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Showing 121 - 140 results of 400 for search '(( binary image process optimization algorithm ) OR ( lines based models optimization algorithm ))', query time: 0.69s Refine Results
  1. 121
    Definition of sets and indices.

    Definition of sets and indices. by Chao Li (145513)

    Published 2023
    “…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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  2. 122
    Systematic comparison of related studies.

    Systematic comparison of related studies. by Chao Li (145513)

    Published 2023
    “…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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  3. 123
    Objective function value statistics.

    Objective function value statistics. by Chao Li (145513)

    Published 2023
    “…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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  4. 124
    Definition of parameters.

    Definition of parameters. by Chao Li (145513)

    Published 2023
    “…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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  5. 125
    Alternate routes’ information.

    Alternate routes’ information. by Chao Li (145513)

    Published 2023
    “…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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  6. 126
    MOR’s train diagram.

    MOR’s train diagram. by Chao Li (145513)

    Published 2023
    “…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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  7. 127
    Mean load factor of section.

    Mean load factor of section. by Chao Li (145513)

    Published 2023
    “…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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  8. 128
    Train operation plan when <i>z</i>=0.

    Train operation plan when <i>z</i>=0. by Chao Li (145513)

    Published 2023
    “…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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  9. 129
    Minimum turn-back time of turn-back stations.

    Minimum turn-back time of turn-back stations. by Chao Li (145513)

    Published 2023
    “…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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  10. 130
    Maximum allowable number of routes analysis.

    Maximum allowable number of routes analysis. by Chao Li (145513)

    Published 2023
    “…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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  11. 131
    Adjustment results of weight factors.

    Adjustment results of weight factors. by Chao Li (145513)

    Published 2023
    “…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …”
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  12. 132
    Dataset 1: Zip file containing the figures of the presented methods and results in jpeg files

    Dataset 1: Zip file containing the figures of the presented methods and results in jpeg files by Suchismita Behera (22027316)

    Published 2025
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  13. 133
    Systematic model of fog-cloud COVID prediction.

    Systematic model of fog-cloud COVID prediction. by Shanthi Amgothu (17692146)

    Published 2023
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  14. 134
    Transient Simulation Performance at 800<i>W</i>/<i>m</i><sup>2</sup> and 400<i>W</i>/<i>m</i><sup>2</sup> (a) Conventional P&O Algorithm, (b) Proposed SF Algorithm.

    Transient Simulation Performance at 800<i>W</i>/<i>m</i><sup>2</sup> and 400<i>W</i>/<i>m</i><sup>2</sup> (a) Conventional P&O Algorithm, (b) Proposed SF Algorithm. by Rana Ahmed (4923127)

    Published 2024
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  15. 135
    Model convergence to steady state.

    Model convergence to steady state. by Dmitrii Smirnov (8822324)

    Published 2020
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  16. 136
    Proposed deep learning model.

    Proposed deep learning model. by Rana Ahmed (4923127)

    Published 2024
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  17. 137
    Comparison of presented algorithm precision to Bot et al.

    Comparison of presented algorithm precision to Bot et al. by Dmitrii Smirnov (8822324)

    Published 2020
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  18. 138
    The <i>D</i><sub><i>98</i></sub> in the CTV and the for the nominal scenario optimized using the WC algorithm in homogeneous and heterogeneous phantom.

    The <i>D</i><sub><i>98</i></sub> in the CTV and the for the nominal scenario optimized using the WC algorithm in homogeneous and heterogeneous phantom. by Masashi Yagi (3186909)

    Published 2023
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  19. 139
    The <i>D</i><sub><i>98</i></sub> in the CTV and the for the nominal scenario optimized using the SC algorithm in homogeneous and heterogeneous phantoms.

    The <i>D</i><sub><i>98</i></sub> in the CTV and the for the nominal scenario optimized using the SC algorithm in homogeneous and heterogeneous phantoms. by Masashi Yagi (3186909)

    Published 2023
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  20. 140
    The stability factor of the optimized PA.

    The stability factor of the optimized PA. by Mohammad Soruri (15419087)

    Published 2023
    “…The widths and lengths of the microstrip lines in the input and output matching networks are defined as the parameters that the Hidden Markov Model should optimize. …”
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