يعرض 381 - 400 نتائج من 21,342 نتيجة بحث عن '(( significance ((tests decrease) OR (teer decrease)) ) OR ( significant decrease decrease ))', وقت الاستعلام: 0.55s تنقيح النتائج
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    Test specimen. حسب Quan Shen (37564)

    منشور في 2025
    الموضوعات:
  4. 384
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  6. 386

    Test apparatus. حسب Sara Hintze (3216885)

    منشور في 2024
    الموضوعات:
  7. 387

    Sample balance test. حسب Yanling Li (269030)

    منشور في 2025
    الموضوعات:
  8. 388

    Robustness test results. حسب Yanling Li (269030)

    منشور في 2025
    الموضوعات:
  9. 389

    Parameters of the sliding wear test. حسب Huashen Guan (20454677)

    منشور في 2024
    الموضوعات:
  10. 390

    Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. حسب Gillian P. McHugo (8965919)

    منشور في 2025
    "…<p>Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts.…"
  11. 391

    Nineteen SNPs with significant association (<i>P < </i>5 × 10<sup>−8</sup>) with risk on minJSW decrease in knee OA. حسب Mieke L. M. Bentvelzen (21594442)

    منشور في 2025
    "…<p>Nineteen SNPs with significant association (<i>P < </i>5 × 10<sup>−8</sup>) with risk on minJSW decrease in knee OA.…"
  12. 392

    Data Sheet 1_Elevated relative humidity significantly decreases cannabinoid concentrations while delaying flowering development in Cannabis sativa L..docx حسب Ingrid Carolina Corredor-Perilla (22631510)

    منشور في 2025
    "…Furthermore, high RH significantly suppressed cannabinoid accumulation: cannabidiolic acid (CBD-A), cannabidiol (CBD), and cannabichromenic acid (CBC-A) levels decreased by approximately 4.9-fold, 3.2-fold, and 13-fold, respectively. …"
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    Testing set error. 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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