Showing 61 - 80 results of 11,528 for search '(( elements method algorithm ) OR ((( data using algorithm ) OR ( data learning algorithm ))))', query time: 0.40s Refine Results
  1. 61
  2. 62

    Ranking of ML algorithms. by Yasemin Ayaz Atalan (21989402)

    Published 2025
    “…For this purpose, well-known Machine Learning (ML) algorithms such as Random Forest (RF), Adaptive Boosting (AB), and Gradient Boosting (GB) were utilized. …”
  3. 63
  4. 64
  5. 65
  6. 66
  7. 67

    A new approach in soil organic carbon estimation using machine learning algorithms: a study in a tropical forest in Vietnam by Thuy Phuong Nguyen (11769999)

    Published 2024
    “…This study aimed to evaluate the ability of SOC estimation using a multiple linear regression model (MLR) and four machine learning algorithms: artificial neural networks (ANN), support vector machine (SVM), random forest (RF), and extreme gradient boosting (XGBoost) with satellite data sources and soil nutrient indicator data to find the optimal method. …”
  8. 68

    Genetic algorithm iteration data chart. by Wenguang Li (6528113)

    Published 2024
    “…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …”
  9. 69
  10. 70
  11. 71
  12. 72
  13. 73

    Learning curves under various machine algorithms. by Jinlin Teng (17972595)

    Published 2024
    “…The findings are as follows:</p><p>1.Machine learning algorithms can be effectively used for urban noise evaluation. …”
  14. 74
  15. 75

    Performance evaluation measure of the machine learning algorithm after data balancing with SMOTE and grid search tuning. by Alemu Birara Zemariam (17540938)

    Published 2025
    “…<p>Performance evaluation measure of the machine learning algorithm after data balancing with SMOTE and grid search tuning.…”
  16. 76
  17. 77
  18. 78
  19. 79

    Feature selection using the Boruta algorithm. by Guang Tu (22054865)

    Published 2025
    “…</p><p>Results</p><p>Our study included 2,213 patients, of whom 345 (15.6%) experienced in-hospital mortality. The Boruta algorithm identified 29 significant risk factors, and the top 13 variables were used for developing machine learning models. …”
  20. 80