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Showing 1 - 20 results of 51 for search '(( binary data process optimisation algorithm ) OR ( final batch model optimization algorithm ))', query time: 1.06s Refine Results
  1. 1
    Iterative algorithm to optimize the distribution of the <i>batches</i>.

    Iterative algorithm to optimize the distribution of the <i>batches</i>. by Martin Bicher (10852788)

    Published 2022
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  2. 2
    Analysis and design of algorithms for the manufacturing process of integrated circuits

    Analysis and design of algorithms for the manufacturing process of integrated circuits by Sonia Fleytas (16856403)

    Published 2023
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  3. 3
    Third setting: batch optimization.

    Third setting: batch optimization. by Camille Gontier (9442304)

    Published 2023
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  4. 4
    Model results for daily COVID-19 caused deaths after every step of the iterative optimization algorithm.

    Model results for daily COVID-19 caused deaths after every step of the iterative optimization algorithm. by Martin Bicher (10852788)

    Published 2022
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  5. 5
    Algorithms runtime comparison.

    Algorithms runtime comparison. by Meilin Zhu (688698)

    Published 2025
    “…Finally, the correctness of the model is analyzed through numerical experiments, and the effectiveness of the proposed algorithm, the joint distribution strategy, and the disruption event processing idea of combining immediate processing and scheduled batch processing is analyzed. …”
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  6. 6
    Accumulated model results for daily COVID-19 caused deaths for all the simulations performed during the iterative optimization.

    Accumulated model results for daily COVID-19 caused deaths for all the simulations performed during the iterative optimization. by Martin Bicher (10852788)

    Published 2022
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  7. 7
    Solution results of different algorithms.

    Solution results of different algorithms. by Meilin Zhu (688698)

    Published 2025
    “…Finally, the correctness of the model is analyzed through numerical experiments, and the effectiveness of the proposed algorithm, the joint distribution strategy, and the disruption event processing idea of combining immediate processing and scheduled batch processing is analyzed. …”
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  8. 8
    Pre-optimization iteration process.

    Pre-optimization iteration process. by Meilin Zhu (688698)

    Published 2025
    “…Finally, the correctness of the model is analyzed through numerical experiments, and the effectiveness of the proposed algorithm, the joint distribution strategy, and the disruption event processing idea of combining immediate processing and scheduled batch processing is analyzed. …”
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  9. 9
    Proposed RVCNet architecture.

    Proposed RVCNet architecture. by Fatema Binte Alam (17708708)

    Published 2023
    “…Finally, these results are compared with some recent deep-learning models. …”
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  10. 10
    The ROC curves of the proposed RVCNet.

    The ROC curves of the proposed RVCNet. by Fatema Binte Alam (17708708)

    Published 2023
    “…Finally, these results are compared with some recent deep-learning models. …”
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  11. 11
    Radiography X-ray image from the dataset.

    Radiography X-ray image from the dataset. by Fatema Binte Alam (17708708)

    Published 2023
    “…Finally, these results are compared with some recent deep-learning models. …”
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  12. 12
    Confusion matrix of proposed RVCNet.

    Confusion matrix of proposed RVCNet. by Fatema Binte Alam (17708708)

    Published 2023
    “…Finally, these results are compared with some recent deep-learning models. …”
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  13. 13
    Results of multiple runs for RVCNet.

    Results of multiple runs for RVCNet. by Fatema Binte Alam (17708708)

    Published 2023
    “…Finally, these results are compared with some recent deep-learning models. …”
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  14. 14
    Basic methodology of the overall system.

    Basic methodology of the overall system. by Fatema Binte Alam (17708708)

    Published 2023
    “…Finally, these results are compared with some recent deep-learning models. …”
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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
    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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  19. 19
    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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  20. 20
    ResNeXt101 training and results.

    ResNeXt101 training and results. 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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