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    Fast surface reconstruction algorithm with adaptive step size. by Jingguo Dai, Yeqing Yi, Chengzhi Liu

    Published 2025-01-01
    “…In (Dai et al. 2023), the authors proposed a fast algorithm for surface reconstruction that converges rapidly from point cloud data by alternating Anderson extrapolation with implicit progressive iterative approximation (I-PIA). …”
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  3. 43

    Intractable Fasting Hypoglycemia as a Manifestation of Hepatocellular Carcinoma by Justin J. Forde, Ofor Ewelukwa, Tony Brar, Roniel Cabrera

    Published 2017-01-01
    “…Non-islet cell tumor hypoglycemia (NICTH) is a rare and serious paraneoplastic complication of both malignant and benign tumors to consider when evaluating fasting hypoglycemia, especially in the setting of liver diseases. …”
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  4. 44

    Fast Two-Step Energy Detection for Spectrum Sensing by Meiling Lai, Shengliang Peng, Xi Yang, Lin Zhou

    Published 2015-01-01
    “…This paper proposes a fast two-step energy detection (FED) algorithm for spectrum sensing via improving the sampling process of conventional energy detection (CED). …”
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    Lyapunov functions for tuberculosis models with fast and slow progression by C. Connell Mccluskey

    Published 2006-07-01
    Subjects: “…fast and slowprogression.…”
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  8. 48

    Fast contrast enhancement by adaptive pixel value stretching by Gang Cao, Huawei Tian, Lifang Yu, Xianglin Huang

    Published 2018-08-01
    “…In this article, we propose a fast and effective method for digital image contrast enhancement. …”
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    Article
  9. 49

    On fast reconstruction of periodic structures with partial scattering data by John Daugherty, Nate Kaduk, Elena Morgan, Dinh-Liem Nguyen, Peyton Snidanko, Trung Truong

    Published 2024-11-01
    “…Additionally, this imaging function is fast, simple to implement, and very robust against noise in the data. …”
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    Fast ion confinement in quasi-axisymmetric stellarator equilibria by P.J. Bonofiglo, D.W. Dudt, C.P.S. Swanson

    Published 2025-01-01
    “…This report presents an initial analysis of the fast ion confinement and losses within quasi-axisymmetric stellarator equilibria in consideration by Thea Energy. …”
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    Fast Analytic Sampling Approximation from Cauchy Kernel by Youfa Li, Jing Shang, Honglei Yang, Gengrong Zhang, Shouzhi Yang

    Published 2016-01-01
    “…The paper aims at establishing a fast numerical algorithm for Bk(f), where f is any function in the Hardy space H2(Td) and k is the scale level. …”
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  14. 54

    Easy, fast and reproducible Stochastic Cellular Automata with chouca by Génin, Alexandre, Dupont, Guillaume, Valencia, Daniel, Zucconi, Mauro, Ávila-Thieme, M. Isidora, Navarrete, Sergio A., Wieters, Evie A.

    Published 2024-10-01
    “…Besides providing better reproducibility and accessibility, a fast engine for SCA unlocks novel, computationally intensive statistical approaches, such as simulation-based inference of ecological interactions from field data, which represents by itself an important avenue for research. …”
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    A novel fast tag number estimation algorithm by Yinghua CUI

    Published 2017-10-01
    “…Tag number estimation is one of the key technologies in radio frequency identification (RFID) system.The conventional estimation algorithms usually interrogate all time slots before estimating the tag quantity,which lead to large payload and time consumption.A rapid estimation algorithm was proposed.By judging the collision of the first 4 slots in each frame,the Q parameter values could be adjusted quickly,and then the number of tag estimates could be obtained by querying a small number of slots.Simulation results show that compared with the traditional tag estimation algorithm,the proposed algorithm has the advantages of fast estimation speed and small estimation error,and is very suitable for fast estimation.…”
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    Urban Traffic Flow Forecast Based on FastGCRNN by Ya Zhang, Mingming Lu, Haifeng Li

    Published 2020-01-01
    “…To address this problem, we propose abstracting the road network into a geometric graph and building a Fast Graph Convolution Recurrent Neural Network (FastGCRNN) to model the spatial-temporal dependencies of traffic flow. …”
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