Search alternatives:
based optimization » whale optimization (Expand Search)
primary aim » primary care (Expand Search), primary data (Expand Search)
Showing 1 - 20 results of 223 for search '(( primary aim _ optimization algorithm ) OR ( binary image based optimization algorithm ))', query time: 0.67s Refine Results
  1. 1
    Comparison of Satisfaction between the proposed algorithm and the traditional ant colony algorithm.

    Comparison of Satisfaction between the proposed algorithm and the traditional ant colony algorithm. by Yang Yu (4292)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  2. 2
    ROC curve for binary classification.

    ROC curve for binary classification. by Nicodemus Songose Awarayi (18414494)

    Published 2024
    “…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”
    Save to List
    Saved in:
  3. 3
    Confusion matrix for binary classification.

    Confusion matrix for binary classification. by Nicodemus Songose Awarayi (18414494)

    Published 2024
    “…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”
    Save to List
    Saved in:
  4. 4
    A* Path-Finding Algorithm to Determine Cell Connections

    A* Path-Finding Algorithm to Determine Cell Connections by Max Weng (22327159)

    Published 2025
    “…Pixel paths were classified using a z-score brightness threshold of 1.21, optimized for noise reduction and accuracy. The A* algorithm then evaluated connectivity by minimizing Euclidean distance and heuristic cost between cells. …”
    Save to List
    Saved in:
  5. 5
    The illustration depicts our CQ-CNN architecture for binary image classification.

    The illustration depicts our CQ-CNN architecture for binary image classification. by Mominul Islam (3513758)

    Published 2025
    Save to List
    Saved in:
  6. 6
    Flowchart of simple ant colony algorithm.

    Flowchart of simple ant colony algorithm. by Yang Yu (4292)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  7. 7
    Layout of the primary 3D manufacturing cell facility [5].

    Layout of the primary 3D manufacturing cell facility [5]. by Yanlin Zhao (251552)

    Published 2024
    Save to List
    Saved in:
  8. 8
    Dataset 2: Zip file containing the Tables of the presented method and results

    Dataset 2: Zip file containing the Tables of the presented method and results by Suchismita Behera (22027316)

    Published 2025
    Save to List
    Saved in:
  9. 9
    Ant colony algorithm function and parameter explanation.

    Ant colony algorithm function and parameter explanation. by Yang Yu (4292)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  10. 10
    Acc Pareto optimal front.

    Acc Pareto optimal front. by Laura Dioşan (13119102)

    Published 2022
    Save to List
    Saved in:
  11. 11
    AUC Pareto optimal front.

    AUC Pareto optimal front. by Laura Dioşan (13119102)

    Published 2022
    Save to List
    Saved in:
  12. 12
    Dataset 1: Zip file containing the figures of the presented methods and results in jpeg files

    Dataset 1: Zip file containing the figures of the presented methods and results in jpeg files by Suchismita Behera (22027316)

    Published 2025
    “…<p dir="ltr">Figures represented here illustrates the <b>metaheuristic-based band selection framework</b> for hyperspectral image classification using <b>Binary Jaya Algorithm enhanced with a mutation operator</b> to improve population diversity and avoid premature convergence. …”
    Save to List
    Saved in:
  13. 13
    Table_4_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX

    Table_4_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX by Josefa Díaz-Álvarez (5572427)

    Published 2022
    “…We aimed to develop algorithms for the three main issues in the diagnosis: discrimination between patients with AD or FTD and healthy controls (HC), differential diagnosis between behavioral FTD (bvFTD) and AD, and differential diagnosis between primary progressive aphasia (PPA) variants. …”
    Save to List
    Saved in:
  14. 14
    Table_1_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX

    Table_1_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX by Josefa Díaz-Álvarez (5572427)

    Published 2022
    “…We aimed to develop algorithms for the three main issues in the diagnosis: discrimination between patients with AD or FTD and healthy controls (HC), differential diagnosis between behavioral FTD (bvFTD) and AD, and differential diagnosis between primary progressive aphasia (PPA) variants. …”
    Save to List
    Saved in:
  15. 15
    Table_2_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX

    Table_2_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX by Josefa Díaz-Álvarez (5572427)

    Published 2022
    “…We aimed to develop algorithms for the three main issues in the diagnosis: discrimination between patients with AD or FTD and healthy controls (HC), differential diagnosis between behavioral FTD (bvFTD) and AD, and differential diagnosis between primary progressive aphasia (PPA) variants. …”
    Save to List
    Saved in:
  16. 16
    Table_5_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.docx

    Table_5_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.docx by Josefa Díaz-Álvarez (5572427)

    Published 2022
    “…We aimed to develop algorithms for the three main issues in the diagnosis: discrimination between patients with AD or FTD and healthy controls (HC), differential diagnosis between behavioral FTD (bvFTD) and AD, and differential diagnosis between primary progressive aphasia (PPA) variants. …”
    Save to List
    Saved in:
  17. 17
    Table_3_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX

    Table_3_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.DOCX by Josefa Díaz-Álvarez (5572427)

    Published 2022
    “…We aimed to develop algorithms for the three main issues in the diagnosis: discrimination between patients with AD or FTD and healthy controls (HC), differential diagnosis between behavioral FTD (bvFTD) and AD, and differential diagnosis between primary progressive aphasia (PPA) variants. …”
    Save to List
    Saved in:
  18. 18
    Optimized model prediction performance.

    Optimized model prediction performance. by Guang Tu (22054865)

    Published 2025
    Save to List
    Saved in:
  19. 19
    Data_Sheet_1_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.PDF

    Data_Sheet_1_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.PDF by Josefa Díaz-Álvarez (5572427)

    Published 2022
    “…We aimed to develop algorithms for the three main issues in the diagnosis: discrimination between patients with AD or FTD and healthy controls (HC), differential diagnosis between behavioral FTD (bvFTD) and AD, and differential diagnosis between primary progressive aphasia (PPA) variants. …”
    Save to List
    Saved in:
  20. 20
    Data_Sheet_2_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.PDF

    Data_Sheet_2_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.PDF by Josefa Díaz-Álvarez (5572427)

    Published 2022
    “…We aimed to develop algorithms for the three main issues in the diagnosis: discrimination between patients with AD or FTD and healthy controls (HC), differential diagnosis between behavioral FTD (bvFTD) and AD, and differential diagnosis between primary progressive aphasia (PPA) variants. …”
    Save to List
    Saved in:

Search Tools: