Search alternatives:
processing optimization » process optimization (Expand Search), routing optimization (Expand Search), prescribing optimisation (Expand Search)
process optimisation » process optimization (Expand Search), robust optimisation (Expand Search), process simulation (Expand Search)
primary data » primary care (Expand Search)
Showing 1 - 20 results of 140 for search 'primary data ((processing optimization) OR (process optimisation)) algorithm', query time: 0.31s Refine Results
  1. 1
    The parameter settings of the RF algorithm after parameter optimization.

    The parameter settings of the RF algorithm after parameter optimization. by Xini Fang (20861990)

    Published 2025
    Save to List
    Saved in:
  2. 2
    Features selected by optimization algorithms.

    Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

    Published 2024
    “…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …”
    Save to List
    Saved in:
  3. 3
    Parameter optimization results of the RF model improved by FCM clustering.

    Parameter optimization results of the RF model improved by FCM clustering. by Xini Fang (20861990)

    Published 2025
    Save to List
    Saved in:
  4. 4
    Iteration curve of the optimization process.

    Iteration curve of the optimization process. by Meijun Shang (22806461)

    Published 2025
    Save to List
    Saved in:
  5. 5
    Total primary energy demand by fuel in China.

    Total primary energy demand by fuel in China. by Da Lian (18880882)

    Published 2024
    Save to List
    Saved in:
  6. 6
    Construction process of RF.

    Construction process of RF. by Xini Fang (20861990)

    Published 2025
    “…Following this, the FCM clustering algorithm is utilized for pre-processing sample data to improve the efficiency and accuracy of data classification. …”
    Save to List
    Saved in:
  7. 7
    Principle of the SVM algorithm.

    Principle of the SVM algorithm. by Anfeng Zhu (17817144)

    Published 2024
    Save to List
    Saved in:
  8. 8
    Dendrogram of the stock prices.

    Dendrogram of the stock prices. by Muhammad Hilal Alkhudaydi (21560690)

    Published 2025
    “…<div><p>Many investors and financial managers view portfolio optimisation as a critical step in the management and selection processes. …”
    Save to List
    Saved in:
  9. 9
    Descriptive statistics on stock prices.

    Descriptive statistics on stock prices. by Muhammad Hilal Alkhudaydi (21560690)

    Published 2025
    “…<div><p>Many investors and financial managers view portfolio optimisation as a critical step in the management and selection processes. …”
    Save to List
    Saved in:
  10. 10
    Correlation heatmap of the principal components.

    Correlation heatmap of the principal components. by Muhammad Hilal Alkhudaydi (21560690)

    Published 2025
    “…<div><p>Many investors and financial managers view portfolio optimisation as a critical step in the management and selection processes. …”
    Save to List
    Saved in:
  11. 11
    Hybrid feature selection algorithm of CSCO-ROA.

    Hybrid feature selection algorithm of CSCO-ROA. by Afnan M. Alhassan (18349378)

    Published 2024
    “…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …”
    Save to List
    Saved in:
  12. 12
    DataSheet1_Optimal capacity configuration of the wind-storage combined frequency regulation system considering secondary frequency drop.docx

    DataSheet1_Optimal capacity configuration of the wind-storage combined frequency regulation system considering secondary frequency drop.docx by Dongdong Li (123985)

    Published 2023
    Save to List
    Saved in:
  13. 13
    Overview of the cohort definition process.

    Overview of the cohort definition process. by Nicola Lazzarini (3528197)

    Published 2022
    Save to List
    Saved in:
  14. 14
    Data_Sheet_1_Comparative analysis of machine learning algorithms for predicting Dubai property prices.docx

    Data_Sheet_1_Comparative analysis of machine learning algorithms for predicting Dubai property prices.docx by Abdulsalam Elnaeem Balila (17953838)

    Published 2024
    Save to List
    Saved in:
  15. 15
    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology

    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology by Pieter B. Burger (4172578)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  16. 16
    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology

    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology by Pieter B. Burger (4172578)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  17. 17
    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology

    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology by Pieter B. Burger (4172578)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  18. 18
    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology

    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology by Pieter B. Burger (4172578)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  19. 19
    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology

    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology by Pieter B. Burger (4172578)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  20. 20
    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology

    FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology by Pieter B. Burger (4172578)

    Published 2024
    Subjects:
    Save to List
    Saved in:

Search Tools: