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  1. 21

    Combined contour error control method for five-axis machine tools based on digital twin by Liuquan Wang, Ruijie Yang, Shisheng Lv, Zhiqi Yang, Shuwei Xin, Yanqiang Liu, Qiang Liu

    Published 2025-05-01
    “…This paper proposes a combined contour error control method for five-axis machine tools based on digital twin. …”
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    Article
  2. 22

    A Study on the Coarse-to-Fine Error Decomposition and Compensation Method of Free-Form Surface Machining by Yueping Chen, Junchao Wang, Qingchun Tang, Jie Li

    Published 2024-10-01
    “…The results of actual machining experiments show that, after using the method proposed in this paper to compensate for the machining error, the maximum absolute machining error decreased from 0.0580 mm to 0.0159 mm, which was a 72.5% reduction, and the average absolute machining error decreased from 0.0472 mm to 0.0059 mm, which was an 87.5% reduction. …”
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  3. 23

    Perceptual Error Logarithm: An Efficient and Effective Analytical Method for Full-Reference Image Quality Assessment by Sergio A. C. Bezerra, Sergio A. C. Bezerra Junior, Jose L. De S. Pio, Jose R. H. Carvalho, Keiko V. O. Fonseca

    Published 2025-01-01
    “…However, efficiency and effectiveness are difficult to achieve simultaneously when designing perceptual IQA methods. To face this challenge, we introduced a new method, named the namely Perceptual Error Logarithm (PEL). …”
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  4. 24

    Legal consequences, measures of prevention and reduction of medical malpractice cases (errors) by A. O. Yanchuk, A. O. Zaporozhchenko, I. P. Katerynchuk, S. O. Kuznichenko, A. V. Kryzhanovska

    Published 2019-06-01
    “…The goal of our research is to determine the quintessence features of “medical malpractice (error)” in the medical-legal context so to determine legal consequences of medical malpractices (errors), and to classify the regulatory measures of prevention of medical malpractice cases and reduction of these problems. …”
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    Article
  5. 25

    A Data-Driven Noise Reduction Method and Its Application for the Enhancement of Stress Wave Signals by Hai-Lin Feng, Yi-Ming Fang, Xuan-Qi Xiang, Jian Li, Guan-Hui Li

    Published 2012-01-01
    “…In this paper we describe an efficient noise reduction method. EEMD is used to decompose a signal into several intrinsic mode functions (IMFs). …”
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  6. 26

    Stability Analysis of Slope with Multiple Sliding Surfaces Based on Dynamic Strength-Reduction DDA Method by Shuhong Wang, Chengjin Zhu, Pengyu Wang, Zishan Zhang

    Published 2019-01-01
    “…Based on the relative displacement between blocks, the dynamic strength reduction-discontinuous deformation analysis (hereinafter referred to as DSR-DDA) method is proposed for studying slopes with multiple sliding surfaces. …”
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  7. 27
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    AI-based biplane X-ray image-guided method for distal radius fracture reduction by Qing Zha, Qing Zha, Sizhou Shen, Ziyang Ma, Ziyang Ma, Manqiu Yu, Hongzheng Bi, Hongbo Yang, Hongbo Yang

    Published 2025-02-01
    “…Therefore, it is necessary to develop an AI-based method for calculating fracture parameters to provide real-time display, particularly in fracture reduction machines.MethodsAn AI-based method for automatically calculating of radiographic parameters in distal radius fractures (DRF) was developed. …”
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    Study on the Variation Law of Static Transmission Error for Cylindrical Gear by Chang Lehao, Liu Geng, He Zhaoxia

    Published 2017-01-01
    “…Based on a modified thin slice method,the static transmission error of cylindrical gear pair with tooth surface error is calculated efficiently. …”
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    Article
  11. 31

    Geolocation error compensation method for geocoded SAR images using pixel-offset series without control points by Liqun Liu, Zhiwei Li, Yan Zhu, Yifan Zhang, Chenglong Cao, Xun Du, Kun Han, Haiqiang Fu

    Published 2025-08-01
    “…Experiments with geocoded TanDEM-X SAR images near Guangzhou, China, demonstrate that the method (1) is independent of reference image position and can resist the gross geolocation error in geocoding to a certain extent, and (2) improves the root-mean-square error of the geolocation error at the tie-points to 0.72 pixels, a 65% reduction. …”
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    Article
  12. 32

    Estimation of chlorophyll content in rice canopy leaves based on main base analysis and dimensionality reduction method by YUAN Weinan, XU Tongyu, CAO Yingli, WANG Yang, YU Fenghua

    Published 2018-07-01
    “…Due to high dimensional characteristics of unmanned aerial vehicle (UAV) hyperspectral remote sensing data, we proposed a dimension reduction method based on main base analysis. The 400-1 000 nm bands which are sensitive to chlorophyll, were selected to be subjected to Gram_Schmidt transform. …”
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    Article
  13. 33

    Visualization of large-scale user association feature data based on a nonlinear dimensionality reduction method by Nong Linlin

    Published 2025-08-01
    “…Traditional linear dimensionality reduction methods often fail to obtain intuitive information and discover intrinsic connections and patterns in complex high-dimensional data. …”
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  14. 34

    Real-Time DTM Generation with Sequential Estimation and OptD Method by Wioleta Błaszczak-Bąk, Waldemar Kamiński, Michał Bednarczyk, Czesław Suchocki, Andrea Masiero

    Published 2025-04-01
    “…Since DTM generation occurs simultaneously with data acquisition, the proposed algorithm also incorporates data reduction techniques to manage the large dataset. The reduction is achieved using the Optimum Dataset Method (OptD). …”
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    Analysis of Requirements and the Feasible Limit for Error Reduction in Two-Parameter Magnetic Determination of Steels’ Hardness by S. G. Sandomirski

    Published 2020-09-01
    “…However, the specific conditions and requirements for application of the two-parameter methods remain unclear. The purpose of this article was to analyze conditions and the achievable error reduction limit for two-parameter indirect determination of steels hardness and to compare those with one-parameter methods.In particular, we considered the mean Square Deviation (SD), σF , of indirect calculation of the physical quantity F using two measured parameters x1 and x2 that are correlated with F. …”
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    Progressive Bounded Error Piecewise Linear Approximation with Resolution Reduction for Time Series Data Compression by Jeng-Wei Lin, Shih-wei Liao, Yu-Hung Tsai, Ching-Che Huang

    Published 2024-12-01
    “…Resolution Reduction (RR) plays an important role. Eight real-world datasets are used to evaluate the proposed method. …”
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