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wolf optimization » whale optimization (Expand Search), swarm optimization (Expand Search), _ optimization (Expand Search)
dose optimization » based optimization (Expand Search), model optimization (Expand Search), design optimization (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data dose » data due (Expand Search), data de (Expand Search)
Showing 1 - 9 results of 9 for search '(( binary data wolf optimization algorithm ) OR ( history data dose optimization algorithm ))', query time: 0.39s Refine Results
  1. 1
    Variants of history models used for training the general model using data of 40 patients.

    Variants of history models used for training the general model using data of 40 patients. by Tomasz Gutowski (17200042)

    Published 2023
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  2. 2
    The flowchart of the proposed algorithm.

    The flowchart of the proposed algorithm. by Muhammad Ayyaz Sheikh (18610943)

    Published 2024
    “…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …”
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  3. 3
    Summary of literature review.

    Summary of literature review. by Muhammad Ayyaz Sheikh (18610943)

    Published 2024
    “…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …”
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  4. 4
    Topic description.

    Topic description. by Muhammad Ayyaz Sheikh (18610943)

    Published 2024
    “…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …”
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  5. 5
    Notations along with their descriptions.

    Notations along with their descriptions. by Muhammad Ayyaz Sheikh (18610943)

    Published 2024
    “…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …”
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  6. 6
    Detail of the topics extracted from DUC2002.

    Detail of the topics extracted from DUC2002. by Muhammad Ayyaz Sheikh (18610943)

    Published 2024
    “…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …”
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  7. 7
    DosePI: A Comprehensive Dataset for Peristaltic Pump Accuracy Enhancement in Pharmaceutical Environments

    DosePI: A Comprehensive Dataset for Peristaltic Pump Accuracy Enhancement in Pharmaceutical Environments by Davide Privitera (20720334)

    Published 2025
    “…The dataset supports research in dosing system optimization and compensation algorithm development.…”
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  8. 8
    Table_1_An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.pdf

    Table_1_An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.pdf by Muhammad Awais (263096)

    Published 2024
    “…Next, a hybrid feature extraction approach is presented leveraging transfer learning from selected deep neural network models, InceptionV3 and DenseNet201, to extract comprehensive feature sets. To optimize feature selection, a customized binary Grey Wolf Algorithm is utilized, achieving an impressive 80% reduction in feature size while preserving key discriminative information. …”
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  9. 9
    Supplementary data

    Supplementary data by Joon Young Kim (22352152)

    Published 2025
    “…</i> The study retrospectively analyzed clinical and laboratory data from three Korean centers to develop and validate machine learning models predicting optimal methimazole dosing in children and adolescents. …”
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