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Showing 1 - 20 results of 53 for search '(( final whole process optimization algorithm ) OR ( binary data driven optimization algorithm ))', query time: 0.54s Refine Results
  1. 1
    Algorithm optimization process.

    Algorithm optimization process. by Zhihao Li (359073)

    Published 2025
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  2. 2
    Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things

    Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things by Ashok Kumar K (21441108)

    Published 2025
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  3. 3
    Coarse-fine optimization algorithm.

    Coarse-fine optimization algorithm. by Chao Ma (207385)

    Published 2025
    “…To improve the focusing efficiency and optimize the focusing process, a search strategy combining a climbing search algorithm and a traversal method was proposed. …”
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  4. 4
    Final solution set for overspeed protection for gas turbine problem (termination condition is 500 iteration).

    Final solution set for overspeed protection for gas turbine problem (termination condition is 500 iteration). by Heba Askr (15572851)

    Published 2023
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  5. 5
    Final solution set for a series-parallel system with five subsystems (termination condition is 500 iteration).

    Final solution set for a series-parallel system with five subsystems (termination condition is 500 iteration). by Heba Askr (15572851)

    Published 2023
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  6. 6
    Event-driven data flow processing.

    Event-driven data flow processing. by Yixian Wen (12201388)

    Published 2025
    “…Subsequently, we implement an optimal binary tree decision-making algorithm, grounded in dynamic programming, to achieve precise allocation of elastic resources within data streams, significantly bolstering resource utilization. …”
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  7. 7
    Material parameters.

    Material parameters. by Dapeng Wang (250459)

    Published 2023
    “…The impact of detection probability and maintenance measures on the service life of tunnel lining and the cost of detection and maintenance of cracked lining in the whole life cycle was analyzed; the optimization calculation model of tunnel lining crack detection and maintenance strategy based on genetic algorithm was established with the multi-objective optimization function of maximizing the service life of detection and maintenance and minimizing the total cost of detection and maintenance of fatigue cracks. …”
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  8. 8
    S1 File -

    S1 File - by Dapeng Wang (250459)

    Published 2023
    “…The impact of detection probability and maintenance measures on the service life of tunnel lining and the cost of detection and maintenance of cracked lining in the whole life cycle was analyzed; the optimization calculation model of tunnel lining crack detection and maintenance strategy based on genetic algorithm was established with the multi-objective optimization function of maximizing the service life of detection and maintenance and minimizing the total cost of detection and maintenance of fatigue cracks. …”
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  9. 9
    Parameter values.

    Parameter values. by Dapeng Wang (250459)

    Published 2023
    “…The impact of detection probability and maintenance measures on the service life of tunnel lining and the cost of detection and maintenance of cracked lining in the whole life cycle was analyzed; the optimization calculation model of tunnel lining crack detection and maintenance strategy based on genetic algorithm was established with the multi-objective optimization function of maximizing the service life of detection and maintenance and minimizing the total cost of detection and maintenance of fatigue cracks. …”
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  10. 10
    PoD of cracks by ultrasonic method.

    PoD of cracks by ultrasonic method. by Dapeng Wang (250459)

    Published 2023
    “…The impact of detection probability and maintenance measures on the service life of tunnel lining and the cost of detection and maintenance of cracked lining in the whole life cycle was analyzed; the optimization calculation model of tunnel lining crack detection and maintenance strategy based on genetic algorithm was established with the multi-objective optimization function of maximizing the service life of detection and maintenance and minimizing the total cost of detection and maintenance of fatigue cracks. …”
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  11. 11
    Time course curve of SIFs.

    Time course curve of SIFs. by Dapeng Wang (250459)

    Published 2023
    “…The impact of detection probability and maintenance measures on the service life of tunnel lining and the cost of detection and maintenance of cracked lining in the whole life cycle was analyzed; the optimization calculation model of tunnel lining crack detection and maintenance strategy based on genetic algorithm was established with the multi-objective optimization function of maximizing the service life of detection and maintenance and minimizing the total cost of detection and maintenance of fatigue cracks. …”
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  12. 12
    Configuration of the CRH3 train used in China.

    Configuration of the CRH3 train used in China. by Dapeng Wang (250459)

    Published 2023
    “…The impact of detection probability and maintenance measures on the service life of tunnel lining and the cost of detection and maintenance of cracked lining in the whole life cycle was analyzed; the optimization calculation model of tunnel lining crack detection and maintenance strategy based on genetic algorithm was established with the multi-objective optimization function of maximizing the service life of detection and maintenance and minimizing the total cost of detection and maintenance of fatigue cracks. …”
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  13. 13
    Schematic diagrams of M-shaped wave.

    Schematic diagrams of M-shaped wave. by Dapeng Wang (250459)

    Published 2023
    “…The impact of detection probability and maintenance measures on the service life of tunnel lining and the cost of detection and maintenance of cracked lining in the whole life cycle was analyzed; the optimization calculation model of tunnel lining crack detection and maintenance strategy based on genetic algorithm was established with the multi-objective optimization function of maximizing the service life of detection and maintenance and minimizing the total cost of detection and maintenance of fatigue cracks. …”
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  14. 14
    Calculated train loads.

    Calculated train loads. by Dapeng Wang (250459)

    Published 2023
    “…The impact of detection probability and maintenance measures on the service life of tunnel lining and the cost of detection and maintenance of cracked lining in the whole life cycle was analyzed; the optimization calculation model of tunnel lining crack detection and maintenance strategy based on genetic algorithm was established with the multi-objective optimization function of maximizing the service life of detection and maintenance and minimizing the total cost of detection and maintenance of fatigue cracks. …”
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  15. 15
    Dimensions of the calculated model.

    Dimensions of the calculated model. by Dapeng Wang (250459)

    Published 2023
    “…The impact of detection probability and maintenance measures on the service life of tunnel lining and the cost of detection and maintenance of cracked lining in the whole life cycle was analyzed; the optimization calculation model of tunnel lining crack detection and maintenance strategy based on genetic algorithm was established with the multi-objective optimization function of maximizing the service life of detection and maintenance and minimizing the total cost of detection and maintenance of fatigue cracks. …”
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  16. 16
    Crack size with three maintenance strategies.

    Crack size with three maintenance strategies. by Dapeng Wang (250459)

    Published 2023
    “…The impact of detection probability and maintenance measures on the service life of tunnel lining and the cost of detection and maintenance of cracked lining in the whole life cycle was analyzed; the optimization calculation model of tunnel lining crack detection and maintenance strategy based on genetic algorithm was established with the multi-objective optimization function of maximizing the service life of detection and maintenance and minimizing the total cost of detection and maintenance of fatigue cracks. …”
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  17. 17
    Crack expansion trajectory.

    Crack expansion trajectory. by Dapeng Wang (250459)

    Published 2023
    “…The impact of detection probability and maintenance measures on the service life of tunnel lining and the cost of detection and maintenance of cracked lining in the whole life cycle was analyzed; the optimization calculation model of tunnel lining crack detection and maintenance strategy based on genetic algorithm was established with the multi-objective optimization function of maximizing the service life of detection and maintenance and minimizing the total cost of detection and maintenance of fatigue cracks. …”
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  18. 18
    Video1_NSPG: An Efficient Posture Generator Based on Null-Space Alteration and Kinetostatics Constraints.MP4

    Video1_NSPG: An Efficient Posture Generator Based on Null-Space Alteration and Kinetostatics Constraints.MP4 by figshare admin frontiersin (4545187)

    Published 2021
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  19. 19
    UK Biobank data wrangling statistics and results.

    UK Biobank data wrangling statistics and results. by Simeone Marino (81051)

    Published 2020
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  20. 20
    Flow diagram of the proposed model.

    Flow diagram of the proposed model. by Uğur Ejder (22683228)

    Published 2025
    “…<div><p>Machine learning models are increasingly applied to assisted reproductive technologies (ART), yet most studies rely on conventional algorithms with limited optimization. This proof-of-concept study investigates whether a hybrid Logistic Regression–Artificial Bee Colony (LR–ABC) framework can enhance predictive performance in in vitro fertilization (IVF) outcomes while producing interpretable, hypothesis-driven associations with nutritional and pharmaceutical supplement use. …”
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