يعرض 1 - 20 نتائج من 9,798 نتيجة بحث عن '(( element method algorithm ) OR ((( data linked algorithm ) OR ( data models algorithm ))))', وقت الاستعلام: 0.67s تنقيح النتائج
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    Algorithm framework. حسب Zongjin Li (38031)

    منشور في 2025
    الموضوعات:
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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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    Model’s measure methods. حسب Songsong Wang (8088293)

    منشور في 2025
    الموضوعات: "…necessitating extensive 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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    Confusion Matrix for the Hybrid algorithms. حسب Faten Al-hussein (20707521)

    منشور في 2025
    "…Medical records from 3,000 King Abdulaziz University Hospital patients containing demographic, lifestyle, and lipid profile data were used to develop the models. For the first time, we utilized recommended machine learning algorithms to develop hybrid prediction models to reduce the number of significant KPIs while enhancing HbA1c prediction accuracy. …"
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