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Showing 1 - 3 results of 3 for search 'learning vector (quantization OR quantitative) networks', query time: 0.08s Refine Results
  1. 1
    Competitive learning/reflected residual vector quantization for coding angiogram images

    Competitive learning/reflected residual vector quantization for coding angiogram images by Mourn, W.A.H.

    Published 2003
    “…RRVQ, which is a lossy compression scheme, was introduced as an alternative design algorithm for residual vector quantization (RVQ) structure (a structure famous for providing progressive quantization). …”
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  2. 2
    Artificial neural networks for predicting the performance of novice CAD users based on their profiled technical attributes

    Artificial neural networks for predicting the performance of novice CAD users based on their profiled technical attributes by Ammouri, A.H.

    Published 2017
    “…This paper utilizes Artificial Neural Networks (ANN) to forecast the mechanical CAD performance of novice trainees involved in formal training. …”
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  3. 3
    Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks

    Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks by Najam Us Sahar Riyaz (22927843)

    Published 2025
    “…<p dir="ltr">Machine learning (ML) frameworks are transforming the development of corrosion inhibitors by enabling quantitative prediction of inhibition efficiency before synthesis. …”
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