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Showing 81 - 100 results of 9,896 for search '(( elements method algorithm ) OR ((( data encoding algorithm ) OR ( based model algorithm ))))', query time: 0.53s Refine Results
  1. 81
    The accuracy of FashionMNIST dataset under FedAvg, FedProx, and SCAFFOLD.

    The accuracy of FashionMNIST dataset under FedAvg, FedProx, and SCAFFOLD. by Pan Wang (198097)

    Published 2025
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  2. 82
    Hyper-parameter settings.

    Hyper-parameter settings. by Pan Wang (198097)

    Published 2025
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  3. 83
    The accuracy of MNIST dataset under FedAvg, FedProx, and SCAFFOLD.

    The accuracy of MNIST dataset under FedAvg, FedProx, and SCAFFOLD. by Pan Wang (198097)

    Published 2025
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  4. 84
    The convergence curves of the HMMS optimization algorithm based on INFO-KELM and other algorithms.

    The convergence curves of the HMMS optimization algorithm based on INFO-KELM and other algorithms. by Qiongfang Zhang (18055134)

    Published 2025
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  5. 85
    Example of back-translation based on Jacob and Shushma [8].

    Example of back-translation based on Jacob and Shushma [8]. by Rodrigo Gutiérrez Benítez (19746443)

    Published 2024
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  6. 86
    Data Sheet 7_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx

    Data Sheet 7_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

    Published 2025
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  7. 87
    Data Sheet 2_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx

    Data Sheet 2_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

    Published 2025
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  8. 88
    Data Sheet 9_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.xlsx

    Data Sheet 9_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.xlsx by Xuehui Fan (10762662)

    Published 2025
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  9. 89
    Data Sheet 5_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx

    Data Sheet 5_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

    Published 2025
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  10. 90
    Data Sheet 8_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx

    Data Sheet 8_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

    Published 2025
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  11. 91
    Data Sheet 6_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx

    Data Sheet 6_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

    Published 2025
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  12. 92
    Data Sheet 1_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx

    Data Sheet 1_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

    Published 2025
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  13. 93
    Data Sheet 3_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx

    Data Sheet 3_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

    Published 2025
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  14. 94
    Data Sheet 4_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx

    Data Sheet 4_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

    Published 2025
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  15. 95
    Load prediction for October 1, 2024, ISO NE: Actual vs predicted by different models.

    Load prediction for October 1, 2024, ISO NE: Actual vs predicted by different models. by Nasir Nauman (22272299)

    Published 2025
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  16. 96
    YOLOv8 model architecture diagram.

    YOLOv8 model architecture diagram. by Xiaozhou Feng (2918222)

    Published 2025
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  17. 97
    Fault diagnosis model based on Kepler algorithm and attention mechanism.

    Fault diagnosis model based on Kepler algorithm and attention mechanism. by Yu Jie Guang (22184340)

    Published 2025
    “…<p>Fault diagnosis model based on Kepler algorithm and attention mechanism.…”
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  18. 98
    Developed energy optimization model with LSC based on OAWDO algorithm.

    Developed energy optimization model with LSC based on OAWDO algorithm. by Hisham Alghamdi (20114096)

    Published 2024
    “…<p>Developed energy optimization model with LSC based on OAWDO algorithm.</p>…”
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  19. 99
    Price Forecast Evaluation for October 1, 2024, ISO NE: Actual vs Predicted by Different Models.

    Price Forecast Evaluation for October 1, 2024, ISO NE: Actual vs Predicted by Different Models. by Nasir Nauman (22272299)

    Published 2025
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  20. 100
    Comparison of forecasting models concerning MAPE, convergence speed, noise sensitivity, error management, and computational efficiency.

    Comparison of forecasting models concerning MAPE, convergence speed, noise sensitivity, error management, and computational efficiency. by Nasir Nauman (22272299)

    Published 2025
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