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Showing 1 - 20 results of 519 for search '(( binary data acid optimization algorithm ) OR ( lines one model optimization algorithm ))', query time: 0.59s Refine Results
  1. 1
    The normalized acoustic resistance (blue lines) and reactance (red dotted lines) of the optimization case in Fig 7.

    The normalized acoustic resistance (blue lines) and reactance (red dotted lines) of the optimization case in Fig 7. by Xiaogang Li (299205)

    Published 2024
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  2. 2
    SUNRISE hybrids obtained from 36 maintainer lines (females, rows) crossed to 36 restorer lines (males, columns).

    SUNRISE hybrids obtained from 36 maintainer lines (females, rows) crossed to 36 restorer lines (males, columns). by Brigitte Mangin (336874)

    Published 2019
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  3. 3
    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm

    A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm by Anonymous authors (for blind review purpose) (6473313)

    Published 2021
    “…In particular, the first folder also contains the addition data applicable to deterministic model (indicated by the notes in the name of the file, i.e., "for deterministic model"), which directly gives the processing time and processing cost of the end-of-life products on the corresponding processing line.…”
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  4. 4
    Greedy optimization algorithm.

    Greedy optimization algorithm. by Alexis Bénichou (19832361)

    Published 2024
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  5. 5
    Overall rankings of optimization algorithms.

    Overall rankings of optimization algorithms. by Máté Mohácsi (20469514)

    Published 2024
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  6. 6
    Spearman correlation coefficient results for classification algorithms (predicted probabilities) and regression algorithms (predicted IC50 values).

    Spearman correlation coefficient results for classification algorithms (predicted probabilities) and regression algorithms (predicted IC50 values). by Sofia P. Miranda (11418930)

    Published 2021
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  7. 7
    DataSheet1_Multi-Objective Optimization Design of Ladle Refractory Lining Based on Genetic Algorithm.docx

    DataSheet1_Multi-Objective Optimization Design of Ladle Refractory Lining Based on Genetic Algorithm.docx by Ying Sun (23237)

    Published 2022
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  8. 8
    Train operation plan when <i>z</i>=0.

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

    Published 2023
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  9. 9
    Classification results for all subsampling scenarios and algorithms for Gefitinib.

    Classification results for all subsampling scenarios and algorithms for Gefitinib. by Sofia P. Miranda (11418930)

    Published 2021
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  10. 10
    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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  11. 11
    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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  12. 12
    Predictive ability as a function of training population size selected either 1° randomly or 2) by the CD-mean optimization algorithm of [23].

    Predictive ability as a function of training population size selected either 1° randomly or 2) by the CD-mean optimization algorithm of [23]. by Gilles Charmet (2079463)

    Published 2020
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  13. 13
    Regression results for all combinations of subsampling scenarios and algorithms for Gefitinib.

    Regression results for all combinations of subsampling scenarios and algorithms for Gefitinib. by Sofia P. Miranda (11418930)

    Published 2021
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  14. 14
    Average RMSE rank for all combinations of subsampling scenarios and algorithms.

    Average RMSE rank for all combinations of subsampling scenarios and algorithms. by Sofia P. Miranda (11418930)

    Published 2021
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  15. 15
    S1 File -

    S1 File - by Dapeng Wang (250459)

    Published 2023
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  16. 16
    Pareto-optimized solution set under essential maintenance strategy at 1-inspection maintenance.

    Pareto-optimized solution set under essential maintenance strategy at 1-inspection maintenance. by Dapeng Wang (250459)

    Published 2023
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  17. 17
    Pareto-optimized solution set under preventive maintenance strategy at 1-inspection maintenance.

    Pareto-optimized solution set under preventive maintenance strategy at 1-inspection maintenance. by Dapeng Wang (250459)

    Published 2023
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  18. 18
    Steady-State Simulation Performance at 1000 <i>W</i>/<i>m</i><sup>2</sup> (a) Conventional P&O Algorithm, (b) Proposed SF Algorithm.

    Steady-State Simulation Performance at 1000 <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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  19. 19
    Modelled view of cloud layer.

    Modelled view of cloud layer. by Shanthi Amgothu (17692146)

    Published 2023
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  20. 20
    Summary of AUC values across all combinations of subsampling scenario and algorithm.

    Summary of AUC values across all combinations of subsampling scenario and algorithm. by Sofia P. Miranda (11418930)

    Published 2021
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