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Showing 41 - 60 results of 176 for search '(( binary b process optimization algorithm ) OR ( lines based processes optimization algorithm ))', query time: 0.63s Refine Results
  1. 41
    Crack size with three maintenance strategies.

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

    Published 2023
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  2. 42
    Crack expansion trajectory.

    Crack expansion trajectory. by Dapeng Wang (250459)

    Published 2023
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  3. 43
    Test-set Kappa for CNN with and without optimization.

    Test-set Kappa for CNN with and without optimization. by Javier León (162217)

    Published 2020
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  4. 44
    Test-set Kappa for RNN with and without optimization.

    Test-set Kappa for RNN with and without optimization. by Javier León (162217)

    Published 2020
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  5. 45
    Test-set Kappa for FFNN with and without optimization.

    Test-set Kappa for FFNN with and without optimization. by Javier León (162217)

    Published 2020
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  6. 46
    Test-set Kappa for RNN with and without optimization.

    Test-set Kappa for RNN with and without optimization. by Javier León (162217)

    Published 2020
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  7. 47
    Energy-time behavior for the three optimized networks.

    Energy-time behavior for the three optimized networks. by Javier León (162217)

    Published 2020
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  8. 48
    Table1_Fine tuning a logical model of cancer cells to predict drug synergies: combining manual curation and automated parameterization.DOCX

    Table1_Fine tuning a logical model of cancer cells to predict drug synergies: combining manual curation and automated parameterization.DOCX by Åsmund Flobak (789984)

    Published 2023
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  9. 49
    Optimized model size of crossing frame.

    Optimized model size of crossing frame. by Jian Yang (12136)

    Published 2024
    “…This study introduces a comprehensive optimization design method for transmission line crossing frame structures based on the Biogeography-Based Optimization (BBO) algorithm, which integrates size, shape, and topology optimization. …”
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  10. 50
    Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli.

    Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. by Dinh K. Tang (20469082)

    Published 2024
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  11. 51
    Comparison between Bisection and Newton-Raphson in terms of (A) total time consumed, and (B) maximum computation rate.

    Comparison between Bisection and Newton-Raphson in terms of (A) total time consumed, and (B) maximum computation rate. by Hend Bayoumi (22693738)

    Published 2025
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  12. 52
    The process of optimizing RPGA by Q-Learning.

    The process of optimizing RPGA by Q-Learning. by Yicheng Liu (2179626)

    Published 2025
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  13. 53
    Comparisons of computation rate performance for different offloading algorithms.for N = 10, 20, 30.

    Comparisons of computation rate performance for different offloading algorithms.for N = 10, 20, 30. by Hend Bayoumi (22693738)

    Published 2025
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  14. 54
    Comparison of total time consumed for different offloading algorithms.for N = 10, 20, 30.

    Comparison of total time consumed for different offloading algorithms.for N = 10, 20, 30. by Hend Bayoumi (22693738)

    Published 2025
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  15. 55
    Simulation of dense parameter pairs and optimal model output.

    Simulation of dense parameter pairs and optimal model output. by Yen-Ju Chen (354876)

    Published 2025
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  16. 56
    Swarm intelligence algorithms for multi-objective IMP

    Swarm intelligence algorithms for multi-objective IMP by Francisco Muñoz (9455441)

    Published 2020
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  17. 57
    Optimization of seat allocation with fixed prices: An application of railway revenue management in China

    Optimization of seat allocation with fixed prices: An application of railway revenue management in China by Wuyang Yuan (5635121)

    Published 2020
    “…To evaluate the performance of seat-based control, we build a Discrete-Time Markov Chain model to describe the ticket reservation process and then design a genetic algorithm to find approximate solutions. …”
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  18. 58
    The data processing and analysis pipeline.

    The data processing and analysis pipeline. by Xin Zhang (35492)

    Published 2025
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  19. 59
    mAP@0.5 line charts for different models.

    mAP@0.5 line charts for different models. by Meiling Shi (13148944)

    Published 2024
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  20. 60
    Model selection by BO based on RCV(nv) from the simulated data with different noise levels.

    Model selection by BO based on RCV(nv) from the simulated data with different noise levels. by László Zimányi (2649973)

    Published 2021
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