Showing 681 - 700 results of 1,319 for search '(( significant decrease decrease ) OR ( significance ((set decrease) OR (a decrease)) ))~', query time: 0.49s Refine Results
  1. 681

    Assembly process of machine recognition form. by Zhe Hu (787283)

    Published 2025
    “…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”
  2. 682

    Process of steel truss incremental launching. by Zhe Hu (787283)

    Published 2025
    “…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”
  3. 683

    CGAN and AutoML stacking device. by Zhe Hu (787283)

    Published 2025
    “…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”
  4. 684

    Comprehensive prediction process of shape errors. by Zhe Hu (787283)

    Published 2025
    “…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”
  5. 685

    Shape error manual calculation process. by Zhe Hu (787283)

    Published 2025
    “…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”
  6. 686

    U-wave estimates versus R-matrix noise variance. by Zhe Hu (787283)

    Published 2025
    “…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”
  7. 687

    Sliding window process. by Zhe Hu (787283)

    Published 2025
    “…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”
  8. 688

    Original record form of error matrix. by Zhe Hu (787283)

    Published 2025
    “…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”
  9. 689

    Form for machine recognition. by Zhe Hu (787283)

    Published 2025
    “…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”
  10. 690

    RMSE versus architectural parameters. by Zhe Hu (787283)

    Published 2025
    “…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”
  11. 691

    Kalman process. by Zhe Hu (787283)

    Published 2025
    “…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”
  12. 692

    Attention mechanism. by Zhe Hu (787283)

    Published 2025
    “…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”
  13. 693

    Shape error measurement results statistics. by Zhe Hu (787283)

    Published 2025
    “…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”
  14. 694

    Presentation 1_A phase 2a double-blind, placebo-controlled, randomized clinical trial evaluating the efficacy and safety of NuGel, a novel topical GPCR19-mediated inflammasome inhi... by Gyeong Ho Baek (21382907)

    Published 2025
    “…</p>Results<p>NuGel (0.3% [Nu0.3] and 0.5% [Nu0.5]) was well-tolerated, with no adverse drug reactions or serious adverse events. Nu0.3 showed a significant decrease in EASI score from baseline (-12.2%, [-30.3%, 5.9%], p = 0.04). …”
  15. 695

    Presentation 3_A phase 2a double-blind, placebo-controlled, randomized clinical trial evaluating the efficacy and safety of NuGel, a novel topical GPCR19-mediated inflammasome inhi... by Gyeong Ho Baek (21382907)

    Published 2025
    “…</p>Results<p>NuGel (0.3% [Nu0.3] and 0.5% [Nu0.5]) was well-tolerated, with no adverse drug reactions or serious adverse events. Nu0.3 showed a significant decrease in EASI score from baseline (-12.2%, [-30.3%, 5.9%], p = 0.04). …”
  16. 696

    Data Sheet 1_A phase 2a double-blind, placebo-controlled, randomized clinical trial evaluating the efficacy and safety of NuGel, a novel topical GPCR19-mediated inflammasome inhibi... by Gyeong Ho Baek (21382907)

    Published 2025
    “…</p>Results<p>NuGel (0.3% [Nu0.3] and 0.5% [Nu0.5]) was well-tolerated, with no adverse drug reactions or serious adverse events. Nu0.3 showed a significant decrease in EASI score from baseline (-12.2%, [-30.3%, 5.9%], p = 0.04). …”
  17. 697

    Data Sheet 2_A phase 2a double-blind, placebo-controlled, randomized clinical trial evaluating the efficacy and safety of NuGel, a novel topical GPCR19-mediated inflammasome inhibi... by Gyeong Ho Baek (21382907)

    Published 2025
    “…</p>Results<p>NuGel (0.3% [Nu0.3] and 0.5% [Nu0.5]) was well-tolerated, with no adverse drug reactions or serious adverse events. Nu0.3 showed a significant decrease in EASI score from baseline (-12.2%, [-30.3%, 5.9%], p = 0.04). …”
  18. 698

    Presentation 2_A phase 2a double-blind, placebo-controlled, randomized clinical trial evaluating the efficacy and safety of NuGel, a novel topical GPCR19-mediated inflammasome inhi... by Gyeong Ho Baek (21382907)

    Published 2025
    “…</p>Results<p>NuGel (0.3% [Nu0.3] and 0.5% [Nu0.5]) was well-tolerated, with no adverse drug reactions or serious adverse events. Nu0.3 showed a significant decrease in EASI score from baseline (-12.2%, [-30.3%, 5.9%], p = 0.04). …”
  19. 699

    Data Sheet 1_The TFRC as a prognostic biomarker and potential therapeutic target in cervical cancer: a preliminary study.docx by Jing Wang (6206297)

    Published 2025
    “…We constructed a nomogram model, TFRC contributed significantly to the prognosis and exhibited good predictive power for the OS and the DSS. …”
  20. 700