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Showing 1 - 20 results of 423 for search '(( less based models optimization algorithm ) OR ( binary image models optimization algorithm ))', query time: 1.08s Refine Results
  1. 1
    The confidence curve of a binary image.

    The confidence curve of a binary image. by Dingming Yang (8505990)

    Published 2022
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  2. 2
    Performance of traditional ML algorithms for optimal offloading scheme.

    Performance of traditional ML algorithms for optimal offloading scheme. by Shehr Bano (20421706)

    Published 2024
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  3. 3
    Performance of different ensemble algorithms for optimal partitioning policy.

    Performance of different ensemble algorithms for optimal partitioning policy. by Shehr Bano (20421706)

    Published 2024
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  4. 4
    Performance of traditional ML algorithms for optimal partitioning scheme.

    Performance of traditional ML algorithms for optimal partitioning scheme. by Shehr Bano (20421706)

    Published 2024
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  5. 5
    Performance of different ensemble algorithms for optimal offloading policy.

    Performance of different ensemble algorithms for optimal offloading policy. by Shehr Bano (20421706)

    Published 2024
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  6. 6
    The confidence change of the binary image after iteration.

    The confidence change of the binary image after iteration. by Dingming Yang (8505990)

    Published 2022
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  7. 7
    Illustration of the transformed binary images of normal, benign, and malignant samples into grayscale.

    Illustration of the transformed binary images of normal, benign, and malignant samples into grayscale. by Tehnan I. A. Mohamed (16846175)

    Published 2023
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  8. 8
    Overview of the modeling approach using Marxan optimization algorithm.

    Overview of the modeling approach using Marxan optimization algorithm. by Boris Salak (18340030)

    Published 2024
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  9. 9
    SVR and MLPR algorithm flow optimized by GridSearchCV.

    SVR and MLPR algorithm flow optimized by GridSearchCV. by Jintao Li (448681)

    Published 2024
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  10. 10
    Overall systemic risk in banking networks with different matching algorithms.

    Overall systemic risk in banking networks with different matching algorithms. by Bo Zhu (118038)

    Published 2023
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  11. 11
    Overview of mobile-edge-cloud server-based system.

    Overview of mobile-edge-cloud server-based system. by Shehr Bano (20421706)

    Published 2024
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  12. 12
    The hyperparameters selected for CLPREM, as well as other settings of the model, were determined based on experience and testing.

    The hyperparameters selected for CLPREM, as well as other settings of the model, were determined based on experience and testing. by Xiaorui Wu (8322705)

    Published 2024
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  13. 13
    Flow chart of particle swarm algorithm.

    Flow chart of particle swarm algorithm. by Nour Eldeen Mahmoud Khalifa (19259450)

    Published 2024
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  14. 14
    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
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  15. 15
    ROC curve for binary classification.

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

    Published 2024
    “…To achieve this, we focused the study on addressing the challenge of image noise, which impacts the performance of deep learning models. …”
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  16. 16
    Confusion matrix for binary classification.

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

    Published 2024
    “…To achieve this, we focused the study on addressing the challenge of image noise, which impacts the performance of deep learning models. …”
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  17. 17
    Hyperparameter search space used in the optimization of the Basic DeepInsight-CNN.

    Hyperparameter search space used in the optimization of the Basic DeepInsight-CNN. by Leonides Medeiros Neto (10429179)

    Published 2023
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  18. 18
    Optimized network structure.

    Optimized network structure. by Menaa Nawaz (14304920)

    Published 2022
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  19. 19
    Experiment 2: Evaluating modularity-based consensus clustering pipelines on synthetic networks based on clustered real-world networks.

    Experiment 2: Evaluating modularity-based consensus clustering pipelines on synthetic networks based on clustered real-world networks. by Yasamin Tabatabaee (18095491)

    Published 2025
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  20. 20
    Tuning parameters of PID based on DA, AOA, POA, and GRO.

    Tuning parameters of PID based on DA, AOA, POA, and GRO. by H Abdelfattah (17854644)

    Published 2024
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