يعرض 1 - 20 نتائج من 468 نتيجة بحث عن '(( python _ implementation ) OR ( ((python models) OR (python code)) representing ))', وقت الاستعلام: 0.45s تنقيح النتائج
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    SCADET algorithm parameter configuration (Python implementation). حسب Xiaolong Zhang (470454)

    منشور في 2025
    "…<p>SCADET algorithm parameter configuration (Python implementation).</p>…"
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    Python implementation of a wildfire propagation example using m:n-CAk over Z and R. حسب Pau Fonseca i Casas (9507338)

    منشور في 2025
    "…</p><p dir="ltr"><br></p><p dir="ltr">## Files in the Project</p><p dir="ltr"><br></p><p dir="ltr">### Python Scripts</p><p dir="ltr">- **Wildfire_on_m_n-CAk.py**: This file contains the main code for the fire cellular automaton. …"
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    Python code for hierarchical cluster analysis of detected R-strategies from rule-based NLP on 500 circular economy definitions حسب Zahir Barahmand (18008947)

    منشور في 2025
    "…</p><p dir="ltr">This Python code was optimized and debugged using ChatGPT-4o to ensure implementation efficiency, accuracy, and clarity.…"
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    Comparison of performance between our next reaction implementation and the Python library from Ref. [3]. حسب Samuel Cure (22250922)

    منشور في 2025
    "…<p>We simulate SIR epidemic processes on Watts-Strogatz networks with parameters <i>k</i><sub>0</sub> = 5, <i>p</i> = 0.1 <b>(a)</b> and Barabási-Albert networks with parameter <i>m</i> = 5 <b>(b)</b> using the Python wrapper of our C++ implementation and compare its performance with the Python library from Ref. …"
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    Multi-Version PYZ Builder Script: A Universal Python Module Creation Tool حسب Pavel Izosimov (20096259)

    منشور في 2024
    "…This tool represents a significant advancement in the realm of <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>secure code sharing</b></a>, providing a robust solution for modern Python programming challenges.…"
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    Resolving Harvesting Errors in Institutional Repository Migration : Using Python Scripts with VS Code and LLM Integration. حسب satoshi hashimoto(橋本 郷史) (18851272)

    منشور في 2025
    "…Therefore, we decided to create a dedicated Python program using Large Language Model (LLM)-assisted coding.…"
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    City-level GDP estimates for China under alternative pathways from 2020 to 2100-python code حسب Jinjie Sun (11791715)

    منشور في 2025
    "…The dataset is complemented by processing code and raw input data in the "Python_Code" directory to ensure full reproducibility. …"
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    System Hardware ID Generator Script: A Cross-Platform Hardware Identification Tool حسب Pavel Izosimov (20096259)

    منشور في 2024
    "…This tool provides <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank">code obfuscation in Python</a> and <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank">Python code encryption</a>, enabling developers to <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank">protect Python code</a> effectively.…"
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    Code program. حسب Honglei Pang (22693724)

    منشور في 2025
    "…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …"
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    PTPC-UHT bounce حسب David Parry (22169299)

    منشور في 2025
    "…<br>It contains the full Python implementation of the PTPC bounce model (<code>PTPC_UHT_bounce.py</code>) and representative outputs used to generate the figures in the paper. …"
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    Python Implementation of HSGAdviser Chatbot: AI model for Sustainable Education حسب Suha Assayed (22454038)

    منشور في 2025
    "…<p dir="ltr">This repository contains the Python source code and model implementation for HSGAdviser, an AI speech assistant designed to provide personalized college and career guidance for high school students through conversational AI. …"
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    Code interpreter with LLM. حسب Jin Lu (428513)

    منشور في 2025
    "…We evaluated our proposed system on five educational datasets—AI2_ARC, OpenBookQA, E-EVAL, TQA, and ScienceQA—which represent diverse question types and domains. Compared to vanilla Large Language Models (LLMs), our approach combining Retrieval-Augmented Generation (RAG) with Code Interpreters achieved an average accuracy improvement of 10−15 percentage points. …"
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