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Showing 1 - 20 results of 287 for search '(( binary a process optimization algorithm ) OR ( lines used network optimization algorithm ))*', query time: 0.61s Refine Results
  1. 1
    TimeGAN instantiated with RNN, solid lines denote function application, dashed lines denote recurrence, and orange lines indicate loss computation.

    TimeGAN instantiated with RNN, solid lines denote function application, dashed lines denote recurrence, and orange lines indicate loss computation. by Xiaorui Wu (8322705)

    Published 2024
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  2. 2
    Example of non-optimal behaviour of the Greedy algorithm.

    Example of non-optimal behaviour of the Greedy algorithm. by Henriette Heer (9541510)

    Published 2020
    “…(b) Network with two links selected using the Greedy algorithm and clustering coefficient . …”
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  3. 3
    Optimum tuning of the dependent variables for various cases using the HFPSO technique (standard IEEE 30-bus test network).

    Optimum tuning of the dependent variables for various cases using the HFPSO technique (standard IEEE 30-bus test network). by Abdullah Khan (377292)

    Published 2020
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  4. 4
    Performance of optimization algorithms in six different network types.

    Performance of optimization algorithms in six different network types. by Maurits H. W. Oostenbroek (11331123)

    Published 2021
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  5. 5
    a) Accuracy and b) selected feature size of algorithms on the COVID-19 dataset.

    a) Accuracy and b) selected feature size of algorithms on the COVID-19 dataset. by Nebojsa Bacanin (13932723)

    Published 2022
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  6. 6
    Contour lines of GDOP of five BSs using DBSS5.

    Contour lines of GDOP of five BSs using DBSS5. by Sheng Miao (14248110)

    Published 2022
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  7. 7
    Contour lines of GDOP of four BSs using DBSS4.

    Contour lines of GDOP of four BSs using DBSS4. by Sheng Miao (14248110)

    Published 2022
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  8. 8
    The comparison of different optimization models.

    The comparison of different optimization models. by Jiefei Zhang (8787494)

    Published 2023
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  9. 9
    Optimal schemes for different resource limitations.

    Optimal schemes for different resource limitations. by Jiefei Zhang (8787494)

    Published 2023
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  10. 10
    Representation of the integrated metro and bus network.

    Representation of the integrated metro and bus network. by Jiefei Zhang (8787494)

    Published 2023
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  11. 11
    Performance of optimization algorithms in an network of education organizations of ± 250 nodes.

    Performance of optimization algorithms in an network of education organizations of ± 250 nodes. by Maurits H. W. Oostenbroek (11331123)

    Published 2021
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  12. 12
    Schematic of the disrupted network considered in the case study.

    Schematic of the disrupted network considered in the case study. by Jiefei Zhang (8787494)

    Published 2023
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  13. 13
    Schematic of the disrupted network considered in the case study.

    Schematic of the disrupted network considered in the case study. by Jiefei Zhang (8787494)

    Published 2023
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  14. 14
    Confusion matrix for a binary outcome (adapted from Fawcett [30]).

    Confusion matrix for a binary outcome (adapted from Fawcett [30]). by João Albuquerque (12936572)

    Published 2022
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  15. 15
    Histograms of various water quality parameters, including pH, Hardness, Solids, Chloramines, Sulfate, Organic Carbon, Trihalomethanes, Turbidity, and a binary portability check.

    Histograms of various water quality parameters, including pH, Hardness, Solids, Chloramines, Sulfate, Organic Carbon, Trihalomethanes, Turbidity, and a binary portability check. by Amal H. Alharbi (21755906)

    Published 2025
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  16. 16
    Schematic of metro network disruption and bus bridging response routes.

    Schematic of metro network disruption and bus bridging response routes. by Jiefei Zhang (8787494)

    Published 2023
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  17. 17
    Contour lines of GDOP in parallelogram layout.

    Contour lines of GDOP in parallelogram layout. by Sheng Miao (14248110)

    Published 2022
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  18. 18
    Contour line of GDOP in triangle layout.

    Contour line of GDOP in triangle layout. by Sheng Miao (14248110)

    Published 2022
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  19. 19
    Optimizing Kernel Transformations to Handle Binary Class Imbalanced Dataset Classification

    Optimizing Kernel Transformations to Handle Binary Class Imbalanced Dataset Classification by Vaibhavi Patel (19843282)

    Published 2024
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  20. 20
    The power magnitude of lines in scenario 1.

    The power magnitude of lines in scenario 1. by Dai Wan (20108122)

    Published 2024
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