Search alternatives:
reduction » education (Expand Search)
method » methods (Expand Search)
Showing 101 - 120 results of 1,501 for search 'reduction error method', query time: 0.13s Refine Results
  1. 101

    The Correlation Between Eye Strain on Visual Acuity with Refractive Error Among Children by Kannan Uma Soundari, G Bhuvaneswari, A. Helen. M. Perdita

    Published 2025-05-01
    “…Results: The experimental group exhibited a significant reduction in eye strain level and refractive error with improvement in visual acuity. …”
    Get full text
    Article
  2. 102

    The role of pharmacists in mitigating medication errors in the perioperative setting: a systematic review by Lina Naseralallah, Somaya Koraysh, May Alasmar, Bodoor Aboujabal

    Published 2025-01-01
    “…Although the studies showed that pharmacist interventions were associated with a reduction in overall medication errors rates, some studies showed inconsistent findings regarding error subtypes. …”
    Get full text
    Article
  3. 103

    Postage Stamp Precision Technique of Dorsal Hump Reduction by Uday Bhat, Amit Peswani, Ishita Katyal, Anudeep T.C, Mangesh Pawar, Suparna P.N, Richa Goel

    Published 2025-06-01
    “… Background The conventional methods of dorsal hump reduction planning and execution are prone to errors. …”
    Get full text
    Article
  4. 104

    A Point Cloud Registration Method Based on Point-to-Triangulation Estimation for Optical Window Free-Form Surfaces Testing by Coordinate Measuring Machine by Chuanchao Wu, Junjie Shi, Taorui Li, Haijiao Huang, Fudong Chu, Siyuan Jiang, Longyue Li, Chiben Zhang

    Published 2025-05-01
    “…Further, in the experiment, the PV surface error was reduced from 27.3 μm to 6.9 μm, equivalent to a reduction of 3.95 times. …”
    Get full text
    Article
  5. 105
  6. 106

    Energy Reduction with Anticontrol of Chaos for Nonholonomic Mobile Robot System by Zahra Yaghoubi, Hassan Zarabadipour, Mahdi Aliyari Shoorehdeli

    Published 2012-01-01
    “…This paper presents energy reduction with anticontrol of chaos for nonholonomic mobile robot system. …”
    Get full text
    Article
  7. 107

    Modeling the effect of building information modeling (BIM) in reducing rework in construction projects using structural equations method by malihe zoghi, ohamad jafar fesharaki, mehrdad Hemasian ettefagh

    Published 2024-03-01
    “…The use of the structural equation research method to influence the relationship between variables in this research showed that identifying errors and recording them at the right time and place can lead to a reduction in rework in project implementation. …”
    Get full text
    Article
  8. 108

    Dynamic Error Compensation for Ball Screw Feed Drive Systems Based on Prediction Model by Hongda Liu, Yonghao Guo, Jiaming Liu, Wentie Niu

    Published 2025-05-01
    “…The results show that the prediction model exhibits a maximum prediction deviation of 1.8% for the maximum tracking error and 13% for the average tracking error. The proposed compensation method with friction compensation achieves a maximum reduction rate of 76.7% for the maximum tracking error and 63.7% for the average tracking error.…”
    Get full text
    Article
  9. 109

    Compensation of Dynamic Phase Error in the Formation of Orthogonal Components of Input Signals in Microprocessor Protections by F. A. Romaniuk, Yu. V. Rumiantsev, V. Yu. Rumiantsev, I. V. Novash

    Published 2022-06-01
    “…The developed compensation method reduces the dynamic phase error of digital Fourier filters by three to four times.…”
    Get full text
    Article
  10. 110
  11. 111

    Medical Error Prevalence, Nursing Power, and Structural Empowerment: A Serial Mediation Analysis by Wafa’a Ta’an

    Published 2024-01-01
    “…To investigate how structural empowerment and power may contribute to and predict the reduction of medical errors. Background. Medical errors threaten patient well-being, leading to adverse outcomes. …”
    Get full text
    Article
  12. 112

    Investigation of an Optimized Linear Regression Model with Nonlinear Error Compensation for Tool Wear Prediction by Lihua Shen, Baorui Du, He Fan, Hailong Yang

    Published 2025-04-01
    “…Experimental validation demonstrates that on the PHM2010 dataset, compared to the Support Vector Regression (SVR) and Autoencoder (AE) models, the proposed method achieves average reductions of 26.1% in Mean Squared Error (MSE) and 14.5% in Mean Absolute Error (MAE). …”
    Get full text
    Article
  13. 113

    Ergonomic interventions and endodontic treatment outcomes: An analysis of dentist working posture and error rates by Ruslan Ratushnyi, Olha Stakhanska

    Published 2024-03-01
    “…Additionally, the research highlighted the significant impact of a dentist's handedness and tooth position in the dental arch on treatment ergonomics and efficiency, as observed and analyzed through ergonomic assessments and statistical methods. Conclusions: The study conclusively demonstrated that optimal positioning and alignment during dental procedures significantly contribute to a reduction in procedural errors, underscoring the importance of ergonomics in clinical dentistry.…”
    Get full text
    Article
  14. 114

    Analysis of students' errors in solving quadratic equation word problems based on Watson's criteria by Azin Taufik, Anggar Titis Prayitno, Tika Nuanatul Mufida

    Published 2024-12-01
    “…This research employs a descriptive qualitative approach. The data collection methods used include tests and interviews. A total of 29 tenth-grade students from SMA Negeri Cigugur were given test problems, and subsequently, 16 students were selected as research subjects, representing each of Watson's error criteria. …”
    Get full text
    Article
  15. 115

    Travel time prediction for an intelligent transportation system based on a data-driven feature selection method considering temporal correlation by Amirreza Kandiri, Ramin Ghiasi, Maria Nogal, Rui Teixeira

    Published 2024-12-01
    “…Results show that OA2DD improves the convergence curve and reduces the number of selected features by up to 50 %, leading to a 56 % reduction in computational costs. Furthermore, using the selected features from OA2DD, reduced the prediction error by up to 29 % compared to the full feature set and other feature selection methods, demonstrating the method's effectiveness and robustness.…”
    Get full text
    Article
  16. 116

    Threats That Arise From Within: Changes in Error Processing and the Prospective Prediction of Everyday Avoidance by Claudia R. Becker, Richard Morris, Annmarie MacNamara

    Published 2025-09-01
    “…This association was only evident for participants with reductions in early error processing (ERN) over the same time period, potentially indicating avoidance of errors in the laboratory. …”
    Get full text
    Article
  17. 117

    THE REASONS THAT LEAD TO THE REDUCTION OF THE USE OF NON-REMOVABLE PROSTHESIS DESIGNS by M.J. Nidzelskyy, N.V. Tsvetkova, S.S. Yasnogorskaya

    Published 2018-03-01
    “…After removing the prosthesis, we studied the prepared teeth and note that 205 (66.4%) cases were properly prepared and the prepared, and 104 (33.6%) admitted physicians various errors. To determine the reduction of marginal periodontal abutments used sample Pisarev - Schiller, as a result of which found that 226 (78.8%) cases it was positive, and in 84 (27.2%) negative. …”
    Get full text
    Article
  18. 118

    A Method for Automatic Feature Points Extraction of Pelvic Surface Based on PointMLP_RegNet by Wei Kou, Rui Zhou, Hongmiao Zhang, Jianwen Cheng, Chi Zhu, Shaolong Kuang, Lihai Zhang, Lining Sun

    Published 2025-06-01
    “…The proposed method will improve the accuracy of anatomical feature points extraction, enhance intra‐operative registration precision and facilitate the widespread clinical application of robot‐assisted pelvic fracture reduction.…”
    Get full text
    Article
  19. 119

    MIMO System Reduction Using Modified Pole Clustering and Genetic Algorithm by C. B. Vishwakarma, R. Prasad

    Published 2009-01-01
    “…The algorithm of the proposed method is illustrated with the help of an example and the results are compared with the other well-known reduction techniques.…”
    Get full text
    Article
  20. 120

    Improving Climate Bias and Variability via CNN‐Based State‐Dependent Model‐Error Corrections by William E. Chapman, Judith Berner

    Published 2025-03-01
    “…Abstract We develop an approach to correct biases in the atmospheric component of the Community Earth System Model using convolutional neural networks (CNNs) to create a corrective model parameterization for online bias reduction. By predicting systematic nudging increments derived from nudging toward the ERA5‐reanalysis, our method dynamically adjusts the model state, outperforming traditional corrections based on climatological increments alone. …”
    Get full text
    Article