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Showing 21 - 40 results of 1,501 for search 'reduction error method', query time: 0.13s Refine Results
  1. 21

    Analysis and reduction of topographic effect induced errors in land surface temperature retrieval over the Tibetan Plateau by Yuejie Zhang, Qinghong Sheng, Kerui Li, Bo Wang, Jun Li, Xiao Ling, Fan Gao

    Published 2025-07-01
    “…In comparison experiments with conventional methods, RTBC achieved approximately a 50 % reduction in RMSE. …”
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    Article
  2. 22
  3. 23

    Installation Error Calibration Method for Redundant MEMS-IMU MWD by Yin Qing, Lu Wang, Yu Zheng

    Published 2025-03-01
    “…Finally, simulation and laboratory experiments were conducted to verify the effectiveness of the proposed method. The simulation results showed that the proposed method reduced installation errors by 40.4% compared with conventional methods. …”
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    Article
  4. 24

    Branch error reduction criterion-based signal recursive decomposition and its application to wind power generation forecasting. by Fen Xiao, Siyu Yang, Xiao Li, Junhong Ni

    Published 2024-01-01
    “…To address this issue, a branch error reduction (BER) criterion is proposed in this study that is based on which a mode number adaptive VMD-based recursive decomposition method is used. …”
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    Article
  5. 25

    How and when supervisors’ information sharing reduces new employees’ errors by Tesfaye A. Bafa, Mingyu Zhang, Chong Chen

    Published 2025-01-01
    “…Background: Effective supervision through information sharing meaningfully influences employee performance and error reduction. Though the benefits of information sharing are well investigated, its specific impact on new employees’ error reduction in competitive fields, like hotels with various mediators and moderators, is less explored. …”
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  6. 26

    The reduction of the standard of census route length using double lamination of sample by V. M. Glushkov

    Published 2018-04-01
    “…The processing of data using the new methodology was performed on a special PC that calculates, among other things, evaluation of the number according to the layers, strata, territories in total and the value of the standard error (SE) of the number estimate N. On site No. 1 the linear density of moose population was 0.774 trace/ 1 km of the route, the original standard of route length was 1.82 km/1 thousand ha, SE (WrC) - 17.2%; SE (new method) - 6.0 %, the rate of decline SE =2.87 times. …”
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    Article
  7. 27

    Using a rule‐based system to define error in the emergency department by Kiersten L. Gurley, Jonathan L. Burstein, Richard E. Wolfe, Shamai A. Grossman

    Published 2020-10-01
    “…A rule‐based definition of medical error in emergency medicine may identify key areas for risk reduction strategies, help standardize medical QA, and improve patient care and physician education.…”
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    Article
  8. 28

    Minimum Error Integration Method for Quadrilateral Flat Plate Fitting in Steel Construction by Zhuoju Huang, Jiemin Ding

    Published 2025-04-01
    “…While traditional approaches that rely on empirical craftsmanship or least-squares fitting lack precision, this study proposes a minimum error integration method that integrates Lagrange interpolation-based error estimation with an adaptive step-size steepest descent algorithm to reduce fitting error. …”
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    Article
  9. 29

    Error Analysis of the Convex Hull Method for the Solution of the Distribution System Security Region by Jun Xiao, Lixing Wang, Yupeng Zhou

    Published 2025-05-01
    “…For the convex region, the condition for an error-free solution is proven, the error causes are analyzed, and error reduction measures are proposed. …”
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    Article
  10. 30

    Enhancing laparoscopic surgery training: a comparative study of traditional models and automated error detection system by Yitian Luo, Jingjie Wang, Zongting Yan, Jingjing He, Liye Fu, Shenghan Wang, Ying Han, Yaoyu Fu, Xiandi Wang, Kang Li, Rong Yin, Dan Pu

    Published 2025-05-01
    “…A paired t-test was utilized to assess error reductions within the AEDS group, and Bland-Altman analysis was used to analyze the self-estimate error bias. …”
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  11. 31

    A tied-weight autoencoder for the linear dimensionality reduction of sample data by Sunhee Kim, Sang-Ho Chu, Yong-Jin Park, Chang-Yong Lee

    Published 2024-11-01
    “…Abstract Dimensionality reduction is a method used in machine learning and data science to reduce the dimensions in a dataset. …”
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    Article
  12. 32

    Low fluctuation stiffness design method for vibration reduction of helical gears by YOU Zhiwei, GAO Jingtao, LI Haonan

    Published 2025-01-01
    “…The loaded static transfer error (LSTE) and dynamic response were analyzed, and two optimization design methods were discussed.ResultsThe results show that appropriate parameter design can significantly reduce the mesh stiffness fluctuation, optimize the LSTE and improve the vibration of the system. …”
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  13. 33

    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
  14. 34

    Error Analysis and Artificial Intelligence: Exploring Error Monitoring and Error Treatment Possibilities in EFL by Manuel Macías Borrego

    Published 2025-08-01
    “…Abstract: This paper endeavors to investigate the potential synergy between new Artificial Intelligence (AI) tools and Error Analysis in, primarily, serving as a tool to enhance the process of error analysis aiming at error remediation (avoiding error fossilisation) while, secondly, enhancing the assessment methods employed by teachers of English as a Foreign Language (EFL) within the context of a university course targeting B2 proficiency level, as per the Common European Framework of Reference for Languages (CEFR). …”
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  15. 35

    Flexible reamer use to overcome entry point errors in proximal femoral nail application in severe obese intertrochanteric fracture patients by Levent Horoz, Ali Ihsan Kilic, Cihan Kircil, Mehmet Fevzi Cakmak

    Published 2024-10-01
    “…Abstract Introduction Proximal femoral nailing (PFN) offers biomechanical benefits for intertrochanteric fractures but can lead to higher complication rates from poor reduction and technique errors, particularly in obese patients. …”
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    Article
  16. 36

    A Quantitative Evaluation Method Based on Back Analysis and the Double-Strength Reduction Optimization Method for Tunnel Stability by Jinglai Sun, Fan Wang, Xinling Wang, Xu Wu

    Published 2021-01-01
    “…Compared with the traditional method, the proposed back analysis method can reduce errors in the predicted performance, and unlike the SRM, the ODSRM can avoid overestimating the safety factor with the same reduction factor. …”
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  17. 37

    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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  18. 38

    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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  19. 39

    Research on digital twin modeling method for combustion process based on model reduction by Yue Zhang, Jiale Li

    Published 2025-01-01
    “…Furthermore, based on modal data analysis, a Support Vector Machine (SVM) regression model is selected to reconstruct the temperature field. The average absolute error of the reconstructed temperature fields from three methods under different operating conditions is then compared. …”
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  20. 40

    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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