بدائل البحث:
code presented » model presented (توسيع البحث), side presented (توسيع البحث), order presented (توسيع البحث)
python results » method results (توسيع البحث)
code presented » model presented (توسيع البحث), side presented (توسيع البحث), order presented (توسيع البحث)
python results » method results (توسيع البحث)
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Using Docker images to promote cross-language (Python, R) collaboration across diverse user platforms for cloud computing
منشور في 2025"…Toolchain installation presents a major barrier to learning new languages (e.g., R to Python). …"
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Resolving Harvesting Errors in Institutional Repository Migration : Using Python Scripts with VS Code and LLM Integration.
منشور في 2025"…</li></ul><h3>Result</h3><ul><li>The initial instructions yielded Python code with approx. 70-80% completion.…"
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Real-Time Optical Imaging Acquisition and Processing in Python: A Practical Guide Using CAS: Code Repository
منشور في 2025"…This is included to allow direct verification of the results of the paper, for new applications using CAS it is recommended to download the latest version from http://www.github.com/MikeHughesKent/CAS</p><p dir="ltr">Python code was tested with:</p><p dir="ltr">Python v3.10.14 </p><p dir="ltr">Scipy v1.13.1</p><p dir="ltr">Numpy 1.26.4</p><p dir="ltr">OpenCV 4.9.0.80</p><p><br></p><p dir="ltr">Requirements for CAS are listed in requirements.txt within the zip.…"
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TQA experimental results.
منشور في 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. …"
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2D Orthogonal Planes Split: <b>Python</b> and <b>MATLAB</b> code | <b>Source Images</b> for Figures
منشور في 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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Statistical significance test results.
منشور في 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. …"
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E-EVAL experimental results.
منشور في 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. …"
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ScienceQA experimental results.
منشور في 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. …"
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OpenBookQA experimental results.
منشور في 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. …"
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AI2_ARC experimental results.
منشور في 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. …"
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Supplementary data for PCI-based pavement modelling: code, presentation, and additional analysis
منشور في 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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Optimizing Neuronal Calcium Flux Analysis: A Python Framework for Alzheimer's and TBI Studies
منشور في 2025"…<p dir="ltr">This study presents a Python-based framework for analyzing calcium flux in cortical neurons, particularly in the context of Alzheimer’s disease and traumatic brain injury (TBI). …"
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Catalogue of compact radio sources in Messier-82 from e-MERLIN observations
منشور في 2025"…Source finding was initially performed using Python Blob Detection and Source Finder (PyBDSF).</p><p dir="ltr">The dataset includes two tables detailing the properties of these 36 sources:</p><p dir="ltr"><b>Table 3.1: CASA </b><code><strong>imfit</strong></code><b> Source Catalogue</b></p><p dir="ltr">This table contains source parameters derived using the CASA task <code>imfit</code>. …"