Showing 1 - 20 results of 3,819 for search '(((( elements method algorithm ) OR ( component custom algorithm ))) OR ( level using algorithm ))', query time: 0.61s Refine Results
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    The flowchart of QLDE algorithm. by Guanqun Wang (705958)

    Published 2025
    “…This paper proposes a customer segmentation framework within the realm of digital marketing, which integrates a reinforcement learning-based differential evolution algorithm with <i>K</i>-means clustering using dimensionality reduction techniques to address challenges in the customer segmentation process. …”
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    Schematic diagram of <i>K</i>-means algorithm. by Guanqun Wang (705958)

    Published 2025
    “…This paper proposes a customer segmentation framework within the realm of digital marketing, which integrates a reinforcement learning-based differential evolution algorithm with <i>K</i>-means clustering using dimensionality reduction techniques to address challenges in the customer segmentation process. …”
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    Sanitized databases using MLHProtector algorithm. by Loan T. T. Nguyen (20660789)

    Published 2025
    “…To address this issue, this work suggests two PPUM algorithms, namely <b>MLHProtector</b> and <b>FMLHProtector</b>, to operate at all abstraction levels in a transaction database to protect them from data mining algorithms. …”
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    Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

    Published 2024
    “…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”
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    The proportion of different customer categories. by Guanqun Wang (705958)

    Published 2025
    “…This paper proposes a customer segmentation framework within the realm of digital marketing, which integrates a reinforcement learning-based differential evolution algorithm with <i>K</i>-means clustering using dimensionality reduction techniques to address challenges in the customer segmentation process. …”