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Showing 121 - 140 results of 254 for search '(( binary also required optimization algorithm ) OR ( less based process optimization algorithm ))', query time: 0.57s Refine Results
  1. 121
    Pe investigation of the SST-CRN under fading channels.

    Pe investigation of the SST-CRN under fading channels. by Saraswathi M. (19353597)

    Published 2024
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  2. 122
    Pnf analysis of the SST-CRN model.

    Pnf analysis of the SST-CRN model. by Saraswathi M. (19353597)

    Published 2024
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  3. 123
    Flowchart of CSA.

    Flowchart of CSA. by Saraswathi M. (19353597)

    Published 2024
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  4. 124
    Pe analysis of the SST-CRN model under non-fading channels.

    Pe analysis of the SST-CRN model under non-fading channels. by Saraswathi M. (19353597)

    Published 2024
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  5. 125
    Probability of detection analysis of SST-CRN model under fading channels.

    Probability of detection analysis of SST-CRN model under fading channels. by Saraswathi M. (19353597)

    Published 2024
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  6. 126
    Pd analysis of the SST-CRN model under fading channels.

    Pd analysis of the SST-CRN model under fading channels. by Saraswathi M. (19353597)

    Published 2024
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  7. 127
    Probability of error analysis of SST-CRN under fading channels.

    Probability of error analysis of SST-CRN under fading channels. by Saraswathi M. (19353597)

    Published 2024
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  8. 128
    Pmd analysis of the SST-CRN model.

    Pmd analysis of the SST-CRN model. by Saraswathi M. (19353597)

    Published 2024
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  9. 129
    Pd analysis of the SST-CRN model under non-fading channels.

    Pd analysis of the SST-CRN model under non-fading channels. by Saraswathi M. (19353597)

    Published 2024
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  10. 130
    Structure of DBN model.

    Structure of DBN model. by Saraswathi M. (19353597)

    Published 2024
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  11. 131
    Probability of error analysis of SST-CRN model under non-fading channels.

    Probability of error analysis of SST-CRN model under non-fading channels. by Saraswathi M. (19353597)

    Published 2024
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  12. 132
    GA process.

    GA process. by Jianpeng Zhang (528185)

    Published 2025
    “…GA is used to optimize the feature selection process to identify the key feature subsets that have the greatest impact on model performance. …”
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  13. 133
    Performance comparison of our proposed model with existing approaches for cattle weight prediction using machine learning and deep learning techniques.

    Performance comparison of our proposed model with existing approaches for cattle weight prediction using machine learning and deep learning techniques. by Md Junayed Hossain (22615268)

    Published 2025
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  14. 134
    Visualization of Residuals across different models applied in our research.

    Visualization of Residuals across different models applied in our research. by Md Junayed Hossain (22615268)

    Published 2025
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  15. 135
    Proposed architecture of our research.

    Proposed architecture of our research. by Md Junayed Hossain (22615268)

    Published 2025
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  16. 136
    Validation Loss vs. Training Loss Curves for the CNN architectures and EfficientNet B3 model evaluated in this study.

    Validation Loss vs. Training Loss Curves for the CNN architectures and EfficientNet B3 model evaluated in this study. by Md Junayed Hossain (22615268)

    Published 2025
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  17. 137
    A summary of the dataset containing information on each cattle’s weight, breed, and height.

    A summary of the dataset containing information on each cattle’s weight, breed, and height. by Md Junayed Hossain (22615268)

    Published 2025
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  18. 138
    Error case analysis using LIME visualization on cattle’s weight prediction.

    Error case analysis using LIME visualization on cattle’s weight prediction. by Md Junayed Hossain (22615268)

    Published 2025
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  19. 139
    Height-Weight correlation and breed distribution of cattle in the dataset.

    Height-Weight correlation and breed distribution of cattle in the dataset. by Md Junayed Hossain (22615268)

    Published 2025
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  20. 140
    Comparison of Actual vs. Predicted values across different models used in this study.

    Comparison of Actual vs. Predicted values across different models used in this study. by Md Junayed Hossain (22615268)

    Published 2025
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