Showing 1 - 20 results of 6,098 for search '(( _ values decrease ) OR ((( _ knn decrease ) OR ( ai ((large decrease) OR (larger decrease)) ))))', query time: 0.54s Refine Results
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    AI KRegression by CHIN-CHENG CHU (20718575)

    Published 2025
    “…<p dir="ltr">The single-axis Sample Entropy (X-axis) only slightly decreased from 0.095 ± 0.054 to 0.080 ± 0.048 (p = 0.025*), and the Y-axis also only decreased from 0.106 ± 0.046 to 0.090 ± 0.043 (p = 0.025*), indicating that the complexity changes in a single direction are limited. …”
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    Hybrid imputation of missing values using KNN on MEWMA-based adaptive process control by Yijun Jiang (1852231)

    Published 2025
    “…When dealing with data fluctuation, we assign a higher weight to the KNN method for its sensitivity, while the EWMA method is preferred for stationary data. …”
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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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    List of network connections predictive of individual SoF values, together with their β weights, in decreasing order. by Yinan Xu (12440894)

    Published 2025
    “…<p>List of network connections predictive of individual SoF values, together with their β weights, in decreasing order.…”
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    HRV Values. by Burhan Demirkıran (21601740)

    Published 2025
    “…Body fat percentage values, initially measured during training cessation, were recorded at 2-week intervals during the training period. …”
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    A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

    Published 2025
    “…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. …”
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