يعرض 1 - 20 نتائج من 5,345 نتيجة بحث عن '(((( cloud teer decrease ) OR ( _ ((cnn decrease) OR (mean decrease)) ))) OR ( ai large decrease ))', وقت الاستعلام: 0.72s تنقيح النتائج
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    CNN Model Architecture. حسب Mudhafar Jalil Jassim Ghrabat (22177655)

    منشور في 2025
    الموضوعات:
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    Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx حسب Rasita Vinay (21006911)

    منشور في 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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    CM-DWM-EC chart using 30% decrease in the mean for the E(KeV). حسب Shumaila Nisar (20114256)

    منشور في 2024
    "…<p>CM-DWM-EC chart using 30% decrease in the mean for the E(KeV).</p>…"
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    Marginal means – Pooled across scenarios. حسب Mehdi Mourali (10170245)

    منشور في 2025
    "…A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"
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    CNN framework. حسب Sajid Mehmood (6689843)

    منشور في 2025
    "…We propose to implement both MLP (Multilayer Perceptron) and CNN (Convolutional Neural Networks) based on conventional methods to detect the Denial of Services (DDoS) attack. …"
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    CNN frameworks. حسب Sajid Mehmood (6689843)

    منشور في 2025
    "…We propose to implement both MLP (Multilayer Perceptron) and CNN (Convolutional Neural Networks) based on conventional methods to detect the Denial of Services (DDoS) attack. …"
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    CNN model. حسب Longfei Gao (698900)

    منشور في 2025
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    Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest. حسب Helal El-Zaatari (20442243)

    منشور في 2025
    "…<p>Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest.…"