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Showing 1 - 20 results of 111 for search '(( primary aim model optimization algorithm ) OR ( binary basic wolf optimization algorithm ))', query time: 0.72s Refine Results
  1. 1
    Optimized model prediction performance.

    Optimized model prediction performance. by Guang Tu (22054865)

    Published 2025
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  2. 2
    Flowchart of simple ant colony algorithm.

    Flowchart of simple ant colony algorithm. by Yang Yu (4292)

    Published 2025
    “…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …”
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  3. 3
    Comparison of ROC performance before and after optimization.

    Comparison of ROC performance before and after optimization. by Guang Tu (22054865)

    Published 2025
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  4. 4
    Schematic of the suggested ROSA network for 16-element linear array consisting of power division, phase control, amplitude control of primary and secondary array.

    Schematic of the suggested ROSA network for 16-element linear array consisting of power division, phase control, amplitude control of primary and secondary array. by Maryam Shadi (14237349)

    Published 2022
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  5. 5
    Variable importance of features included in the gradient boosting machine learning (XGB) algorithm for predicting postinduction hypotension.

    Variable importance of features included in the gradient boosting machine learning (XGB) algorithm for predicting postinduction hypotension. by Manabu Yoshimura (11040049)

    Published 2022
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  6. 6
    Business priorities.

    Business priorities. by Yang Yu (4292)

    Published 2025
    “…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …”
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  7. 7
    Topology of 14-node communication network.

    Topology of 14-node communication network. by Yang Yu (4292)

    Published 2025
    “…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …”
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  8. 8
    Routing policy based on path satisfaction.

    Routing policy based on path satisfaction. by Yang Yu (4292)

    Published 2025
    “…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …”
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  9. 9
    Changes of risk value under different parameters.

    Changes of risk value under different parameters. by Yang Yu (4292)

    Published 2025
    “…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …”
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  10. 10
    Performance of active and standby paths.

    Performance of active and standby paths. by Yang Yu (4292)

    Published 2025
    “…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …”
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  11. 11
    DATA.

    DATA. by Yang Yu (4292)

    Published 2025
    “…Based on a comprehensive assessment of service transmission reliability and time costs, a route satisfaction evaluation function model has been developed. Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …”
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  12. 12
    Distributions of model parameters mirror differentially expressed ion channel genes.

    Distributions of model parameters mirror differentially expressed ion channel genes. by Daniele Linaro (227790)

    Published 2022
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  13. 13
    Methodology for minimum nitrogen compounds removal efficiencies estimation and wastewater treatment systems pre-selection: a watershed approach

    Methodology for minimum nitrogen compounds removal efficiencies estimation and wastewater treatment systems pre-selection: a watershed approach by Glaucia de Laia Nascimento Sá (7528922)

    Published 2019
    “…A water quality model and the Genetic Algorithm Metaheuristic were associated in order to solve the optimization problem. …”
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  14. 14
    Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement

    Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement by Antoine Falisse (6061601)

    Published 2019
    “…The primary aim of this study was to demonstrate the computational benefits of using AD instead of FD in OpenSim-based trajectory optimization of human movement. …”
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  15. 15
    Image_1_The prognostic role of an optimal machine learning model based on clinical available indicators in HCC patients.TIF

    Image_1_The prognostic role of an optimal machine learning model based on clinical available indicators in HCC patients.TIF by Xiaoying Lou (9700261)

    Published 2024
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  16. 16
    Image_2_The prognostic role of an optimal machine learning model based on clinical available indicators in HCC patients.TIF

    Image_2_The prognostic role of an optimal machine learning model based on clinical available indicators in HCC patients.TIF by Xiaoying Lou (9700261)

    Published 2024
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  17. 17
    Study design.

    Study design. by Maxence Coulombe (17921106)

    Published 2024
    “…At the delivery stage, all patients will receive both a Providence-type brace optimized by the semi-automatic algorithm leveraging a patient-specific FEM (Test) and a conventional Providence-type brace (Control), both designed using CAD/CAM methods. …”
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  18. 18
    Table_1_Application of machine learning algorithms in predicting HIV infection among men who have sex with men: Model development and validation.docx

    Table_1_Application of machine learning algorithms in predicting HIV infection among men who have sex with men: Model development and validation.docx by Jiajin He (13386702)

    Published 2022
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  19. 19
    Table_1_Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units.XLSX

    Table_1_Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units.XLSX by Qin-Yu Zhao (10014626)

    Published 2021
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  20. 20
    Table_2_Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units.DOCX

    Table_2_Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units.DOCX by Qin-Yu Zhao (10014626)

    Published 2021
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