يعرض 1 - 20 نتائج من 10,059 نتيجة بحث عن '(( elements method algorithm ) OR ((( data using algorithm ) OR ( care testing algorithm ))))', وقت الاستعلام: 0.67s تنقيح النتائج
  1. 1

    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
    "…<div><p>A fault diagnosis method for oil immersed transformers based on principal component analysis and SSA LightGBM is proposed to address the problem of low diagnostic accuracy caused by the complexity of current oil immersed transformer faults. Firstly, data on dissolved gases in oil is collected, and a 17 dimensional fault feature matrix is constructed using the uncoded ratio method. …"
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    The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

    منشور في 2025
    "…These methods are tested on both real and synthetic data, with the former taken from a network of air quality monitoring stations across California. …"
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    D4 Training with noise—Testing with noise. حسب Hao Zhang (15339)

    منشور في 2025
    "…Firstly, the log parsing algorithm is used to parse the logs. Then, the feature extraction algorithm, which combines Long Short-Term Memory and Autoencoder-Decoder, is applied to extract features. …"
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    D3 training with noise—Testing without noise. حسب Hao Zhang (15339)

    منشور في 2025
    "…Firstly, the log parsing algorithm is used to parse the logs. Then, the feature extraction algorithm, which combines Long Short-Term Memory and Autoencoder-Decoder, is applied to extract features. …"
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    D2 training without noise—Testing with noise. حسب Hao Zhang (15339)

    منشور في 2025
    "…Firstly, the log parsing algorithm is used to parse the logs. Then, the feature extraction algorithm, which combines Long Short-Term Memory and Autoencoder-Decoder, is applied to extract features. …"