Showing 1 - 20 results of 43 for search '(( binary based action optimization algorithm ) OR ( binary a object detection algorithm ))*', query time: 0.43s Refine Results
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    Table 1_A comparative analysis of binary and multi-class classification machine learning algorithms to detect current frailty status using the English longitudinal study of ageing... by Charmayne Mary Lee Hughes (12959972)

    Published 2025
    “…</p>Conclusion<p>Machine learning algorithms show promise for the detection of current frailty status, particularly in binary classification. …”
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    Data Sheet 1_Detection of litchi fruit maturity states based on unmanned aerial vehicle remote sensing and improved YOLOv8 model.docx by Changjiang Liang (21099887)

    Published 2025
    “…In addition, YOLOv8-FPDW was more competitive than mainstream object detection algorithms. The study predicted the optimal harvest period for litchis, providing scientific support for orchard batch harvesting and fine management.…”
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    Community Detection with Heterogeneous Block Covariance Model by Xiang Li (114679)

    Published 2025
    “…<p>Community detection is the task of clustering objects based on their pairwise relationships. …”
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    Result comparison with other existing models. by Md. Sabbir Hossain (9958939)

    Published 2025
    “…This study introduces a novel lung cancer detection method, which was mainly focused on Convolutional Neural Networks (CNN) and was later customized for binary and multiclass classification utilizing a publicly available dataset of chest CT scan images of lung cancer. …”
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    Dataset distribution. by Md. Sabbir Hossain (9958939)

    Published 2025
    “…This study introduces a novel lung cancer detection method, which was mainly focused on Convolutional Neural Networks (CNN) and was later customized for binary and multiclass classification utilizing a publicly available dataset of chest CT scan images of lung cancer. …”
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    CNN structure for feature extraction. by Md. Sabbir Hossain (9958939)

    Published 2025
    “…This study introduces a novel lung cancer detection method, which was mainly focused on Convolutional Neural Networks (CNN) and was later customized for binary and multiclass classification utilizing a publicly available dataset of chest CT scan images of lung cancer. …”
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    Association between crowding and oral habits. by Kengo Oka (1420585)

    Published 2025
    “…</p><p>Conclusion</p><p>For the detection of malocclusion in mixed dentition, AI-based binary classification models are a promising approach as a screening tool.…”