يعرض 621 - 640 نتائج من 1,455 نتيجة بحث عن '(( learning ((nn decrease) OR (a decrease)) ) OR ( ct ((values decrease) OR (largest decrease)) ))', وقت الاستعلام: 0.64s تنقيح النتائج
  1. 621

    Image7_Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellula... حسب Huipeng Fang (12587509)

    منشور في 2024
    "…Background<p>Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. …"
  2. 622

    Table1_Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellula... حسب Huipeng Fang (12587509)

    منشور في 2024
    "…Background<p>Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. …"
  3. 623

    Image3_Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellula... حسب Huipeng Fang (12587509)

    منشور في 2024
    "…Background<p>Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. …"
  4. 624

    Image5_Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellula... حسب Huipeng Fang (12587509)

    منشور في 2024
    "…Background<p>Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. …"
  5. 625

    Image10_Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellul... حسب Huipeng Fang (12587509)

    منشور في 2024
    "…Background<p>Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. …"
  6. 626

    Data Sheet 1_Decoding the hypoxia-exosome-immune triad in OSA: PRCP/UCHL1/BTG2-driven metabolic dysregulation revealed by interpretable machine learning.zip حسب Weilong Ye (12984647)

    منشور في 2025
    "…OSA is associated with a reproducible transcriptional signature characterized by increased PRCP and UCHL1 expression and decreased BTG2 expression.…"
  7. 627
  8. 628
  9. 629

    Domains of NoCs. حسب Gizachew Tadele Tiruneh (8407686)

    منشور في 2025
    "…The <i>"Improve Primary Health Care Service Delivery (IPHCSD)"</i> project, implemented by JSI and Amref Health Africa since April 2022, seeks to address these gaps through a Networks of Care (NoCs) approach. This paper describes the lessons learned from implementing the NoCs approach to optimize primary health care in Ethiopia.…"
  10. 630
  11. 631

    Experimental setup under ablation experiments. حسب Long Di (9977453)

    منشور في 2025
    "…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …"
  12. 632

    Obstacle uniform linear motion scenarios. حسب Long Di (9977453)

    منشور في 2025
    "…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …"
  13. 633

    Analysis of the tangential force of the obstacle. حسب Long Di (9977453)

    منشور في 2025
    "…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …"
  14. 634

    Table of values for <i>p.</i> حسب Long Di (9977453)

    منشور في 2025
    "…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …"
  15. 635

    Static obstacle avoidance scene setup. حسب Long Di (9977453)

    منشور في 2025
    "…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …"
  16. 636

    Overview of our approach. حسب Carlos A. Gomez-Uribe (21492788)

    منشور في 2025
    "…<p>(A) Pipeline for directed evolution with machine learning using our proposed fitness prediction model and optimizer. …"
  17. 637

    The schematic diagram of the region <i>O</i><sub>1</sub>. حسب Long Di (9977453)

    منشور في 2025
    "…<div><p>Ensuring that a robot employing demonstration learning models can simultaneously achieve accurate trajectory tracking of demonstrated paths and effective avoidance of moving obstacles in dynamic environments remains a critical research challenge. …"
  18. 638

    Testing set error. حسب Xiangjuan Liu (618000)

    منشور في 2025
    "…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. …"
  19. 639

    Internal structure of an LSTM cell. حسب Xiangjuan Liu (618000)

    منشور في 2025
    "…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. …"
  20. 640

    Prediction effect of each model after STL. حسب Xiangjuan Liu (618000)

    منشور في 2025
    "…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. …"