يعرض 1 - 20 نتائج من 10,478 نتيجة بحث عن '(( significance testing decrease ) OR ( significantly ((we decrease) OR (linear decrease)) ))*', وقت الاستعلام: 0.56s تنقيح النتائج
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    Significant condition. حسب Junxia Zhou (14381598)

    منشور في 2024
    الموضوعات:
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    Linear contact model. حسب Qingwen Li (1510687)

    منشور في 2025
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    Test soil parameters. حسب Yonggang Huang (223155)

    منشور في 2025
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    Test plan. حسب Hongqi Wang (2208238)

    منشور في 2024
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    Test instrument. حسب Hongqi Wang (2208238)

    منشور في 2024
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    The results of linear mixed model. حسب Soheila Qanbari (20455173)

    منشور في 2024
    الموضوعات:
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    Rock mechanics testing machine. حسب Dengke Yang (842532)

    منشور في 2025
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    Balance test results. حسب Le Zhu (1771669)

    منشور في 2025
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    Results of robustness tests. حسب Le Zhu (1771669)

    منشور في 2025
    الموضوعات:
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    Development of a CRISPR/Cas-Based Detection Platform for Tracking Decreased Susceptibility to Cephalosporins in Neisseria gonorrheae حسب Ziyuan Zhao (2889005)

    منشور في 2025
    "…Developing efficient and accurate detection of resistant strains is urgently needed for their management and treatment. We have developed the Multiplex Integrated RPA-CRISPR/Cas12a detection Assay (MIRCA) for simultaneous detection of Neisseria gonorrheae (<i>Ng</i>) and mutations with decreased susceptibility to cephalosporins. …"
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    STL Linear Combination Forecast Graph. حسب Xiangjuan Liu (618000)

    منشور في 2025
    "…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. Finally, the Beluga Whale Optimization (BWO)-tuned STL-PCA-BWO-BiLSTM hybrid model delivered optimal performance on test sets (RMSE = 0.22, MAE = 0.16, MAPE = 0.99%, ), exhibiting 40.7% higher accuracy than unoptimized BiLSTM (MAE = 0.27). …"
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