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Showing 1 - 20 results of 295 for search 'linear use process optimization algorithm', query time: 0.39s Refine Results
  1. 1
    Optimization iterative process of target parameters.

    Optimization iterative process of target parameters. by Shenjie Cheng (18563736)

    Published 2024
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  2. 2
    Optimization iterative process of target parameters.

    Optimization iterative process of target parameters. by Shenjie Cheng (18563736)

    Published 2024
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  3. 3
    Parallel coordinate plot of the optimization process.

    Parallel coordinate plot of the optimization process. by Juan Ren (733592)

    Published 2025
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  4. 4
    Analysis and design of algorithms for the manufacturing process of integrated circuits

    Analysis and design of algorithms for the manufacturing process of integrated circuits by Sonia Fleytas (16856403)

    Published 2023
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  5. 5
    The tracking process of the experimental UVMS.

    The tracking process of the experimental UVMS. by Yong Dai (108856)

    Published 2023
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  6. 6
    Data_Sheet_1_Impact of Box-Cox Transformation on Machine-Learning Algorithms.pdf

    Data_Sheet_1_Impact of Box-Cox Transformation on Machine-Learning Algorithms.pdf by Luca Blum (12363742)

    Published 2022
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  7. 7
    Data_Sheet_1_Impact of Box-Cox Transformation on Machine-Learning Algorithms.pdf

    Data_Sheet_1_Impact of Box-Cox Transformation on Machine-Learning Algorithms.pdf by Luca Blum (12363742)

    Published 2022
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  8. 8
    Improve algorithm process.

    Improve algorithm process. by Ziwei Wu (11386352)

    Published 2025
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  9. 9
    Prediction percentage distribution using different algorithms applied in our research.

    Prediction percentage distribution using different algorithms applied in our research. by Md Junayed Hossain (22615268)

    Published 2025
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  10. 10
    Here is the extracted cattle’s image from the original image using YOLOv5 algorithm, which accurately detects and isolates the cattle for further processing.

    Here is the extracted cattle’s image from the original image using YOLOv5 algorithm, which accurately detects and isolates the cattle for further processing. by Md Junayed Hossain (22615268)

    Published 2025
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  11. 11
    The structure of the experimental process for anuran bioacoustic classification.

    The structure of the experimental process for anuran bioacoustic classification. by Cihun-Siyong Alex Gong (11874066)

    Published 2021
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  12. 12
    Multi-scale representation of two-dimensional linear graphs.

    Multi-scale representation of two-dimensional linear graphs. by Guangmei Ma (21432861)

    Published 2025
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  13. 13
    The flowchart for model solving process.

    The flowchart for model solving process. by Tianhe Sun (21145341)

    Published 2025
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  14. 14
    Summary of the results of the individual models obtained for each participant for Worry/Fear (Q3): Optimal features, corresponding parameters and obtained correlation coefficients for NARX models, and optimal features and obtained correlation coefficients for sliding-window linear regression.

    Summary of the results of the individual models obtained for each participant for Worry/Fear (Q3): Optimal features, corresponding parameters and obtained correlation coefficients... by Isabel Barradas (20614853)

    Published 2025
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  15. 15
    Summary of the results of the individual models obtained for each participant for Happiness/Joy (Q1): Optimal features, corresponding parameters and obtained correlation coefficients for NARX models, and optimal features and obtained correlation coefficients for sliding-window linear regression.

    Summary of the results of the individual models obtained for each participant for Happiness/Joy (Q1): Optimal features, corresponding parameters and obtained correlation coefficien... by Isabel Barradas (20614853)

    Published 2025
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  16. 16
    Summary of the results of the individual models obtained for each participant for Disappointment/Regret (Q2): Optimal features, corresponding parameters and obtained correlation coefficients for NARX models, and optimal features and obtained correlation coefficients for sliding-window linear regression.

    Summary of the results of the individual models obtained for each participant for Disappointment/Regret (Q2): Optimal features, corresponding parameters and obtained correlation co... by Isabel Barradas (20614853)

    Published 2025
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  17. 17
    Datasets of computational processes.

    Datasets of computational processes. by Yixuan Lu (9987980)

    Published 2023
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  18. 18
    Predictions of the drifter profiles for the floats in the heldout testing dataset, using the expected conditional mean of the latent variables generated by one iteration of the forward-backward smoothing process of the Expectation-Maximization algorithm with the vLDS model parameter optimized on the cross-validated dataset.

    Predictions of the drifter profiles for the floats in the heldout testing dataset, using the expected conditional mean of the latent variables generated by one iteration of the for... by Yan Yan (208529)

    Published 2019
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  19. 19
    Improved HMAX model running process.

    Improved HMAX model running process. by Guangmei Ma (21432861)

    Published 2025
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  20. 20
    RI-HMAX image processing technology.

    RI-HMAX image processing technology. by Guangmei Ma (21432861)

    Published 2025
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