بدائل البحث:
process optimization » model optimization (توسيع البحث)
design optimization » bayesian optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
يعرض 1 - 20 نتائج من 141 نتيجة بحث عن 'binary data ((design optimization) OR (process optimization)) algorithm*', وقت الاستعلام: 0.28s تنقيح النتائج
  1. 1
    An optimization process of the proposed hybrid BEOSA (HBEOSA) combining both SA and FFA methods into BEOSA.

    An optimization process of the proposed hybrid BEOSA (HBEOSA) combining both SA and FFA methods into BEOSA. حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    الموضوعات: "…requires approximate algorithms…"
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  2. 2
    The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms.

    The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    الموضوعات: "…requires approximate algorithms…"
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  3. 3
    Comparisons between ADAM and NADAM optimizers.

    Comparisons between ADAM and NADAM optimizers. حسب Hend Bayoumi (22693738)

    منشور في 2025
    "…To enhance the offloading decision-making process, the algorithm incorporates the Newton-Raphson method for fast and efficient optimization of the computation rate under energy constraints. …"
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  4. 4
    An illustration and comparison of the fitness convergence curves for the Large-scale dataset (WaveformEW), medium-scale dataset (Zoo dataset), and Small-scale (Wine dataset) using 50 and 100 population sizes.

    An illustration and comparison of the fitness convergence curves for the Large-scale dataset (WaveformEW), medium-scale dataset (Zoo dataset), and Small-scale (Wine dataset) using... حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    الموضوعات: "…requires approximate algorithms…"
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  5. 5
    Medium-scale dataset comparative analysis using fitness and cost values for population size 50 and 100.

    Medium-scale dataset comparative analysis using fitness and cost values for population size 50 and 100. حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    الموضوعات: "…requires approximate algorithms…"
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  6. 6
    Large-scale dataset comparative analysis using computation resources.

    Large-scale dataset comparative analysis using computation resources. حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    الموضوعات: "…requires approximate algorithms…"
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  7. 7
    Datasets and their properties.

    Datasets and their properties. حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    الموضوعات: "…requires approximate algorithms…"
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  8. 8
    An illustration and comparison of the cost convergence curves for the Large-scale dataset (WaveformEW), medium-scale dataset (Zoo dataset), and Small-scale (Wine dataset) using 50 and 100 population sizes.

    An illustration and comparison of the cost convergence curves for the Large-scale dataset (WaveformEW), medium-scale dataset (Zoo dataset), and Small-scale (Wine dataset) using 50... حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    الموضوعات: "…requires approximate algorithms…"
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  9. 9
    Small-scale dataset comparative analysis using fitness and cost values for population sizes 50 and 100.

    Small-scale dataset comparative analysis using fitness and cost values for population sizes 50 and 100. حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    الموضوعات: "…requires approximate algorithms…"
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  10. 10
    Medium-scale dataset comparative analysis using the number of features selected.

    Medium-scale dataset comparative analysis using the number of features selected. حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    الموضوعات: "…requires approximate algorithms…"
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  11. 11
    Small-scale dataset comparative analysis using classification accuracy for population sizes 50 and 100.

    Small-scale dataset comparative analysis using classification accuracy for population sizes 50 and 100. حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    الموضوعات: "…requires approximate algorithms…"
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  12. 12
    Large-scale dataset comparative analysis using the number of features selected.

    Large-scale dataset comparative analysis using the number of features selected. حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    الموضوعات: "…requires approximate algorithms…"
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  13. 13
    Medium-scale dataset comparative analysis using classification accuracy for population sizes 50 and 100.

    Medium-scale dataset comparative analysis using classification accuracy for population sizes 50 and 100. حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    الموضوعات: "…requires approximate algorithms…"
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  14. 14
    A radar plot illustrating the comparison of the classification accuracy, cost values, and fitness values for the hybrids of BEOSA when applied to some high-dimensional datasets using a variation of 50 and 100 population sizes.

    A radar plot illustrating the comparison of the classification accuracy, cost values, and fitness values for the hybrids of BEOSA when applied to some high-dimensional datasets usi... حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    الموضوعات: "…requires approximate algorithms…"
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  15. 15
    Medium-scale dataset comparative analysis using computation resources.

    Medium-scale dataset comparative analysis using computation resources. حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    الموضوعات: "…requires approximate algorithms…"
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  16. 16
    Fig 7 -

    Fig 7 - حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    الموضوعات: "…requires approximate algorithms…"
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  17. 17
    Fig 4 -

    Fig 4 - حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    الموضوعات: "…requires approximate algorithms…"
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  18. 18
    Large-scale dataset comparative analysis using fitness and cost values for population sizes 50 and 100.

    Large-scale dataset comparative analysis using fitness and cost values for population sizes 50 and 100. حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    الموضوعات: "…requires approximate algorithms…"
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  19. 19
    A radar plot illustrating the comparison of the classification accuracy, cost values, and fitness values for the hybrids of BEOSA when applied to some medium-sized dimensional datasets using a variation of 50 and 100 population sizes.

    A radar plot illustrating the comparison of the classification accuracy, cost values, and fitness values for the hybrids of BEOSA when applied to some medium-sized dimensional data... حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    الموضوعات: "…requires approximate algorithms…"
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    محفوظ في:
  20. 20
    Small-scale dataset comparative analysis using computation resources.

    Small-scale dataset comparative analysis using computation resources. حسب Olaide N. Oyelade (14047002)

    منشور في 2023
    الموضوعات: "…requires approximate algorithms…"
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