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Showing 21 - 40 results of 86 for search '(( binary based wolf optimization algorithm ) OR ( final layer complex optimization algorithm ))', query time: 0.40s Refine Results
  1. 21
    Comparative discussion based on routing.

    Comparative discussion based on routing. by Shanthi Amgothu (17692146)

    Published 2023
    “…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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  2. 22
    Comparative discussion on database-1.

    Comparative discussion on database-1. by Shanthi Amgothu (17692146)

    Published 2023
    “…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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  3. 23
    Simulation parameter.

    Simulation parameter. by Shanthi Amgothu (17692146)

    Published 2023
    “…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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  4. 24
    Systematic model of fog-cloud COVID prediction.

    Systematic model of fog-cloud COVID prediction. by Shanthi Amgothu (17692146)

    Published 2023
    “…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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  5. 25
    Comparative discussion on database-2.

    Comparative discussion on database-2. by Shanthi Amgothu (17692146)

    Published 2023
    “…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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  6. 26
    Solution encoding.

    Solution encoding. by Shanthi Amgothu (17692146)

    Published 2023
    “…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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  7. 27
    Architectural view of DNFN.

    Architectural view of DNFN. by Shanthi Amgothu (17692146)

    Published 2023
    “…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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  8. 28
    Architecture of Deep LSTM.

    Architecture of Deep LSTM. by Shanthi Amgothu (17692146)

    Published 2023
    “…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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  9. 29
    Architectural view of PSP-Net.

    Architectural view of PSP-Net. by Shanthi Amgothu (17692146)

    Published 2023
    “…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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  10. 30
    Simulation parameters.

    Simulation parameters. by Shanthi Amgothu (17692146)

    Published 2023
    “…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …”
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  11. 31
    Algorithm comparison test results.

    Algorithm comparison test results. by Hang Ren (1312905)

    Published 2025
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  12. 32
    Results of KNN.

    Results of KNN. by Balraj Preet Kaur (20370832)

    Published 2024
    “…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  13. 33
    Comparison of key techniques in their literature.

    Comparison of key techniques in their literature. by Balraj Preet Kaur (20370832)

    Published 2024
    “…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  14. 34
    Ensemble model architecture.

    Ensemble model architecture. by Balraj Preet Kaur (20370832)

    Published 2024
    “…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  15. 35
    SHAP analysis mean value.

    SHAP analysis mean value. by Balraj Preet Kaur (20370832)

    Published 2024
    “…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  16. 36
    Proposed methodology.

    Proposed methodology. by Balraj Preet Kaur (20370832)

    Published 2024
    “…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  17. 37
    Comparison table of the proposed model.

    Comparison table of the proposed model. by Balraj Preet Kaur (20370832)

    Published 2024
    “…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  18. 38
    SHAP analysis.

    SHAP analysis. by Balraj Preet Kaur (20370832)

    Published 2024
    “…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  19. 39
    Confusion matrix of ensemble model.

    Confusion matrix of ensemble model. by Balraj Preet Kaur (20370832)

    Published 2024
    “…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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  20. 40
    Dataset description.

    Dataset description. by Balraj Preet Kaur (20370832)

    Published 2024
    “…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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