يعرض 1 - 20 نتائج من 10,617 نتيجة بحث عن '(( data using algorithms ) OR ((( develop new algorithms ) OR ( element method algorithm ))))', وقت الاستعلام: 0.63s 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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    Assignment of Hungarian Algorithm. حسب Yibin Zhang (1426579)

    منشور في 2025
    "…In this paper, a new tracking mechanism is proposed for real-time tracking, which is based on the 2D LiDAR data structure with the Simple Online and Real-Time Tracking (SORT) algorithm. …"
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    Improve algorithm settings. حسب Hui Zhao (7395)

    منشور في 2025
    الموضوعات:
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    Comparison of algorithm performance aesults. حسب Chunjuan Li (7890182)

    منشور في 2025
    "…The training of the knowledge graph embedding model is similar to that of many models, which requires a large amount of data for learning to achieve the purpose of model development. …"
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    Overview of the C&CG method. حسب Tianhe Sun (21145341)

    منشور في 2025
    الموضوعات:
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    Algorithms runtime comparison. حسب Meilin Zhu (688698)

    منشور في 2025
    "…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …"
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    bppMigration-algorithms-data.tgz حسب Ziheng Yang (22169779)

    منشور في 2025
    "…The new algorithms reduce the run-time of MCMC analyses by 3 to 8 fold and improve the mixing efficiency by up to 50 fold for representative empirical datasets.…"
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    Training process of HFKG-RFE algorithm. حسب Chunjuan Li (7890182)

    منشور في 2025
    "…The training of the knowledge graph embedding model is similar to that of many models, which requires a large amount of data for learning to achieve the purpose of model development. …"
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    Solution results of different algorithms. حسب Meilin Zhu (688698)

    منشور في 2025
    "…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …"
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