Showing 1,841 - 1,860 results of 8,109 for search 'computing patterns', query time: 0.12s Refine Results
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    CDL: A fast and flexible library for the study of permutation sets with structural restrictions by Bei Zhou, Klas Markström, Søren Riis

    Published 2024-12-01
    “…Prominent examples of these restrictions include pattern avoidance, a topic of interest in both computer science and combinatorics, and never conditions, utilized in social choice and voting theory. …”
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    CFD modeling of movement of geobag for riverbank erosion control structures by Saman Shabani, Yuntong She, Carlos Frederico Lange

    Published 2025-08-01
    “…The failure velocity of geobags following the same pattern was determined based on a correlation with the experiment.…”
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    Enhancing pancreatic cancer detection in CT images through secretary wolf bird optimization and deep learning by Sandhya Mekala, Phani Kumar S

    Published 2025-06-01
    “…Then, features like Complete Local Binary Pattern (CLBP) with Discrete Wavelet Transformation (DWT), statistical features, and Shape Local Binary Texture (SLBT) are extracted. …”
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  11. 1851

    Few-shot learning for novel object detection in autonomous driving by Yifan Zhuang, Pei Liu, Hao Yang, Kai Zhang, Yinhai Wang, Ziyuan Pu

    Published 2025-12-01
    “…Experiments on a self-driving dataset augmented with rare objects alongside the popular few-shot object detection (FSOD) benchmark, the pattern analysis, statical modeling, and computational learning PASCAL Visual Object Classes (PASCAL-VOC), demonstrate state-of-the-art accuracy in rare categories and superior inference speed compared to alternative algorithms. …”
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    Fiber Nonlinearity and Tight Filtering Impairments Mitigation of DP-16QAM Nyquist-WDM Systems Using Multiplier-Free MAP Detection by Tao Yang, Chen Shi, Liqian Wang, Xue Chen, Haoyuan Pan, Huan Chen, Min Zhang, Zhiguo Zhang

    Published 2019-01-01
    “…Based on the innovative technique of approximate calculation of Euclidean distance, the competitive performance is obtained in terms of pattern-dependent impairments mitigation. Besides, the computational complexity (CC) is drastically reduced to about 34%, as the multiplier of the proposed MAP detection is completely removed. …”
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