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Showing 1 - 20 results of 26 for search 'lines based processes optimization algorithm', query time: 0.30s Refine Results
  1. 1
    Energy consumption in the PPO process.

    Energy consumption in the PPO process. by Yunhu Huang (21402795)

    Published 2025
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  2. 2
    Running time in the PPO process.

    Running time in the PPO process. by Yunhu Huang (21402795)

    Published 2025
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  3. 3
    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results

    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

    Published 2025
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  4. 4
    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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  5. 5
    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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  6. 6
    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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  7. 7
    SV detection workflow.

    SV detection workflow. by De-Min Duan (20685513)

    Published 2025
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  8. 8
    Post scan feature estimates and confidence ratings.

    Post scan feature estimates and confidence ratings. by Sam Hall-McMaster (10343795)

    Published 2025
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  9. 9
    Decoding results.

    Decoding results. by Sam Hall-McMaster (10343795)

    Published 2025
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  10. 10
    Subgroup analysis.

    Subgroup analysis. by Sam Hall-McMaster (10343795)

    Published 2025
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  11. 11
    Behavioral results.

    Behavioral results. by Sam Hall-McMaster (10343795)

    Published 2025
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  12. 12
    Learning dynamics on training tasks.

    Learning dynamics on training tasks. by Sam Hall-McMaster (10343795)

    Published 2025
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  13. 13
    Comparison of city decoders trained on session one and session two data.

    Comparison of city decoders trained on session one and session two data. by Sam Hall-McMaster (10343795)

    Published 2025
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  14. 14
    Validation tests of feature decoding during the associative memory paradigm.

    Validation tests of feature decoding during the associative memory paradigm. by Sam Hall-McMaster (10343795)

    Published 2025
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  15. 15
    A. Top – 14 days of continuous glucose monitor (CGM) data for a patient that spends all of their time within an optimal glucose range.

    A. Top – 14 days of continuous glucose monitor (CGM) data for a patient that spends all of their time within an optimal glucose range. by Jamison H. Burks (21029607)

    Published 2025
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  16. 16
    This Figure shows the flow of information between components when running a simulation.

    This Figure shows the flow of information between components when running a simulation. by Till Köster (11287803)

    Published 2024
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  17. 17
    Table 1_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.docx

    Table 1_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.docx by Hongwei Li (17402)

    Published 2025
    “…In response to such challenges, we proposed a generalizable navigation line extraction algorithm using classical image processing technologies. …”
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  18. 18
    Table 2_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.docx

    Table 2_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.docx by Hongwei Li (17402)

    Published 2025
    “…In response to such challenges, we proposed a generalizable navigation line extraction algorithm using classical image processing technologies. …”
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  19. 19
    Image 1_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.tif

    Image 1_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.tif by Hongwei Li (17402)

    Published 2025
    “…In response to such challenges, we proposed a generalizable navigation line extraction algorithm using classical image processing technologies. …”
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  20. 20
    Image 3_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.tif

    Image 3_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.tif by Hongwei Li (17402)

    Published 2025
    “…In response to such challenges, we proposed a generalizable navigation line extraction algorithm using classical image processing technologies. …”
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