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Showing 101 - 120 results of 8,639 for search 'feature patterns', query time: 0.15s Refine Results
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    Reservoir Fluid Identification Method Based on Multi-Feature Fusion by JIANG Guoqiang, WU Youbin, LAI Fuqiang, HUANG Zhaohui, YI Hongmei, LI Quan, LI Xu, WANG Qi, LUO Rongtao

    Published 2024-12-01
    “…We extract frequency domain information from well logging curves using time-frequency analysis methods, construct a set of time-frequency images, and extract local binary pattern (LBP) and histograms of oriented gradients (HOG) features from time-frequency image data to construct a fused feature matrix of LBP and HOG. …”
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    Spoofing speech detection algorithm based on joint feature and random forest by Jiaqi YU, Zhihua JIAN, Jia XU, Lin YOU, Yunlu WANG, Chao WU

    Published 2022-06-01
    Subjects: “…spoofing speech detection;acoustic feature;texture feature;uniform local binary pattern;random forest…”
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    Transfer learning based deep architecture for lung cancer classification using CT image with pattern and entropy based feature set by Nithya R, Vidhyapathi C.M

    Published 2025-08-01
    “…During the process of feature extraction, various features are derived from the segmented images, such as Local Gabor Transitional Pattern (LGTrP), Pyramid of Histograms of Oriented Gradients (PHOG), deep features and improved entropy-based features, all intended to improve the representation of the tumor areas. …”
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    TLR4/MyD88 expression patterns and novel genetic variants: association with aggressive clinicopathological features in colorectal cancer by Thai Tra Dang, Thai Tra Dang, Viet Nhat Pham, Ngoc Dung Tran, Thu Hang Ngo, Van Mao Can, Huy Hoang Nguyen, Thi Xuan Nguyen, Thanh Chung Dang

    Published 2025-07-01
    “…Combined TLR4/MyD88 scores ≥5 significantly predicted lymph node metastasis (42.9% vs 28.3%, p=0.046) and high-grade tumor budding (p=0.002).ConclusionsOur study identifies distinct TLR4/MyD88 expression patterns in CRC progression and novel genetic variants associated with aggressive tumor features. …”
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    Enhanced Kidney Stone Detection and Classification Using SVM and LBP Features by Hawkar K. Hama, Hamsa D. Majeed, Goran Saman Nariman

    Published 2025-01-01
    “…The segmentation phase follows, accurately identifying the kidney’s edges and regions of interest for effective feature extraction. The Local Binary Pattern (LBP) technique, combined with the support vector machine (SVM) algorithm serves as the primary components of the proposed model. …”
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    Construction of inherent geometric pattern for equal-area hexagonal discrete global grid systems by Fuli Luo, Tengfei Cui, Lei Wang, Zheng Wang, Shupeng Gao, Li Han

    Published 2024-12-01
    “…This paper introduces a geometric pattern quantification method for equal-area hexagonal DGGSs by calculating inter-level attribute similarities to identify a reference level, segmenting the spatial distribution image at this reference level, and fitting the boundaries of these sub-images to create iso-feature lines. …”
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