Showing 1 - 20 results of 432 for search '(( cases mean decrease ) OR ( ai ((large decrease) OR (marked decrease)) ))', query time: 0.51s Refine Results
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    Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

    Published 2025
    “…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”
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    Regression for case (2). by Zulqurnain Sabir (12269556)

    Published 2025
    “…</p><p>Method</p><p>A Runge-Kutta solver is applied to collect the dataset, which decreases the mean square error by dividing into training as 78%, testing 12% and verification 10%. …”
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    Regression for case (3). by Zulqurnain Sabir (12269556)

    Published 2025
    “…</p><p>Method</p><p>A Runge-Kutta solver is applied to collect the dataset, which decreases the mean square error by dividing into training as 78%, testing 12% and verification 10%. …”
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    Regression for case (1). by Zulqurnain Sabir (12269556)

    Published 2025
    “…</p><p>Method</p><p>A Runge-Kutta solver is applied to collect the dataset, which decreases the mean square error by dividing into training as 78%, testing 12% and verification 10%. …”
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    Mean TTC under different weights. by Jianrong Cai (14245136)

    Published 2024
    “…Safety performance is evaluated using Time-to-Collision (TTC) and speed standard deviation (SD) metrics. Case study results show a significant decrease in SD as the CAV penetration rate increases, with a 58.38% reduction from 0% to 100%. …”
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