Showing 41 - 60 results of 862 for search 'S14 (classification)', query time: 0.07s Refine Results
  1. 41

    Knee phenotypes distribution according to CPAK classification in Turkish population by Vahit Emre Özden, Göksel Dikmen, Kayahan Karaytuğ, Arda Mavi, Yılmaz Onat Köylüoğlu, İsmail Remzi Tözün

    Published 2024-11-01
    “…Objective: This study aimed to investigate the distribution of knee phenotypes based on the CPAK classification in healthy nonarthritic subjects and osteoarthritic patients in Türkiye. …”
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  2. 42

    Achieving Faster and Smarter Chest X-Ray Classification With Optimized CNNs by Hassen Louati, Ali Louati, Khalid Mansour, Elham Kariri

    Published 2025-01-01
    “…In this paper, we present a three-stage framework to enhance X-ray image classification using Neural Architecture Search (NAS), Transfer Learning, and Model Compression via filter pruning, specifically targeting the ChestX-Ray14 dataset. …”
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    The formation, development and classification of rail corrugation: a survey on Chinese metro by Yang Wang, Hong Xiao, Zhihai Zhang, Xuhao Cui, Yihao Chi, Mahantesh M. Nadakatti

    Published 2024-08-01
    “…The present study conducted extensive field surveys and tracking tests across 14 Chinese metro lines. By employing t-distributed stochastic neighbor embedding (t-SNE) for dimensional reduction and employing the unsupervised clustering algorithm DBSCAN, the research redefines the classification of metro rail corrugation based on characteristic information. …”
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    Genome-wide identification of the Sec14 gene family and the response to salt and drought stress in soybean (Glycine max) by Jinyu Zhang, Liying Zou, Li Wang, Dongchao Zhang, Ao Shen, Yongqi Lei, Maoni Chao, Xinjuan Xu, Zhiwei Xue, Zhongwen Huang

    Published 2025-01-01
    “…Based on the classification method used for Arabidopsis Sec14 members, GmSec14s can be categorized into three classes: GmPITP1 to GmPITP37, GmSFH1 to GmSFH25, and GmPATL1 to GmPATL15. …”
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    An automatic cervical cell classification model based on improved DenseNet121 by Yue Zhang, Chunyu Ning, Wenjing Yang

    Published 2025-01-01
    “…The accuracy of A2SDNet121 for two and seven-classification tasks on the Herlev dataset is 99.75% and 99.14%, respectively. …”
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