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Showing 1 - 20 results of 127 for search 'multiple recent selection algorithm', query time: 0.35s Refine Results
  1. 1
    Steps involved in genetic algorithm for feature selection.

    Steps involved in genetic algorithm for feature selection. by Mohd Sakib (20565228)

    Published 2025
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  2. 2
    Controlling FDR with multiple different <i>α</i> values.

    Controlling FDR with multiple different <i>α</i> values. by Aapo E. Korhonen (22530674)

    Published 2025
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  3. 3
    Box plot the selected feature for weekends and weekdays in the dataset.

    Box plot the selected feature for weekends and weekdays in the dataset. by Mohd Sakib (20565228)

    Published 2025
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  4. 4
    DMTD algorithm.

    DMTD algorithm. by Yunhu Huang (21402795)

    Published 2025
    “…On the basis of EITO<sub>E</sub>, we propose EITO<sub>P</sub> algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”
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  5. 5
    The results of fitting a phenomenological spiking neuronal model (the adaptive exponential integrate-and-fire model) to capture experimental recordings with multiple traces.

    The results of fitting a phenomenological spiking neuronal model (the adaptive exponential integrate-and-fire model) to capture experimental recordings with multiple traces. by Máté Mohácsi (20469514)

    Published 2024
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  6. 6
    Overall rankings of optimization algorithms.

    Overall rankings of optimization algorithms. by Máté Mohácsi (20469514)

    Published 2024
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  7. 7
    Run times of two algorithms.

    Run times of two algorithms. by Gourab Saha (8987405)

    Published 2025
    “…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …”
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  8. 8
    Actual vs predicted net demand for all three models.

    Actual vs predicted net demand for all three models. by Mohd Sakib (20565228)

    Published 2025
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  9. 9
    Pattern of the training and validating data for the last two months.

    Pattern of the training and validating data for the last two months. by Mohd Sakib (20565228)

    Published 2025
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  10. 10
    Fig 17 -

    Fig 17 - by Mohd Sakib (20565228)

    Published 2025
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  11. 11
    Weekdays and weekend patterns for net demand.

    Weekdays and weekend patterns for net demand. by Mohd Sakib (20565228)

    Published 2025
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  12. 12
    Plot for whole validation data for weekend training.

    Plot for whole validation data for weekend training. by Mohd Sakib (20565228)

    Published 2025
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  13. 13
    Overall performance evaluation on the validation data.

    Overall performance evaluation on the validation data. by Mohd Sakib (20565228)

    Published 2025
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  14. 14
    Wilcoxon signed-rank test results.

    Wilcoxon signed-rank test results. by Mohd Sakib (20565228)

    Published 2025
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  15. 15
    A basic structure of the bidirectional long short-term memory.

    A basic structure of the bidirectional long short-term memory. by Mohd Sakib (20565228)

    Published 2025
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  16. 16
    Fig 18 -

    Fig 18 - by Mohd Sakib (20565228)

    Published 2025
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  17. 17
    Performance evaluation of four samples on the validation data.

    Performance evaluation of four samples on the validation data. by Mohd Sakib (20565228)

    Published 2025
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  18. 18
    Fig 13 -

    Fig 13 - by Mohd Sakib (20565228)

    Published 2025
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  19. 19
    Overall performance evaluation of the training data.

    Overall performance evaluation of the training data. by Mohd Sakib (20565228)

    Published 2025
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  20. 20
    Overall performance metrics across ten runs on weekdays dataset.

    Overall performance metrics across ten runs on weekdays dataset. by Mohd Sakib (20565228)

    Published 2025
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