Showing 41 - 60 results of 754 for search 'luthier~', query time: 5.38s Refine Results
  1. 41
  2. 42

    SOLA SCRIPTURA: by W.H Oliver, E. Oliver

    Published 2020-06-01
    Subjects:
    Get full text
    Article
  3. 43
  4. 44

    Outlier Detection Based on Multivariable Panel Data and K-Means Clustering for Dam Deformation Monitoring Data by Jintao Song, Shengfei Zhang, Fei Tong, Jie Yang, Zhiquan Zeng, Shuai Yuan

    Published 2021-01-01
    “…In this study, an analytical method for detecting outliers of dam deformation data was established based on multivariable panel data and K-means clustering theory. …”
    Get full text
    Article
  5. 45

    A visual-physiology multimodal system for detecting outlier behavior of participants in a reality TV show by Shinjin Kang, Donggyun Kim, Youngbin Kim

    Published 2019-07-01
    “…This study proposes an outlier detection system based on the visual-physiology multimodal data system for a Korean reality TV show, “Perfect on Paper.” …”
    Get full text
    Article
  6. 46

    EMM-CLODS: An Effective Microcluster and Minimal Pruning CLustering-Based Technique for Detecting Outliers in Data Streams by Mohamed Jaward Bah, Hongzhi Wang, Li-Hui Zhao, Ji Zhang, Jie Xiao

    Published 2021-01-01
    “…Detecting outliers in data streams is a challenging problem since, in a data stream scenario, scanning the data multiple times is unfeasible, and the incoming streaming data keep evolving. …”
    Get full text
    Article
  7. 47

    An Advanced Broyden–Fletcher–Goldfarb–Shanno Algorithm for Prediction and Output-Related Fault Monitoring in Case of Outliers by Cuiping Xue, Tie Zhang, Dong Xiao

    Published 2022-01-01
    “…Compared with the BFGS algorithm, the ABFGS algorithm adds output-related fault monitoring capabilities and has strong robustness, which can eliminate the influence of outliers on measurement data. The effectiveness of this method has been verified by the Eastman benchmark program in Tennessee. …”
    Get full text
    Article
  8. 48
  9. 49
  10. 50

    Data Transformation Technique to Improve the Outlier Detection Power of Grubbs’ Test for Data Expected to Follow Linear Relation by K. K. L. B. Adikaram, M. A. Hussein, M. Effenberger, T. Becker

    Published 2015-01-01
    “…However, ranking of data eliminates the actual sequence of a data series, which is an important factor for determining outliers in some cases (e.g., time series). Thus in such a data set, Grubbs test will not identify outliers correctly. …”
    Get full text
    Article
  11. 51
  12. 52
  13. 53

    ¿Se pueden predecir geográficamente los resultados electorales? Una aplicación del análisis de clusters y outliers espaciales by Carlos J. Vilalta Perdomo

    Published 2008-01-01
    “…Se utilizan los conceptos geográficos de cluster y outlier espaciales, y como variable predictiva la segregación espacial socioeconómica. …”
    Get full text
    Article
  14. 54
  15. 55
  16. 56

    The properties of nonuniformity analysis of high dimensional data by Vydūnas Šaltenis

    Published 2004-12-01
    Subjects: “…outlier detection…”
    Get full text
    Article
  17. 57
  18. 58

    Model Analisis Aktivitas Tutor Dalam Learning Management System Berdasarkan Data Log Menggunakan K-Means Dan Deteksi Outlier by Agusriandi Agusriandi, Elihami Elihami, Irman Syarif, Ita Sarmita Samad

    Published 2022-08-01
    “…Oleh karena itu, tujuan penelitian ini untuk (1) mendeskripsikan dan memantau kinerja tutor yang lemah pada aplikasi LMS berbasis moodle berdasarkan data log, (2) mendeteksi tutor yang termasuk dalam kategori outlier berdasarkan aktivitas yang dilakukan di LMS. …”
    Get full text
    Article
  19. 59
  20. 60