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  1. 3881

    Integration of Sensor Data and Mathematical Modeling of Underwater Robot Behavior Using a Digital Twin by M. D. Gladyshev, A. V. Rybakov

    Published 2025-06-01
    “…It was also found that the average error along X — 3.11 mm, along Y — 2.92 mm. The average error in angle Z — 1.8°. …”
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    Article
  2. 3882

    Multi-objective optimization of an open-pit mining system to determine safety buffer using the modified NBI method and the meta-model approach by Tahereh Khajvandsany, Hossein Amoozad Khalili, Ramezan Rezaeyan, Kourosh Nemati

    Published 2025-03-01
    “…The accuracy of the models was checked using the predicted residual error sum of squares (PRESS) and R2. Moreover, the most common PRESS error was employed to validate the Meta-models. …”
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  3. 3883

    Epidemiological characteristics and prediction model construction of hand, foot and mouth disease in Quzhou City, China, 2005–2023 by Wenjie Xu, Canjie Zheng, Canya Fu, Canya Fu, Xiaoying Gong, Quanjun Fang, Zhiying Yin

    Published 2024-12-01
    “…Then, root mean square error (RMSE) and mean absolute error (MAE) were used to evaluate the fitting and prediction performances of the model.ResultsFrom 2010 to 2023, Quzhou City reported a total of 66,601 cases of hand, foot, and mouth disease (HFMD), with the annual number of reported cases fluctuating between 2,265 and 7,964. …”
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  4. 3884

    Unlocking The Potential of Hybrid Models for Prognostic Biomarker Discovery in Oral Cancer Survival Analysis: A Retrospective Cohort Study by Leila Nezamabadi Farahani, Anoshirvan Kazemnejad, Mahlagha Afrasiabi, Leili Tapak

    Published 2024-12-01
    “…Concordance index (C-index), mean absolute error (MAE), mean squared error (MSE) and R-squares, were used to evaluate the performance of the models using selected features. …”
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  5. 3885

    Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches by Nafiseh Hosseini, Hamid Tanzadehpanah, Amin Mansoori, Mostafa Sabzekar, Gordon A. Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

    Published 2025-01-01
    “…The best K (number of neighbors) for the model was 4 which had the lowest error rate. The area under the ROC curve (AUC) was 0.985 for men and 0.986 for women. …”
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  6. 3886
  7. 3887

    A Quantitative Evaluation of UAV Flight Parameters for SfM-Based 3D Reconstruction of Buildings by Inho Jo, Yunku Lee, Namhyuk Ham, Juhyung Kim, Jae-Jun Kim

    Published 2025-06-01
    “…Furthermore, composite pattern analysis using TOPSIS identified excellent combinations that balanced multiple criteria, and Pareto optimization explicitly quantified the inherent trade-offs between conflicting objectives (e.g., time vs. accuracy, number of points vs. completeness). In conclusion, this study clearly demonstrates that hierarchical strategic approaches are essential for optimizing UAV-SfM data collection. …”
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  8. 3888

    Clinimetric properties of hip abduction strength measurements obtained using a handheld dynamometer in individuals with a lower extremity amputation. by Ruud A Leijendekkers, Gerben van Hinte, Amy D Sman, J Bart Staal, Maria W G Nijhuis-van der Sanden, Thomas J Hoogeboom

    Published 2017-01-01
    “…Systematic bias in measurement error was present, including a consistent overestimation of the muscle torque of 28% using the HHD.…”
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  9. 3889

    Accuracy of Acetabular Component Positioning Using a Mixed Reality-Guided Navigation System During Total Hip Arthroplasty by Alexander F. Heimann, MD, William S. Murphy, MD, Daniel C. Sun, MD, Stephen B. Murphy, MD

    Published 2025-03-01
    “…The mean absolute target error between preoperative target operative anteversion and the achieved operative anteversion was 0.7° ± 1.1° (95% CI, 0.3°-1.0°; range, 0°-4°). …”
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  10. 3890

    Meridional anisotropy in contrast sensitivity and visual evoked potential in adults with high myopic astigmatism by Siu Sang Anthony Wu, Tsz Wing Leung, Tsz Wing Leung, Tsz Wing Leung

    Published 2025-01-01
    “…This study investigated the effects of astigmatism on meridional anisotropy in contrast sensitivity (CS) and steady-state visual evoked potential (ssVEP) across a range of spatial frequencies.MethodsThirty-two young adults with a best-corrected distance visual acuity of logMAR 0 or better were categorized into two groups: highly astigmatic (HAS, n = 16) with spherical-equivalent error (SE) ≥ −6.00 D and a cylindrical error (Cyl) ≥ 2.00 DC, and non-astigmatic (NAS, n = 16) with SE ≥ −6.00 D but Cyl ≤ 0.50 DC. …”
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  11. 3891

    Time in range prediction using the experimental mobile application in type 1 diabetes by A. N. Rusanov, T. I. Rodionova

    Published 2024-05-01
    “…The effectiveness of the developed models was assessed on the test sample with the calculation of the mean absolute error (MAE), the root mean square error (RMSE).RESULTS: The 568 CGM profiles’re included in the study. …”
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  12. 3892

    Translating human information into robot tasks: action sequence recognition and robot control based on human motions by Taichi Obinata, Kazutomo Baba, Kazutomo Baba, Akira Uehara, Akira Uehara, Hiroaki Kawamoto, Hiroaki Kawamoto, Yoshiyuki Sankai, Yoshiyuki Sankai, Yoshiyuki Sankai

    Published 2025-06-01
    “…Researchers, leveraging advanced specialized knowledge and skills, bring products to completion through trial-and-error processes that involve modifying materials, shapes, work protocols, and procedures. …”
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  13. 3893

    Strawberry Freshness Assessment by Hyperspectral Imaging by Georgiy V. Nesterov, Anastasia V. Guryleva, Milana O. Sharikova, Svetlana A. Sukhanova, Alexander S. Machikhin

    Published 2025-02-01
    “…Model evaluation was done using the coefficients of determination (R2), relative error (RE), and root mean squared error (RMSE). …”
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  14. 3894

    Deep learning model using continuous skin temperature data predicts labor onset by Chinmai Basavaraj, Azure D. Grant, Shravan G. Aras, Elise N. Erickson

    Published 2024-11-01
    “…Conclusion Continuous skin temperature reflects progression toward labor and hormonal change during pregnancy. …”
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  15. 3895

    Local power flow control by L. M. Chetochnikova, N. I. Smolentsev, N. V. Tomskich, D. A. Gimgina, D. A. Lavrentieva

    Published 2024-01-01
    “…A  scheme  describing  the  dynamic  process  of  power  transfer  for  efficient  resource management  in  the  power  distribution  network  is  proposed.  CONCLUSION.  The  considered power management algorithm is a simple implementation of classical load balancing, and at the same time allows for optimal energy distribution within a given error. …”
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  16. 3896

    The effect of the burn wounds dressing and mechanical debridement training package on nursing interns’ knowledge and executive functions: A quasi-experimental study by Manizhe Otaghi, Mohamadreza Bastami, Yousef Veisani, Hamid Taghinejad, Alireza Vasiee, Arman Azadi

    Published 2024-10-01
    “…Data were analyzed with a standard error of 0.05 using Kolmogorov-Smirnov, independent t, paired t, chi-square, and analysis of covariance tests by SPSS V.16. …”
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  17. 3897

    Concurrent Validity of a Custom Method for Markerless 3D Full-Body Motion Tracking of Children and Young Adults Based on a Single RGB-D Camera by Nikolas Hesse, Sandra Baumgartner, Anja Gut, Hubertus J. A. van Hedel

    Published 2023-01-01
    “…Our method achieved a mean per joint position error over all joints of 11.7 mm compared to the Vicon system, and 98.4% of the estimated joint positions had an error of less than 50 mm. …”
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  18. 3898

    Socio-economic inequalities in malaria prevalence among under-five children in Ghana between 2016 and 2019: a decomposition analysis by Marian Yaa Abrafi Edusei, Olufunke Alaba, Denis Okova, Amarech Obse

    Published 2025-05-01
    “…However, the concentration index for 2016 (Concentration Index = − 0.052; Standard Error = 0.044; p-value = 0.230) was not statistically significant. …”
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  19. 3899

    Improving Event Data in Football Matches: A Case Study Model for Synchronizing Passing Events with Positional Data by Alberto Cortez, Bruno Gonçalves, João Brito, Hugo Folgado

    Published 2025-08-01
    “…Spatial differences in OSD were also compared to the RSD data and to the original data from the provider. Root mean square error (<i>RMSE</i>) and mean absolute error (<i>MAE</i>) were utilized to assess the accuracy of both procedures. …”
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  20. 3900

    Iol optic power calculation in patients with eye axial length 24‑28 mm without preceding refractive surgery by K. B. Pershin, N. F. Pashinova, A. Iu. Tsygankov, S. L. Legkih

    Published 2016-07-01
    “…There are functional results, mean numerical error and median absolute error (MAE) of refraction after phaco with IOL implantation in the study. …”
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