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Showing 101 - 120 results of 796 for search '(( algorithm cep function ) OR ( ((algorithm python) OR (algorithm flow)) function ))*', query time: 0.37s Refine Results
  1. 101
    Statistcal calculations over 40 independent triels of HFPSO algorithm.

    Statistcal calculations over 40 independent triels of HFPSO algorithm. by Abdullah Khan (377292)

    Published 2020
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  2. 102
    An example of the algorithm of the ORFanID engine is explained in a UML flow chart diagram.

    An example of the algorithm of the ORFanID engine is explained in a UML flow chart diagram. by Richard S. Gunasekera (6752072)

    Published 2023
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  3. 103
    Constructing the dynamical law.

    Constructing the dynamical law. by Robert Marsland (8616483)

    Published 2020
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  4. 104
    Definitions of global parameters used for constructing random ecosystems.

    Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

    Published 2020
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  5. 105
    Average quality scores of the models of the analysis set as a function of the <i>w</i><sub><i>SP</i></sub> with which the DOPE potential has been included in the objective function of MODELLER.

    Average quality scores of the models of the analysis set as a function of the <i>w</i><sub><i>SP</i></sub> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

    Published 2019
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  6. 106
    Completion times for different algorithms.

    Completion times for different algorithms. by Jianbin Zheng (587000)

    Published 2025
    “…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …”
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  7. 107
    The average cumulative reward of algorithms.

    The average cumulative reward of algorithms. by Jianbin Zheng (587000)

    Published 2025
    “…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …”
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  8. 108
    Reward function related parameters.

    Reward function related parameters. by Honglei Pang (22693724)

    Published 2025
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  9. 109
    Reverse engineering information flow using stimulus-encoding and stimulus-transfer estimation algorithms.

    Reverse engineering information flow using stimulus-encoding and stimulus-transfer estimation algorithms. by Gabriel Matías Lorenz (21094672)

    Published 2025
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  10. 110
    Workflow from data acquisition to automated diagnostics.

    Workflow from data acquisition to automated diagnostics. by Bernhard Vennemann (7434353)

    Published 2019
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  11. 111
    Valve during diastole with inserts creating an artificial leak.

    Valve during diastole with inserts creating an artificial leak. by Bernhard Vennemann (7434353)

    Published 2019
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  12. 112
    Test section including model of the aortic root with BHV and a flow sensor at the ascending aorta.

    Test section including model of the aortic root with BHV and a flow sensor at the ascending aorta. by Bernhard Vennemann (7434353)

    Published 2019
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  13. 113
    Sinusoidal fit to the measurement data.

    Sinusoidal fit to the measurement data. by Bernhard Vennemann (7434353)

    Published 2019
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  14. 114
    The phases of automated BHV monitoring.

    The phases of automated BHV monitoring. by Bernhard Vennemann (7434353)

    Published 2019
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  15. 115
    Baseline one-class SVM model.

    Baseline one-class SVM model. by Bernhard Vennemann (7434353)

    Published 2019
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  16. 116
    Bar plots of MCI for different AR scenarios.

    Bar plots of MCI for different AR scenarios. by Bernhard Vennemann (7434353)

    Published 2019
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  17. 117
    Steps of data preprocessing.

    Steps of data preprocessing. by Bernhard Vennemann (7434353)

    Published 2019
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  18. 118
    Mild AR scenario measurement overlaid onto the baseline model.

    Mild AR scenario measurement overlaid onto the baseline model. by Bernhard Vennemann (7434353)

    Published 2019
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  19. 119
    Overview of algorithm.

    Overview of algorithm. by Takayuki Niizato (162226)

    Published 2023
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  20. 120
    Machine learning algorithm parameters.

    Machine learning algorithm parameters. by Namal Rathnayake (15361124)

    Published 2023
    “…Results of the study showcased that both systems can simulate river flows as a function of catchment rainfalls; however, the Cat gradient Boosting algorithm (CatBoost) has a computational edge over the Adaptive Network Based Fuzzy Inference System (ANFIS). …”
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