Showing 41 - 60 results of 271 for search '(( python practical implementation ) OR ( ((python model) OR (python code)) presented ))', query time: 0.24s Refine Results
  1. 41

    TQA Accuracy Comparison Chart on different LLM. by Jin Lu (428513)

    Published 2025
    “…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”
  2. 42

    ScienceQA experimental results. by Jin Lu (428513)

    Published 2025
    “…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”
  3. 43

    Supplementary data for PCI-based pavement modelling: code, presentation, and additional analysis by Azam Amir (21505033)

    Published 2025
    “…<p dir="ltr"><br>This is data for PCI-based pavement modeling: code, presentation, and analysis :</p><p dir="ltr">· A link to the Python code used in the analysis,</p><p dir="ltr">· Presentation slides summarizing key findings, and</p><p dir="ltr">· Analysis results.…”
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    Is your Open Source Research Community implementing the Diversity Equity and Inclusion (DEI) equivalent of Python 2.6? by Rowland Mosbergen (7533140)

    Published 2025
    “…</p><p dir="ltr">However many DEI strategies fail because they think they are implementing the DEI equivalent of Python 3.13 when they are actually implementing the DEI equivalent of Python 2.6.…”
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    Secure Python Code Manager: A Tool for Protected Python Code Distribution and Management by Pavel Izosimov (20096259)

    Published 2024
    “…</li><li><b>Code Security Best Practices</b>: The tool enforces <b>Python code security best practices</b>, helping you adhere to industry standards for code protection.…”
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    2D Orthogonal Planes Split: <b>Python</b> and <b>MATLAB</b> code | <b>Source Images</b> for Figures by Nektarios Valous (20715650)

    Published 2025
    “…<p dir="ltr">Python scripts, Jupyter notebooks, and MATLAB code demonstrate functionalities such as re-colorization, de-colorization, contrast enhancement, re-staining, and stain separation on test images using the 2D orthogonal planes split. …”
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