Showing 481 - 500 results of 5,488 for search 'decision three algorithm', query time: 0.19s Refine Results
  1. 481
  2. 482

    Similar Instances Reuse Based Numerical Control Process Decision Method for Prismatic Parts by Changhong XU, Shusheng ZHANG, Jiachen LIANG, Rui HUANG, Rong BIAN

    Published 2025-01-01
    “…In addition, the existing NC process decision methods, such as the genetic algorithm, ant colony algorithm, and particle swarm algorithm, have not been combined with the reuse approach. …”
    Get full text
    Article
  3. 483

    Decision-making power enhances investors’ neural processing of persuasive message in partnership investment by Jianbiao Li, Peikun Chen, Jingjing Pan, Chengkang Zhu

    Published 2024-12-01
    “…The decision-making power amplified the INS difference in the last three pairs. …”
    Get full text
    Article
  4. 484
  5. 485
  6. 486
  7. 487
  8. 488
  9. 489

    Security decision method for the edge of multi-layer satellite network based on reinforcement learning by Peiliang ZUO, Shaolong HOU, Chao GUO, Hua JIANG, Wenbo WANG

    Published 2022-06-01
    “…This paper uses deep reinforcement learning algorithms to implement edge security decisions for satellite networks. …”
    Get full text
    Article
  10. 490

    Accurate Solar Radiation Forecasting Through Feature-Enhanced Decision Trees and Wavelet Decomposition by Gaizen Soufiane, Abbou Ahmed, Fadi Ouafia

    Published 2025-01-01
    “…This study explores the efficacy of the decision tree algorithm in predicting solar power generation, addressing the inherent variability in photovoltaic (PV) energy production due to weather conditions. …”
    Get full text
    Article
  11. 491
  12. 492

    CLASSIFICATION OF STUDENT GRADUATION STATUS USING XGBOOST ALGORITHM by Maria Welita Dwinanda, Neva Satyahadewi, Wirda Andani

    Published 2023-09-01
    “…The resulting XGBoost classification model is optimal at the number of rounds is 3 and the number of folds is 5. Based on the performance evaluation of the XGBoost algorithm, an accuracy of 75,00%, precision of 88,89%, sensitivity of 76,19% and specificity of 71,43% were obtained. …”
    Get full text
    Article
  13. 493
  14. 494
  15. 495
  16. 496

    A study on the prediction of mountain slope displacement using a hybrid deep learning model by Yuyang Ma, Xiangxiang Hu, Yuhang Liu, Yaya Shi, Zhiyuan Yu, Xinmin Wang, Liangbai Hu, Shuailing Liu, Dongdong Pang

    Published 2025-05-01
    “…The method employs an Improved Whale Optimization Algorithm (IWOA) to fine-tune parameters for GNSS data fitting, ensuring accurate signal feature extraction. …”
    Get full text
    Article
  17. 497
  18. 498
  19. 499
  20. 500