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    Machine and Deep Learning Models for Hypoxemia Severity Triage in CBRNE Emergencies by Santino Nanini, Mariem Abid, Yassir Mamouni, Arnaud Wiedemann, Philippe Jouvet, Stephane Bourassa

    Published 2024-12-01
    “…Voting Classifier ensembles showed slight metric gains but did not outperform individually optimized models, facing a precision-sensitivity tradeoff and slightly lower F1-scores for key severity levels. …”
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    PBX micro defect characterization by using deep learning and image processing of micro CT images by Liang-liang Lv, Wei-bin Zhang, Xiao-dong Pan, Gong-ping Li, Cui Zhang

    Published 2025-06-01
    “…We train and evaluate PBX_SegNet on PBX defect dataset which consists of images acquired by micro computed tomography (μCT). Using the same test dataset, the proposed method was compared and evaluated against four mainstream segmentation methods based on deep learning. …”
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