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Showing 1 - 20 results of 280 for search '(( linear modeling process optimization algorithm ) OR ( binary b codon optimization algorithm ))', query time: 0.63s 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
    The flowchart for model solving process.

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

    Published 2025
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  4. 4
    The tracking process of the experimental UVMS.

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

    Published 2023
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  5. 5
    Improved HMAX model running process.

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

    Published 2025
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  6. 6
    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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  7. 7
    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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  8. 8
    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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  9. 9
    <i>hi</i>PRS algorithm process flow.

    <i>hi</i>PRS algorithm process flow. by Michela C. Massi (14599915)

    Published 2023
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  10. 10
    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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  11. 11
    Improve algorithm process.

    Improve algorithm process. by Ziwei Wu (11386352)

    Published 2025
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  12. 12
    Pairplot of classification metrics including accuracy, sensitivity, specificity, PPV, NPV, and F-score with regression lines showing linear trends between metric pairs.

    Pairplot of classification metrics including accuracy, sensitivity, specificity, PPV, NPV, and F-score with regression lines showing linear trends between metric pairs. by Amal H. Alharbi (21755906)

    Published 2025
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  13. 13
    DataSheet1_Study on Dynamic Process Characteristics of CHP Unit With Variable Load Based on Working Point Linearization Modeling.pdf

    DataSheet1_Study on Dynamic Process Characteristics of CHP Unit With Variable Load Based on Working Point Linearization Modeling.pdf by Yuehua Huang (3920081)

    Published 2022
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  14. 14
    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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  15. 15
    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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  16. 16
    Statistical analysis and comparison of the optimum results obtained by three algorithms.

    Statistical analysis and comparison of the optimum results obtained by three algorithms. by Rasel Ahmed (6648482)

    Published 2023
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  17. 17
    RI-HMAX image processing technology.

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

    Published 2025
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  18. 18
    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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  19. 19
    Experimental validation of the SRP model.

    Experimental validation of the SRP model. by Julian Rossbroich (10305768)

    Published 2021
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  20. 20
    Datasets of computational processes.

    Datasets of computational processes. by Yixuan Lu (9987980)

    Published 2023
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