يعرض 21 - 40 نتائج من 241 نتيجة بحث عن '(( python time implementation ) OR ( ((python model) OR (python code)) representing ))', وقت الاستعلام: 0.48s تنقيح النتائج
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    E-EVAL experimental results. 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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    TQA Accuracy Comparison Chart on different 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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    ScienceQA experimental results. 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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    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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    Secure Python Code Manager: A Tool for Protected Python Code Distribution and Management حسب Pavel Izosimov (20096259)

    منشور في 2024
    "…</li><li><b>Commercial Distribution</b>: Safely share Python code with clients or customers, implementing advanced <b>Python code protection tools</b> for sales or rentals.…"
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    Prediction accuracy analysis over time steps. حسب Mohanad Faeq Ali (21354273)

    منشور في 2025
    "…The recurrent networks, specifically Long Short Term Memory (LSTM), process data from healthcare devices, identifying abnormal patterns that indicate potential cyberattacks over time. The created system was implemented using Python, and various metrics, including false positive and false negative rates, accuracy, precision, recall, and computational efficiency, were used for evaluation. …"
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