Search alternatives:
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
complement low » complement _ (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
low algorithm » new algorithm (Expand Search), box algorithm (Expand Search), coa algorithm (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
Showing 81 - 100 results of 1,119 for search '(((( complement low algorithm ) OR ( relevant data algorithm ))) OR ( level coding algorithm ))*', query time: 0.41s Refine Results
  1. 81
    Predicting CO<sub>2</sub> Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms

    Predicting CO<sub>2</sub> Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

    Published 2025
    Save to List
    Saved in:
  2. 82
    Image processing algorithm.

    Image processing algorithm. by Madison Shoraka (22171205)

    Published 2025
    Save to List
    Saved in:
  3. 83
    Results of RF algorithm screening factors.

    Results of RF algorithm screening factors. by Jintao Li (448681)

    Published 2024
    Save to List
    Saved in:
  4. 84
    RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices

    RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices by RealBench RealBench (22275393)

    Published 2025
    “…<br>│ └── level4/ # Level 4 projects (expert complexity).<br>├── src/ # Main source code for the RealBench framework.…”
    Save to List
    Saved in:
  5. 85
    Mean values of different benchmark functions.

    Mean values of different benchmark functions. by Jalal- ud-Din (21474307)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  6. 86
    Detail of benchmark functions comparison.

    Detail of benchmark functions comparison. by Jalal- ud-Din (21474307)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  7. 87
    Average execution time (in seconds) of different benchmark functions.

    Average execution time (in seconds) of different benchmark functions. by Jalal- ud-Din (21474307)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  8. 88
    Stander deviation values of different benchmark functions.

    Stander deviation values of different benchmark functions. by Jalal- ud-Din (21474307)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  9. 89
    Comparison of different crossover operators.

    Comparison of different crossover operators. by Jalal- ud-Din (21474307)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  10. 90
    Flowchart of the proposed Margin Weighted Robust Discriminant Score (MW-RDS) algorithm.

    Flowchart of the proposed Margin Weighted Robust Discriminant Score (MW-RDS) algorithm. by Sheema Gul (21519289)

    Published 2025
    Save to List
    Saved in:
  11. 91
    <b>Long-term evaluation of pollution</b><b>dynamics</b><b>in West Lake Taihu, China: Enhanced WQI and TLI models for improved accuracy and management relevance</b>

    <b>Long-term evaluation of pollution</b><b>dynamics</b><b>in West Lake Taihu, China: Enhanced WQI and TLI models for improved accuracy and management relevance</b> by Bo Chao (1916083)

    Published 2025
    Save to List
    Saved in:
  12. 92
    <b>Codes for "Fatigue analysis of wind turbine and load reduction through wind-farm-level yaw control"</b>

    <b>Codes for "Fatigue analysis of wind turbine and load reduction through wind-farm-level yaw control"</b> by Yize Wang (19535173)

    Published 2024
    “…<p dir="ltr">The farm-level yaw control optimization algorithm Codes for "Fatigue analysis of wind turbine and load reduction through wind-farm-level yaw control"</p>…”
    Save to List
    Saved in:
  13. 93
    Accuracy of different electrical and optical neural networks for various input noise levels.

    Accuracy of different electrical and optical neural networks for various input noise levels. by Reyhane Ahmadi (14857363)

    Published 2024
    Save to List
    Saved in:
  14. 94
    Summary of currently used data sets on lie detection.

    Summary of currently used data sets on lie detection. by Dmitri Bershadskyy (14684464)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  15. 95
    Outcomes of interest and corresponding measure/source.

    Outcomes of interest and corresponding measure/source. by Anne Lübbeke (3918686)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  16. 96
    The four areas of interest to the patients.

    The four areas of interest to the patients. by Anne Lübbeke (3918686)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  17. 97
    An example of a complication.

    An example of a complication. by Anne Lübbeke (3918686)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  18. 98
    Importance of perceived benefits of hip replacement (n = 275 patients’ responses).

    Importance of perceived benefits of hip replacement (n = 275 patients’ responses). by Anne Lübbeke (3918686)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  19. 99
    Baseline characteristics.

    Baseline characteristics. by Anne Lübbeke (3918686)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  20. 100
    Building blocks of the project.

    Building blocks of the project. by Anne Lübbeke (3918686)

    Published 2024
    Subjects:
    Save to List
    Saved in:

Search Tools: