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Showing 1 - 20 results of 25 for search '(( binary stem process optimization algorithm ) OR ( primary art models optimization algorithm ))*', query time: 0.44s Refine Results
  1. 1
    Trainable parameters for different algorithms.

    Trainable parameters for different algorithms. by Anwar Hossain Efat (19942283)

    Published 2024
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  2. 2
    Comparison of state-of-the-art method.

    Comparison of state-of-the-art method. by Subathra Gunasekaran (19492680)

    Published 2024
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  3. 3
    Architecture of proposed system model.

    Architecture of proposed system model. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  4. 4
    System model of the proposed method.

    System model of the proposed method. by Nanavath Kiran Singh Nayak (22184565)

    Published 2025
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  5. 5
    MLP vs classification algorithms.

    MLP vs classification algorithms. by Mohd Mustaqeem (19106494)

    Published 2024
    “…The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …”
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  6. 6
    SPAM-XAI compared with previous models.

    SPAM-XAI compared with previous models. by Mohd Mustaqeem (19106494)

    Published 2024
    “…The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …”
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  7. 7
    Internal architecture of the SPAM-XAI model.

    Internal architecture of the SPAM-XAI model. by Mohd Mustaqeem (19106494)

    Published 2024
    “…The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …”
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  8. 8
    Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf

    Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf by Cecilia Lindig-León (7889777)

    Published 2020
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  9. 9
    Overview of SPAM-XAI model complete architecture.

    Overview of SPAM-XAI model complete architecture. by Mohd Mustaqeem (19106494)

    Published 2024
    “…The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …”
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  10. 10
    Data_Sheet_1_Adaptive restraint design for a diverse population through machine learning.pdf

    Data_Sheet_1_Adaptive restraint design for a diverse population through machine learning.pdf by Wenbo Sun (531308)

    Published 2023
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  11. 11
    SPAM-XAI confusion matrix.

    SPAM-XAI confusion matrix. by Mohd Mustaqeem (19106494)

    Published 2024
    “…The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …”
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  12. 12
    Illustration of MLP.

    Illustration of MLP. by Mohd Mustaqeem (19106494)

    Published 2024
    “…The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …”
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  13. 13
    Dataset detail division.

    Dataset detail division. by Mohd Mustaqeem (19106494)

    Published 2024
    “…The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …”
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  14. 14
    Software defects types.

    Software defects types. by Mohd Mustaqeem (19106494)

    Published 2024
    “…The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …”
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  15. 15
    SMOTE representation.

    SMOTE representation. by Mohd Mustaqeem (19106494)

    Published 2024
    “…The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …”
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  16. 16
    Demonstration confusion matrix.

    Demonstration confusion matrix. by Mohd Mustaqeem (19106494)

    Published 2024
    “…The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …”
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  17. 17
    Analysis PC2 AU-ROC curve.

    Analysis PC2 AU-ROC curve. by Mohd Mustaqeem (19106494)

    Published 2024
    “…The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …”
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  18. 18
    PROMISE defects prediction attribute aspects.

    PROMISE defects prediction attribute aspects. by Mohd Mustaqeem (19106494)

    Published 2024
    “…The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …”
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  19. 19
    SPAM-XAI confusion matrix using PC2 dataset.

    SPAM-XAI confusion matrix using PC2 dataset. by Mohd Mustaqeem (19106494)

    Published 2024
    “…The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …”
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  20. 20
    SPAM-XAI using the PC1 dataset.

    SPAM-XAI using the PC1 dataset. by Mohd Mustaqeem (19106494)

    Published 2024
    “…The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …”
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