Showing 21 - 40 results of 55 for search '(( less based robust optimization algorithm ) OR ( binary basic process optimization algorithm ))*', query time: 0.53s Refine Results
  1. 21

    Flight failure factors. by Yao Hu (3479972)

    Published 2025
    “…It can be summarized that the algorithmic model has good accuracy and robustness. …”
  2. 22

    R flight failure list. by Yao Hu (3479972)

    Published 2025
    “…It can be summarized that the algorithmic model has good accuracy and robustness. …”
  3. 23

    Structure diagram of LSTM cell model. by Yao Hu (3479972)

    Published 2025
    “…It can be summarized that the algorithmic model has good accuracy and robustness. …”
  4. 24

    Intelligent risk assessment model diagram. by Yao Hu (3479972)

    Published 2025
    “…It can be summarized that the algorithmic model has good accuracy and robustness. …”
  5. 25

    Proportion of risk factors. by Yao Hu (3479972)

    Published 2025
    “…It can be summarized that the algorithmic model has good accuracy and robustness. …”
  6. 26

    Proportion of reasons affecting flights. by Yao Hu (3479972)

    Published 2025
    “…It can be summarized that the algorithmic model has good accuracy and robustness. …”
  7. 27

    LSTM model training accuracy verification. by Yao Hu (3479972)

    Published 2025
    “…It can be summarized that the algorithmic model has good accuracy and robustness. …”
  8. 28

    User activity risk standards table. by Yao Hu (3479972)

    Published 2025
    “…It can be summarized that the algorithmic model has good accuracy and robustness. …”
  9. 29

    LSTM hyperparameters. by Yao Hu (3479972)

    Published 2025
    “…It can be summarized that the algorithmic model has good accuracy and robustness. …”
  10. 30

    LSTM model training stability verification. by Yao Hu (3479972)

    Published 2025
    “…It can be summarized that the algorithmic model has good accuracy and robustness. …”
  11. 31

    Weather risk standards. by Yao Hu (3479972)

    Published 2025
    “…It can be summarized that the algorithmic model has good accuracy and robustness. …”
  12. 32

    RNN network topology diagram. by Yao Hu (3479972)

    Published 2025
    “…It can be summarized that the algorithmic model has good accuracy and robustness. …”
  13. 33

    Airport security risk data. by Yao Hu (3479972)

    Published 2025
    “…It can be summarized that the algorithmic model has good accuracy and robustness. …”
  14. 34

    Table 1_Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint.xlsx by Yan Wang (15435)

    Published 2025
    “…This study aimed to develop a personalized drug recommendation model leveraging genomic profiles to optimize therapeutic outcomes.</p>Methods<p>A content-based filtering algorithm was implemented to predict drug sensitivity. …”
  15. 35

    Table 2_Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint.xlsx by Yan Wang (15435)

    Published 2025
    “…This study aimed to develop a personalized drug recommendation model leveraging genomic profiles to optimize therapeutic outcomes.</p>Methods<p>A content-based filtering algorithm was implemented to predict drug sensitivity. …”
  16. 36

    Table 3_Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint.xlsx by Yan Wang (15435)

    Published 2025
    “…This study aimed to develop a personalized drug recommendation model leveraging genomic profiles to optimize therapeutic outcomes.</p>Methods<p>A content-based filtering algorithm was implemented to predict drug sensitivity. …”
  17. 37

    DataSheet_1_CT-Based Radiomics Analysis for Preoperative Diagnosis of Pancreatic Mucinous Cystic Neoplasm and Atypical Serous Cystadenomas.pdf by Tiansong Xie (10959561)

    Published 2021
    “…</p>Results<p>Ten screened optimal features were identified and the Rad-score was then built based on them. …”
  18. 38

    Models and Dataset by M RN (9866504)

    Published 2025
    “…</p><p dir="ltr"><br></p><p dir="ltr"><b>RAO (Rao Optimization Algorithm):</b><br>RAO is a parameter-less optimization algorithm that updates solutions based on simple arithmetic operations involving the best and worst individuals in the population. …”
  19. 39

    Image_13_The Effect of Training Sample Size on the Prediction of White Matter Hyperintensity Volume in a Healthy Population Using BIANCA.JPEG by Niklas Wulms (11928755)

    Published 2022
    “…In this study, we tested whether WMH volumetry with FMRIB software library v6.0 (FSL; https://fsl.fmrib.ox.ac.uk/fsl/fslwiki) Brain Intensity AbNormality Classification Algorithm (BIANCA), a customizable and trainable algorithm that quantifies WMH volume based on individual data training sets, can be optimized for a normal aging population.…”
  20. 40

    Image_2_The Effect of Training Sample Size on the Prediction of White Matter Hyperintensity Volume in a Healthy Population Using BIANCA.JPEG by Niklas Wulms (11928755)

    Published 2022
    “…In this study, we tested whether WMH volumetry with FMRIB software library v6.0 (FSL; https://fsl.fmrib.ox.ac.uk/fsl/fslwiki) Brain Intensity AbNormality Classification Algorithm (BIANCA), a customizable and trainable algorithm that quantifies WMH volume based on individual data training sets, can be optimized for a normal aging population.…”