Showing 1,701 - 1,720 results of 120,517 for search '"Methodism"', query time: 0.18s Refine Results
  1. 1701
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    Link prediction method based on complex network dynamics model by Yonghao PAN, Hongtao YU, Yiteng WU

    Published 2019-12-01
    “…Link prediction is an important part of the study of missing links and future formations in complex networks.Currently,network structure-based link prediction methods are rich in results.Research on link prediction based on complex network dynamics model is rare.Firstly,a complex network dynamics model for unlicensed and undirected networks was constructed.Then the quantitative evaluation index of the link prediction node centrality based on the complex network dynamics model was given.Finally,the link prediction method defined by the complex network dynamics model was proposed by the given node centrality quantitative index.Experiments on real network datasets show that the proposed link prediction method has obvious prediction accuracy improvement.…”
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  3. 1703
  4. 1704

    Fast Measurements of Adsorption on Porous Materials Using Jäntti's Method by Erich Robens, Carel H. Massen, Johannes A. Poulis, Piotr Staszczuk

    Published 1999-12-01
    “…In 1972, Jäntti et al. formulated a method to shorten the time taken for adsorption measurements. …”
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  5. 1705

    The cover of randomness: validating implicit methods for the study of sensitive topics by Charles Efferson, Sonja Vogt

    Published 2025-01-01
    “…We review the methods we developed to study female genital cutting in Sudan and sex-selective abortion in Armenia. …”
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  6. 1706
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    Intelligent methods for natural data analysis: application to space weather by O.V. Mandrikova

    Published 2024-02-01
    Subjects: “…data analysis methods…”
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  8. 1708

    5G millimeter wave UE test method and analysis by Jian GONG, Yu ZHANG

    Published 2023-02-01
    “…In the 5G millimeter wave UE OTA RF conformance test, EIRP and TRP type of tests are important OTA items.Currently, this method relying on 3GPP-defined random scan to lock the beam to determine the maximum EIRP and TRP, but this method is time-consuming and lacks accuracy.A non-signaling test method was proposed, which could not only achieve more accurate measurements compared with the current EIRP and TRP test methods but also make it possible to use the non-directional OTA site as the measurement environment, further reducing the test cost and time cost, and increasing the flexibility of the test environment selection.…”
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  9. 1709
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    Hybrid Topological Derivative-Gradient Based Methods for Nondestructive Testing by A. Carpio, M.-L. Rapún

    Published 2013-01-01
    “…This paper is devoted to the reconstruction of objects buried in a medium and their material properties by hybrid topological derivative-gradient based methods. After illustrating the techniques in time-harmonic acoustic problems with different boundary conditions and in electrical impedance tomography problems with continuous Neumann conditions, we extend the hybrid method for a realistic model in tomography where the boundary conditions are given at a discrete set of electrodes.…”
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    Analytical Method Development and Validation of Exemestane Tablet by UV Spectrophotometry by S. Angalaparameswari, V. S. Thiruvengadarajan, N. Amruth Kumar, M. Kutumbarao, S. Ramkanth, C. Madhusudhanachetty

    Published 2012-01-01
    “…The present research work discusses the development and validation of a UV spectrophotometric method for Exemestane. Simple, accurate and cost efficient spectrophotometric method has been developed for the estimation of Exemestane in Tablet dosage form. …”
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  15. 1715
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    A secure method of voting and planning based on quadratic voting by Hamid Devisti, Massoud Hadian Dehkordi

    Published 2025-02-01
    “…Little research has been done on the safe implementation of this method. In this paper, we first present a voting method based on $QV$. …”
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    Android malware detection method based on deep neural network by Fan CHAO, Zhi YANG, Xuehui DU, Yan SUN

    Published 2020-10-01
    “…Android is increasingly facing the threat of malware attacks.It is difficult to effectively detect large-sample and multi-class malware for traditional machine learning methods such as support vector machine,method for Android malware detection and family classification based on deep neural network was proposed.Based on the comprehensive extraction of application components,Intent Filter,permissions,and data flow,the method performed an effective feature selection to reduce dimensions,and conducted a large-sample detection and multi-class classification for malware based on deep neural network.The experimental results show that the method can conduct an effective detection and classification.The accuracy of binary classification between benign and malicious Apps is 97.73%,and the accuracy of family multi-class classification can reach 93.54%,which is higher than other machine learning algorithms.…”
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  19. 1719
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    A New Method for Predicting the Permeability of Sandstone in Deep Reservoirs by Feisheng Feng, Pan Wang, Zhen Wei, Guanghui Jiang, Dongjing Xu, Jiqiang Zhang, Jing Zhang

    Published 2020-01-01
    “…Capillary pressure curve data measured through the mercury injection method can accurately reflect the pore throat characteristics of reservoir rock; in this study, a new methodology is proposed to solve the aforementioned problem by virtue of the support vector regression tool and two improved models according to Swanson and capillary parachor parameters. …”
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