Correlation of Scale Factor Non-Linearity and Vibration Rectification Error in Vibrating Beam Accelerometers by Theo Miani, Lokesh Gurung, Douglas Young, Madan Parajuli, Guillermo Sobreviela-Falces, Colin Baker, Ashwin A. Seshia

“…Vibration Rectification Error (VRE) is a critical parameter for high-performance accelerometers operating in dynamic environments. …”
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Error fields: personalized robotic movement training that augments one’s more likely mistakes by Naveed Reza Aghamohammadi, Moria Fisher Bittmann, Verena Klamroth-Marganska, Robert Riener, Felix C. Huang, James L. Patton

“…We found that training with error fields led to greatest reduction in error. …”
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Elevation Error Prediction of Continuous Beam Cantilever Construction Phase Based on LS-SVM by Xilong Zheng, Yunfeng Hu, Baitao Sun

“…I compare the Least Squares-Support Vector Machines (LS-SVM) prediction value with the measured value, the SVM model predictions, the BP neural network model predictions and the dimensionality reduction model predictions, so that predict elevation errors during cantilever construction phases by established models. …”
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Hardware-Based Calculation of Mean Square Error for Automatic Target Recognition in SAR Images by Lucas Urbanski, Gustavo Farhat Araujo, Renato Machado, Roberto D'Amore

“…Similarly, for a larger dataset of 400 coordinate points, the reduction was from 184 ms to 1.9 ms.…”
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Analysis of students' errors in solving quadratic equation word problems based on Watson's criteria by Azin Taufik, Anggar Titis Prayitno, Tika Nuanatul Mufida

“…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. Data analysis was conducted through data reduction, data presentation, and conclusion drawing. …”
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Dynamic Error Compensation for Ball Screw Feed Drive Systems Based on Prediction Model by Hongda Liu, Yonghao Guo, Jiaming Liu, Wentie Niu

“…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.…”
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Passive Drag Reduction Optimization for Complex Commercial Vehicle Models by G. Liao, M. Xue, L. Yue, H. Yang, P. Guo, X. Hu, Z. Wang, T. Ma

“…The error between the value and the test value is within 1%.…”
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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

“…The reduction of the influence of these factors on the behavior of measuring elements is ensured by the use of high-speed shapers to isolate orthogonal components, as well as by compensating for dynamic phase error. …”
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Students' errors in solving linear program problems according to Newman's Theory in terms of gender by Ucik Fitri Handayani, Lailatul Anggraini

“…The highest error of female students in calculation errors and answer writing, while male students are highest in transformation errors. …”
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Investigation of an Optimized Linear Regression Model with Nonlinear Error Compensation for Tool Wear Prediction by Lihua Shen, Baorui Du, He Fan, Hailong Yang

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

“…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. …”
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Modeling Time Series with SARIMAX and Skew-Normal and Zero-Inflated Skew-Normal Errors by M. Alejandro Dinamarca, Fernando Rojas, Claudia Ibacache-Quiroga, Karoll González-Pizarro

“…Simulation experiments reveal that the skewness parameter significantly affect forecasting accuracy, with reductions in mean absolute error (MAE) and root mean square error (RMSE) observed across both positively and negatively skewed scenarios. …”
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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

“…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. …”
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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

“…The maximum tool orientation contour error decreased by 79.05%, with an average reduction of 86.66%. …”
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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

“…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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Efficient PAPR reduction algorithm in OFDM based on nonlinear piecewise companding by Zhitong XING, Yun LI, Deyi PENG, Bensi ZHANG, Kaiming LIU, Yuan’an LIU

“…Focusing on the high peak-to-average power ratio （PAPR） problem in orthogonal frequency division multiplexing （OFDM） systems， a generalized hybrid of rayleigh and sine distribution based nonlinear companding algorithm for PAPR reduction in OFDM systems was provided.For the proposed algorithm， signal samples with small amplitudes remain unchanged.For the signal samples with large amplitudes， their probability density function were changed from rayleigh distribution to sine-based distribution.The proposed algorithm can effectively reduce the PAPR， and at the same time， maintain the bit error rate performance and power spectral density performance.Simulation results indicate that with the same PAPR performance， compared with referred companding schemes， the proposed algorithm has lower bit error rate and out of band radiation.…”
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Bit Error Rate of Multi-Gaussian Correlated Asymmetric Bessel Beam Through Turbulent Ocean by Zhecheng Zhang, Lin Yu, Yong Zhao, Xiaowan Peng

“…Based on the derivation of orbital angular momentum mode distribution, the theoretical model of bit error rate (BER) is constructed. Numerical analyses show that the low-temperature oceanic channel is more beneficial to BER reduction than the low-salinity channel. …”
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Improving Climate Bias and Variability via CNN‐Based State‐Dependent Model‐Error Corrections by William E. Chapman, Judith Berner

“…Our results show significant root mean squared error improvements across all state variables, with land precipitation biases reduced by 25%–35%, seasonally dependent. …”
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Energy Efficient and High Speed Error Control Scheme for Real Time Wireless Sensor Networks by Ali Barati, Ali Movaghar, Masoud Sabaei

“…The theoretical results backed by simulation tests confirm that the solution put forward in this paper outperforms popular error control methods for WSNs in terms of error controllability, energy efficiency, and reduction of end-to-end delay.…”
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An investigation of the distribution of gaze estimation errors in head mounted gaze trackers using polynomial functions by Diako Mardanbegi, Andrew T. N. Kurauchi, Carlos H. Morimoto

“…We show that the use of third order polynomials result in more accurate gaze estimates in HMGT, and that the use of wide angle lenses might be beneficial in terms of error reduction.…”
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