Search alternatives:
process optimization » model optimization (Expand Search)
while process » whole process (Expand Search), cycle process (Expand Search), like process (Expand Search)
step » stem (Expand Search)
Showing 21 - 40 results of 142 for search '(( final while process optimization algorithm ) OR ( binary step process optimization algorithm ))', query time: 0.35s Refine Results
  1. 21
    As for Fig 2, we present failure rates as a function of the cohort size (vertical axis) versus the number of distractors (horizontal axis), for the Smyth and McClave baseline algorithm from [76].

    As for Fig 2, we present failure rates as a function of the cohort size (vertical axis) versus the number of distractors (horizontal axis), for the Smyth and McClave baseline algor... by Daniela Huppenkothen (9174507)

    Published 2020
    Save to List
    Saved in:
  2. 22
    GA process.

    GA process. by Jianpeng Zhang (528185)

    Published 2025
    “…Genetic algorithm is utilized to solve and optimize the data, one-dimensional multi-scale convolutional neural network is combined with gated recurrent unit to improve the network intrusion detection model, and finally the detection and defense of industrial control network intrusion is completed. …”
    Save to List
    Saved in:
  3. 23
    Noninvasive Assessment of hiPSC Differentiation toward Cardiomyocytes Using Pretrained Convolutional Neural Networks and the Channel Pruning Algorithm

    Noninvasive Assessment of hiPSC Differentiation toward Cardiomyocytes Using Pretrained Convolutional Neural Networks and the Channel Pruning Algorithm by Yujie Duan (12207567)

    Published 2024
    Save to List
    Saved in:
  4. 24
    Visual process of feature extraction.

    Visual process of feature extraction. by XiuZhi Qi (18555018)

    Published 2024
    Save to List
    Saved in:
  5. 25
    Algorithm comparison test results.

    Algorithm comparison test results. by Hang Ren (1312905)

    Published 2025
    Save to List
    Saved in:
  6. 26
    Material parameters.

    Material parameters. by Dapeng Wang (250459)

    Published 2023
    “…Finally, an optimization analysis of lining crack expansion and maintenance was carried out in a railway tunnel. …”
    Save to List
    Saved in:
  7. 27
    S1 File -

    S1 File - by Dapeng Wang (250459)

    Published 2023
    “…Finally, an optimization analysis of lining crack expansion and maintenance was carried out in a railway tunnel. …”
    Save to List
    Saved in:
  8. 28
    Parameter values.

    Parameter values. by Dapeng Wang (250459)

    Published 2023
    “…Finally, an optimization analysis of lining crack expansion and maintenance was carried out in a railway tunnel. …”
    Save to List
    Saved in:
  9. 29
    PoD of cracks by ultrasonic method.

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

    Published 2023
    “…Finally, an optimization analysis of lining crack expansion and maintenance was carried out in a railway tunnel. …”
    Save to List
    Saved in:
  10. 30
    Time course curve of SIFs.

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

    Published 2023
    “…Finally, an optimization analysis of lining crack expansion and maintenance was carried out in a railway tunnel. …”
    Save to List
    Saved in:
  11. 31
    Configuration of the CRH3 train used in China.

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

    Published 2023
    “…Finally, an optimization analysis of lining crack expansion and maintenance was carried out in a railway tunnel. …”
    Save to List
    Saved in:
  12. 32
    Schematic diagrams of M-shaped wave.

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

    Published 2023
    “…Finally, an optimization analysis of lining crack expansion and maintenance was carried out in a railway tunnel. …”
    Save to List
    Saved in:
  13. 33
    Calculated train loads.

    Calculated train loads. by Dapeng Wang (250459)

    Published 2023
    “…Finally, an optimization analysis of lining crack expansion and maintenance was carried out in a railway tunnel. …”
    Save to List
    Saved in:
  14. 34
    Dimensions of the calculated model.

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

    Published 2023
    “…Finally, an optimization analysis of lining crack expansion and maintenance was carried out in a railway tunnel. …”
    Save to List
    Saved in:
  15. 35
    Crack size with three maintenance strategies.

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

    Published 2023
    “…Finally, an optimization analysis of lining crack expansion and maintenance was carried out in a railway tunnel. …”
    Save to List
    Saved in:
  16. 36
    Crack expansion trajectory.

    Crack expansion trajectory. by Dapeng Wang (250459)

    Published 2023
    “…Finally, an optimization analysis of lining crack expansion and maintenance was carried out in a railway tunnel. …”
    Save to List
    Saved in:
  17. 37
    Feature extraction model training process.

    Feature extraction model training process. by Fengning Liang (20927493)

    Published 2025
    Save to List
    Saved in:
  18. 38
    Dual UHPLC-HRMS Metabolomics and Lipidomics and Automated Data Processing Workflow for Comprehensive High-Throughput Gut Phenotyping

    Dual UHPLC-HRMS Metabolomics and Lipidomics and Automated Data Processing Workflow for Comprehensive High-Throughput Gut Phenotyping by P. Vangeenderhuysen (15854812)

    Published 2023
    “…To automate targeted processing, we optimized an R-based targeted peak extraction (TaPEx) algorithm relying on a database comprising retention time and mass-to-charge ratio (360 metabolites and 132 lipids), with batch-specific quality control curation. …”
    Save to List
    Saved in:
  19. 39
    Table2_A Gray Wolf Optimization-Based Improved Probabilistic Neural Network Algorithm for Surrounding Rock Squeezing Classification in Tunnel Engineering.DOCX

    Table2_A Gray Wolf Optimization-Based Improved Probabilistic Neural Network Algorithm for Surrounding Rock Squeezing Classification in Tunnel Engineering.DOCX by Xing Huang (129439)

    Published 2022
    “…The spread coefficient was the critical hyper-parameter in the PNN, and the improved gray wolf optimization (IGWO) algorithm was used to realize its efficient automatic optimization. …”
    Save to List
    Saved in:
  20. 40
    Table1_A Gray Wolf Optimization-Based Improved Probabilistic Neural Network Algorithm for Surrounding Rock Squeezing Classification in Tunnel Engineering.DOCX

    Table1_A Gray Wolf Optimization-Based Improved Probabilistic Neural Network Algorithm for Surrounding Rock Squeezing Classification in Tunnel Engineering.DOCX by Xing Huang (129439)

    Published 2022
    “…The spread coefficient was the critical hyper-parameter in the PNN, and the improved gray wolf optimization (IGWO) algorithm was used to realize its efficient automatic optimization. …”
    Save to List
    Saved in:

Search Tools: