Showing 1 - 20 results of 9,693 for search '(( elements method algorithm ) OR ((( data modelling algorithm ) OR ( based sorting algorithms ))))', query time: 0.58s Refine Results
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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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    Spatial spectrum estimation for three algorithms. 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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    Scatter diagram of different principal elements. by Jizhong Wang (7441697)

    Published 2025
    “…The experimental results show that the SSA-LightGBM model proposed in this paper has an average fault diagnosis accuracy of 93.6% after SSA algorithm optimization, which is 3.6% higher than before optimization. …”
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    Element model generation method with geometric distribution errors by Yiqi Liu (21357815)

    Published 2025
    “…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”
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    Model’s measure methods. by Songsong Wang (8088293)

    Published 2025
    Subjects: “…necessitating extensive data…”
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    The run time for each algorithm in seconds. by Edward Antonian (21453161)

    Published 2025
    “…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”
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