Showing 161 - 180 results of 28,660 for search 'Classification three', query time: 0.26s Refine Results
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    Classification of maize seed hyperspectral images based on variable-depth convolutional kernels by Yating Hu, Hongchen Zhang, Hongchen Zhang, Changming Li, Qianfu Su, Wei Wang

    Published 2025-06-01
    “…The VD-CNN consistently outperformed existing benchmark models, improving the classification accuracy by 3.14% over the best baseline. …”
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    Characterization of adrenal glands on computed tomography with a 3D V-Net-based model by Yuanchong Chen, Yaofeng Zhang, Xiaodong Zhang, Xiaoying Wang

    Published 2025-01-01
    “…It showed no significant difference comparing to radiology reports in external validation datasets 1 and lesion-containing groups of external validation datasets 2 (p = 1.000 and p > 0.05, respectively). Conclusion The 3D V-Net-based segmentation model of adrenal lesions can be used for the binary classification of adrenal glands. …”
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    Faster Dynamic Graph CNN: Faster Deep Learning on 3D Point Cloud Data by Jinseok Hong, Keeyoung Kim, Hongchul Lee

    Published 2020-01-01
    “…Geometric data are commonly expressed using point clouds, with most 3D data collection devices outputting data in this form. …”
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    Bony landmarks guided mapping of the osteophytes of the elbow osteoarthritis patients: a three dimensional computed tomograph based study by Renjie Chen, Guang Yang, Shangzhe Li, Haoyuan Deng, Hailong Zhang, Yi Lu

    Published 2025-07-01
    “…Methods 97 elbow OA patients with preoperative three dimensional computed tomograph (3D-CT) were enrolled in this retrospective study. 3D-CT of elbow joint were collected from database and the joint was divided into 11 regions, and patients were classified into three different groups according to the Qian’s ROM classification or Mayo Elbow Performance Score (MEPS) separately. …”
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    Internet of Medical Things–based decision system for automated classification of Alzheimer’s using three-dimensional views of magnetic resonance imaging scans by Umair Khan, Armughan Ali, Salabat Khan, Farhan Aadil, Mehr Yahya Durrani, Khan Muhammad, Ran Baik, Jong Weon Lee

    Published 2019-03-01
    “…Considering such requirement, a fully automated classification system is proposed. The proposed algorithm works on the hybrid feature vector combining the textural, statistical, and shape features extracted from three-dimensional views. …”
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    CHOOSING A 3D SCANNER FOR THE TASKS OF THE DESIGNER by Volodymyr Volodymyrovych Kuzmenko, Natalia Valentynivna Ostapenko

    Published 2025-02-01
    Subjects: “…design, 3D scanning, 3D scanning methods, 3D scanning method classification, hardware.…”
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    Local-non-local complementary learning network for 3D point cloud analysis by Ning Ye, Kaihao Feng, Sen Lin

    Published 2025-01-01
    “…While both local and non-local features are essential for effective 3D point cloud analysis, existing methods often fail to seamlessly integrate these complementary features. …”
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    Enhancing natural disaster image classification: an ensemble learning approach with inception and CNN models by Kashvi Ankitbhai Sheth, Rujuta Prajakt Kulkarni, G. K. Revathi

    Published 2024-12-01
    “…The core problem of this research is the rapid and accurate classification of natural disasters, which is essential for effective response and mitigation strategies. …”
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