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processing optimization » process optimization (Expand Search), process optimisation (Expand Search), routing optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
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Showing 21 - 40 results of 476 for search '(( binary b model optimization algorithm ) OR ( data samples processing optimization algorithm ))', query time: 0.52s Refine Results
  1. 21
    Temperature sensor 1 sample data and data curve after noise reduction.

    Temperature sensor 1 sample data and data curve after noise reduction. by Tang Ruipeng (20141334)

    Published 2024
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  2. 22
    Temperature sensor 3 sample data and data curve after noise reduction.

    Temperature sensor 3 sample data and data curve after noise reduction. by Tang Ruipeng (20141334)

    Published 2024
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  3. 23
    Example of subsampling process.

    Example of subsampling process. by Sofia P. Miranda (11418930)

    Published 2021
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  4. 24
    Application of ABC SMC to the fitting of the binary flip with cusp model.

    Application of ABC SMC to the fitting of the binary flip with cusp model. by Elena Camacho-Aguilar (10906327)

    Published 2021
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  5. 25
    Description of optimal model parameters.

    Description of optimal model parameters. by Libo Liu (552605)

    Published 2024
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  6. 26
    Spatial multivariate optimization for a sampling redesign with a reduced sample size of soil chemical properties

    Spatial multivariate optimization for a sampling redesign with a reduced sample size of soil chemical properties by Tamara Cantú Maltauro (15199725)

    Published 2023
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  7. 27
    Comparative analysis of off-policy PPO algorithm and on-policy algorithm on the a) CSMAR and b) MorningStar datasets.

    Comparative analysis of off-policy PPO algorithm and on-policy algorithm on the a) CSMAR and b) MorningStar datasets. by Cai Yuanqing (22513351)

    Published 2025
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  8. 28
    Parameter estimation process and performance.

    Parameter estimation process and performance. by Gennady Gorin (8466255)

    Published 2020
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  9. 29
    Weights of sample data.

    Weights of sample data. by Yixuan Lu (9987980)

    Published 2023
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  10. 30
    Construction process of RF.

    Construction process of RF. by Xini Fang (20861990)

    Published 2025
    “…Following this, the FCM clustering algorithm is utilized for pre-processing sample data to improve the efficiency and accuracy of data classification. …”
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  11. 31
    Area under the ROC and PR curves for medicated patients, using the original and SMOTE sample data.

    Area under the ROC and PR curves for medicated patients, using the original and SMOTE sample data. by João Albuquerque (12936572)

    Published 2022
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  12. 32
    Genetic algorithm iteration data chart.

    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. …”
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  13. 33
    Action potential of sample points in model 1.

    Action potential of sample points in model 1. by Hang Zhao (143592)

    Published 2025
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  14. 34
    Action potential of sample points in model 2.

    Action potential of sample points in model 2. by Hang Zhao (143592)

    Published 2025
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  15. 35
    Action potential of sample points in model 0.

    Action potential of sample points in model 0. by Hang Zhao (143592)

    Published 2025
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  16. 36
    Sample images from the BreakHis dataset.

    Sample images from the BreakHis dataset. by Afnan M. Alhassan (18349378)

    Published 2024
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  17. 37
    Genetic algorithm flowchart.

    Genetic algorithm flowchart. 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. …”
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  18. 38
    Image_1_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg

    Image_1_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)

    Published 2022
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  19. 39
    Image_5_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg

    Image_5_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)

    Published 2022
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  20. 40
    Image_2_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg

    Image_2_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)

    Published 2022
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