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motion optimization » codon optimization (Expand Search), rational optimization (Expand Search), reaction optimization (Expand Search)
based optimization » whale optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
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lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
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Showing 61 - 80 results of 646 for search '(( lines based based optimization algorithm ) OR ( binary based motion optimization algorithm ))', query time: 0.55s Refine Results
  1. 61
    Optimization of tracking parameters based on <i>P</i><sub><i>swap</i></sub>.

    Optimization of tracking parameters based on <i>P</i><sub><i>swap</i></sub>. by Benjamin Gallois (10131683)

    Published 2021
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  2. 62
    Game-relationship-based Remanufacturing Scheduling Model with Sequence-dependent Setup Times Using Improved Discrete Particle Swarm Algorithm

    Game-relationship-based Remanufacturing Scheduling Model with Sequence-dependent Setup Times Using Improved Discrete Particle Swarm Algorithm by Anonymous Authors (for blind review purpose) (11523120)

    Published 2022
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  3. 63
    Most informative genes for predicting cell-line responses for Gefitinib.

    Most informative genes for predicting cell-line responses for Gefitinib. by Sofia P. Miranda (11418930)

    Published 2021
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  4. 64
    Gear meshing line.

    Gear meshing line. by Linyue Qiu (17319793)

    Published 2023
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  5. 65
    Operation curve comparison among the five algorithms in the 95 s trip.

    Operation curve comparison among the five algorithms in the 95 s trip. by Yunhu Huang (21402795)

    Published 2025
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  6. 66
    Operation curve comparison among the five algorithms in the 115 s trip.

    Operation curve comparison among the five algorithms in the 115 s trip. by Yunhu Huang (21402795)

    Published 2025
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  7. 67
    Operation curve comparison among the five algorithms in the 101s trip.

    Operation curve comparison among the five algorithms in the 101s trip. by Yunhu Huang (21402795)

    Published 2025
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  8. 68
    Histograms for each drug based on drug response (IC<sub>50</sub> values) for the GDSC dataset.

    Histograms for each drug based on drug response (IC<sub>50</sub> values) for the GDSC dataset. by Sofia P. Miranda (11418930)

    Published 2021
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  9. 69
    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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  10. 70
    The power magnitude of lines in scenario 2.

    The power magnitude of lines in scenario 2. by Dai Wan (20108122)

    Published 2024
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  11. 71
    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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  12. 72
    Pareto-optimized solution set under preventive maintenance strategy at 2-inspection maintenance.

    Pareto-optimized solution set under preventive maintenance strategy at 2-inspection maintenance. by Dapeng Wang (250459)

    Published 2023
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  13. 73
    Pareto-optimized solution set under essential maintenance strategy at 2-inspection maintenance.

    Pareto-optimized solution set under essential maintenance strategy at 2-inspection maintenance. by Dapeng Wang (250459)

    Published 2023
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  14. 74
    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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  15. 75
    Cell fishing: A similarity based approach and machine learning strategy for multiple cell lines-compound sensitivity prediction

    Cell fishing: A similarity based approach and machine learning strategy for multiple cell lines-compound sensitivity prediction by E. Tejera (7470644)

    Published 2019
    “…<div><p>The prediction of cell-lines sensitivity to a given set of compounds is a very important factor in the optimization of in-vitro assays. …”
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  16. 76
    Descriptions of the algorithms we tested and hyperparameters that we evaluated via nested cross validation.

    Descriptions of the algorithms we tested and hyperparameters that we evaluated via nested cross validation. by Sofia P. Miranda (11418930)

    Published 2021
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  17. 77
    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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  18. 78
    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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  19. 79
    Table2_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX

    Table2_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX by ShiJian Ding (11764646)

    Published 2021
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  20. 80
    Table1_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX

    Table1_Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines.XLSX by ShiJian Ding (11764646)

    Published 2021
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