يعرض 1 - 20 نتائج من 9,706 نتيجة بحث عن '(( element method algorithm ) OR ((( data modeling algorithm ) OR ( solved learning algorithm ))))', وقت الاستعلام: 0.47s تنقيح النتائج
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    Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

    منشور في 2024
    "…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
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    Spatial spectrum estimation for three algorithms. حسب Chuanxi Xing (20141665)

    منشور في 2024
    "…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
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    Scatter diagram of different principal elements. حسب Jizhong Wang (7441697)

    منشور في 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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    Flowchart of the RIR algorithm. حسب Jiamin Hu (8972420)

    منشور في 2024
    "…By leveraging optimal control theory, we propose an iterative algorithm to solve the problem, numerically obtaining the learned time-varying parameters and a repair strategy. …"
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    Model’s measure methods. حسب Songsong Wang (8088293)

    منشور في 2025
    الموضوعات: "…necessitating extensive data…"
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    Element model generation method with geometric distribution errors حسب Yiqi Liu (21357815)

    منشور في 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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    The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

    منشور في 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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    Comparison of algorithm performance aesults. حسب Chunjuan Li (7890182)

    منشور في 2025
    "…Therefore, An Algorithm for Heterogeneous Federated Knowledge Graph (HFKG) is proposed to solve this problem by limiting model drift through comparative learning. …"
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