Showing 81 - 100 results of 14,586 for search '(( element method algorithm ) OR ((( data using algorithm ) OR ( based methods algorithm ))))', query time: 0.49s Refine Results
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    Proposed Algorithm. by Hend Bayoumi (22693738)

    Published 2025
    “…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
  3. 83

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

    Published 2024
    “…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …”
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    Algorithm for MFISTA-VA [30]. by Faisal Najeeb (20542714)

    Published 2025
    “…Additionally, GRASP uses NUFFT gridding to map Golden-angle-radial data to Cartesian grid before NL-CG based CS reconstruction. …”
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    Training algorithm flow. by Xing Chen (140292)

    Published 2024
    “…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …”
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    Flowchart of algorithm principles. by Wenjuan Zhou (115285)

    Published 2025
    “…First, the Lasso algorithm and Pearson correlation coefficient method are applied to screen key multi-source features from wind turbine operation and maintenance data, quantifying their dynamic correlations with power output. …”
  12. 92

    Flowchart of the proposed algorithm. by Huanyu Yang (6683780)

    Published 2025
    “…The sub-block selection algorithm sorts and filters sub-blocks based on the average pixel difference, reconstructing the input data to ensure accurate separation of melanin and hemoglobin. …”
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    The Search process of the genetic algorithm. by Wenguang Li (6528113)

    Published 2024
    “…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …”
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    Improved random forest algorithm. by Zhen Zhao (159931)

    Published 2025
    “…Subsequently, the feature factors corresponding to the model with the highest accuracy were selected as the optimal feature subsets and used in the model construction as input data. Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …”