ul><li><b>Raw data files:</b></li><li><code>comparison_all_scales.csv</code> – comparison_all_scales.csv - manually verified vs. automated measurements of 1095 coregonid scales</li></ul><ul><li><ul><li><code>Validation_data.csv</code> – manually measured scale data under binocular</li><li><code>Parameter_correction_numeric.csv</code> – calibration data (scale radius vs. fish length/weight)</li></ul></li><li><b>Statistical results:</b></li><li><ul><li><code>comparison_stats_core_variables.csv</code> – verification statistics (bias, relative error, limits of agreement)</li><li><code>Validation_statistics.csv</code> – summary statistics and model fits (manual vs. automated)</li></ul></li><li><b>Executable script (not GUI):</b></li><li><ul><li><code>Algorithm.py</code> – core processing module for scale feature extraction<br>→ <i>Note: The complete Coregon Analyzer application (incl. …"
  17. 137

    Expanding Access to Advanced Scientific Workflows: The NSF Unidata Science Gateway Leverages Innovative Capabilities of the NSF Jetstream2 Cloud for Atmospheric Science Education حسب Julien Chastang (640650)

    منشور في 2025
    "…</p><p><br></p><p dir="ltr">This presentation will highlight two case studies that demonstrate the practical applications of our advanced computational tools. …"
  18. 138

    Testing Code for JcvPCA and JsvCRP. حسب Océane Dubois (21989812)

    منشور في 2025
    "…<p>This file contains the code that implements both metrics in python and apply them on a simulated dataset.…"
  19. 139

    Workflow of a typical Epydemix run. حسب Nicolò Gozzi (8837522)

    منشور في 2025
    "…<div><p>We present Epydemix, an open-source Python package for the development and calibration of stochastic compartmental epidemic models. …"
  20. 140

    A free tutorial book from NSF Cybertraining C2D: Cybertraining for Chemical Data scientists حسب Xiangliang Zhang (19460047)

    منشور في 2025
    "…In Chapter 2, we guide chemists through setting up a Python environment tailored for data science applications in chemistry. …"