Showing 141 - 160 results of 572 for search 'T54 (classification)', query time: 0.06s Refine Results
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    Deep-Learning-Based Method for the Identification of Typical Crops Using Dual-Polarimetric Synthetic Aperture Radar and High-Resolution Optical Images by Xiaoshuang Ma, Le Li, Yinglei Wu

    Published 2025-01-01
    “…Experimental results demonstrate that the proposed crop identification DeepLabV3+ (CI-DeepLabV3+) method outperforms traditional classification methods and the original DeepLabV3+ network, with an overall accuracy and F1 score of 94.54% and 94.55%, respectively. …”
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    Comparison of ultrasound features and lesion sites in dysfunctional arteriovenous fistula by Yin Wang, Xiao-mei Huang, Yi Zhang, Jingjing Li, Jun Li, Zheng Ye, Yu Peng, Xian-jin Zhang, Na Tang, Wen-wen Qiu, Li Xu

    Published 2024-12-01
    “…Among 185 patients, 100 (54.05%), 36 (19.46%), 22 (11.89%), 11 (5.95%), and 16 (8.65%) were classified into the intima-dominant, non-intima-dominant, valve obstruction, vascular calcification, and mixed groups, respectively. …”
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    Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM by Peipei Zeng, Shuimiao Kang, Shuimiao Kang, Fan Fan, Jiyuan Liu, Jiyuan Liu

    Published 2025-01-01
    “…Anomaly detection is a typical binary classification problem under the condition of unbalanced samples, which has been widely used in various fields of data mining. …”
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