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Showing 1 - 20 results of 153 for search 'primary cells model optimization algorithm', query time: 0.42s Refine Results
  1. 1
    Features selected by optimization algorithms.

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

    Published 2024
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  2. 2
    Descriptive statistics of algorithms.

    Descriptive statistics of algorithms. by Fizza Shafique (19996292)

    Published 2024
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  3. 3
    Trainable parameters for different algorithms.

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

    Published 2024
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  4. 4
    MLP vs classification algorithms.

    MLP vs classification algorithms. by Mohd Mustaqeem (19106494)

    Published 2024
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  5. 5
    Q-value of comparison of algorithms with WOA.

    Q-value of comparison of algorithms with WOA. by Fizza Shafique (19996292)

    Published 2024
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  6. 6
    p-values of comparison of algorithms with WOA.

    p-values of comparison of algorithms with WOA. by Fizza Shafique (19996292)

    Published 2024
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  7. 7
    primary mouse RT single cell RNA-seq

    primary mouse RT single cell RNA-seq by Mamy ANDRIANTERANAGNA (12913196)

    Published 2023
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  8. 8
    Distributions of model parameters mirror differentially expressed ion channel genes.

    Distributions of model parameters mirror differentially expressed ion channel genes. by Daniele Linaro (227790)

    Published 2022
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  9. 9
    Hybrid feature selection algorithm of CSCO-ROA.

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

    Published 2024
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  10. 10
    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
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  11. 11
    Proposed CVAE model.

    Proposed CVAE model. by Afnan M. Alhassan (18349378)

    Published 2024
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  12. 12
    Segmentation results of the proposed model.

    Segmentation results of the proposed model. by Afnan M. Alhassan (18349378)

    Published 2024
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  13. 13
    A Machine Learning-Optimized System for Pulsatile, Photo- and Chemotherapeutic Treatment Using Near-Infrared Responsive MoS<sub>2</sub>‑Based Microparticles in a Breast Cancer Model

    A Machine Learning-Optimized System for Pulsatile, Photo- and Chemotherapeutic Treatment Using Near-Infrared Responsive MoS<sub>2</sub>‑Based Microparticles in a Breast Cancer Mode... by Maria Kanelli (5494031)

    Published 2024
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  14. 14
    Algorithms and evaluation metrics integrated in the COPS framework.

    Algorithms and evaluation metrics integrated in the COPS framework. by Teemu J. Rintala (19333003)

    Published 2024
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  15. 15
    The workflow of the proposed model.

    The workflow of the proposed model. by Subathra Gunasekaran (19492680)

    Published 2024
    “…To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
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  16. 16
    Proposed model tuned hyperparameters.

    Proposed model tuned hyperparameters. by Subathra Gunasekaran (19492680)

    Published 2024
    “…To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
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  17. 17
    Proposed model sensitivity outcome.

    Proposed model sensitivity outcome. by Subathra Gunasekaran (19492680)

    Published 2024
    “…To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
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  18. 18
    Molecular modeling and SEC analysis of CAR and CD46 binding.

    Molecular modeling and SEC analysis of CAR and CD46 binding. by A. Manuel Liaci (20642831)

    Published 2025
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  19. 19
    Proposed model specificity and DSC outcomes.

    Proposed model specificity and DSC outcomes. by Subathra Gunasekaran (19492680)

    Published 2024
    “…To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
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  20. 20
    Accuracy comparison of proposed and other models.

    Accuracy comparison of proposed and other models. by Subathra Gunasekaran (19492680)

    Published 2024
    “…To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
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