Showing 21 - 40 results of 1,135 for search 'T13 (classification)', query time: 0.07s Refine Results
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    Complete chloroplast genomes of 13 species of the Impatiens genus for genomic features and phylogenetic relationships studies by Qinqin Yong, Meijun Li, Zhi Li, Chao Luo, Jinling Zhang, Xinxiang Bai

    Published 2025-02-01
    “…Our phylogenetic tree shows that all 13 species belong to Section Impatiens. And supported the classification of I. reptans and I. rhombifolia should as synonyms (BS = 100/PP = 1.00). …”
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    Adaptive Oversampling via Density Estimation for Online Imbalanced Classification by Daeun Lee, Hyunjoong Kim

    Published 2025-01-01
    “…Experimental evaluations across synthetic and real-world datasets demonstrated that the proposed method achieved up to a 13.3 times improvement in classification performance over established oversampling methods and up to a 1.66 times better performance over adaptive rebalancing approaches, while requiring significantly less memory. …”
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    An Incremental Self-Adaptive Wood Species Classification Prototype System by Peng Zhao, Zhen-Yu Li, Yue Li

    Published 2019-01-01
    “…Then, these wood samples are considered as a new known species and are sent into the classifiers, SVDD and BP neural network, to train them again. Experiments on 13 wood species prove the effectiveness of our prototype system with an overall classification accuracy of above 95%.…”
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    Perfusion MRI in automatic classification of multiple sclerosis lesion subtypes by Ehsan Homayouny, Rasoul Mahdavifar Khayati, Seyed Massood Nabavi, Vania Karami

    Published 2022-06-01
    “…Adding 3‐Tesla perfusion MRI to the proposed model for the subtype classification led to an increment of about 7% and 13% in the sensitivity of acute and chronic lesion classifications, respectively. …”
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    ECG heartbeat classification using progressive moving average transform by Rabah Mokhtari, Samir Brahim Belhouari, Khelil Kassoul, Abderraouf Hocini

    Published 2025-02-01
    “…The approach aims to enhance signal analysis and classification, particularly in the context of heartbeat classification. …”
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