Sampling error‐based model‐free predictive current control of open‐end winding induction motor with simplified vector selection by Mahdi S. Mousavi, S. Alireza Davari, Freddy Flores‐Bahamonde, Cristian Garcia, Jose Rodriguez

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Assessing the impact of stimulation environment and error probability on ErrP EEG response, detection and subject attention: an explorative study by Andrea Farabbi, Luca Mainardi

“…Moreover, a significant correlation between attention-related features and ErrP characteristics was observed, highlighting the intricate relationship between error processing and attentional engagement.RelevanceThese findings underscore the importance of considering stimulus environments and error probabilities in cognitive neuroscience research and machine learning applications. …”
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A Novel Phase Error Estimation Method for TomoSAR Imaging Based on Adaptive Momentum Optimizer and Joint Criterion by Muhan Wang, Silin Gao, Xiaolan Qiu, Zhe Zhang

“…However, interchannel phase errors present in practical applications severely degrade the quality of 3-D reconstruction results. …”
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Management of power in single rotor wind turbine systems using fuzzy controller based on fractional order error approaches by Habib Benbouhenni, Adil Yahdou, Z. M. S. Elbarbary, Abdelkadir Belhadj Djilali, Ilhami Colak, Saad F. Al-Gahtani

“…To address these challenges, this study introduces an enhanced FL-based control strategy that incorporates fractional-order error (FOE) to improve control performance in a single-rotor wind turbine system. …”
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Bridging Pre-Invex Mappings and Fractional Integrals: A Pathway to Iterative Schemes via Error Boundaries of Maclaurin’s Rule by Qi Liu, Rukhsar, Muhammad Uzair Awan, Bandar Bin-Mohsin, Muhammad Zakria Javed, Loredana Ciurdariu, Badreddine Meftah

“…We want to find a number of important results for differentiable pre-invex mappings and Riemann–Liouville (RL) fractional integrals so that we can make more accurate error estimates. Additionally, we present examples with graphical illustrations to substantiate our major findings and deduce several special cases under certain conditions. …”
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On the Error Probability of Cognitive RF-FSO Relay Networks Over Rayleigh/EW Fading Channels With Primary-Secondary Interference by Eylem Erdogan, Nihat Kabaoglu, Ibrahim Altunbas, Halim Yanikomeroglu

“…To quantify the performance of the proposed scheme, closed form error probability is derived over Rayleigh/Exponentiated Weibull (EW) fading distributions by considering the statistical and instantaneous feedback channel of the primary network. …”
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Correcting capacity of soft-decision decoder of ternary Reed - Muller second-order codes with a large number of errors by Nadezhda Sergeyevna Mogilevskaya

“…The decoder’s correcting capacity depends heavily on the communication line type and on the signal distortion mode; it is not sensitive to the error location within the codeword. Conclusions are made on the use of the new decoder in the low-rated communication channels to provide noise immunity, and in a number of the cryptographic applications.…”
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A Novel Absolute/Relative Fusion Approach for Visual Localization of Planetary Lander Employing a Unified Error Metric by Yaxuan Feng, Xiaohua Tong, Xiong Xu, Yanmin Jin, Huan Xie, Yongjiu Feng, Chao Wang, Changjiang Xiao

“…A unified error metric is designed by jointly optimizing reprojection, landmark consistency, and interframe pose errors, therefore converting all error metrics to a unified pixel scale to avoid weighting issues. …”
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An Electrochemical Impedance Spectrum-Based State of Health Differential Indicator with Reduced Sensitivity to Measurement Errors for Lithium–Ion Batteries by Jaber Abu Qahouq

“…Because of the differential nature of this SOH indicator and because the two impedance values are measured at a phase peak point and a valley phase point regardless of the phase absolute values, the effect of impedance measurement shift/offset (error) on SOH estimation is reduced. This supports the future development of more accurate and faster online and offline SOH estimation algorithms and systems that have a higher immunity to impedance measurement shift/offset (error). …”
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Estimation and diagnostic for single-index partially functional linear regression model with $ p $-order autoregressive skew-normal errors by Lijie Zhou, Liucang Wu, Bin Yang

“…This paper introduced a novel single-index partially functional linear regression model with $ p $-order autoregressive skew-normal errors, addressing the dual challenges of autocorrelation and skewness in high-dimensional functional data. …”
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Integration of multi agent reinforcement learning with golden jackal optimization for predicting average localization error in wireless sensor networks by K. Lakshmi Prabha, Hanan Abdullah Mengash, Hamed Alqahtani, Randa Allafi

“…The proposed model is evaluated using a benchmark dataset, and performance metrics such as Mean Squared Error (MSE), Mean Absolute Error (MAE), Root Mean Square Error (RMSE), R-squared (R²), and Mean Absolute Percentage Error (MAPE) are analyzed. …”
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Identifying the Optimal Parametric Survival Model with Minimal Estimation Error to Determine Factors Influencing Survival in Colon Cancer Patients by Elahe Rahimi, Jamshid Yazdani Charati, Mohammad Eslami Juybari, Iradj Maleki, Raza ali Mohammadpour Tahamtan, Murteza Sanjarnipour

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Mobile application for wildlife capture–mark–recapture data collection and query by Heather L. Bateman, Timothy E. Lindquist, Richard Whitehouse, Maria M. Gonzalez

“…Unfortunately, sampling errors can arise at several steps in the CMR process. …”
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Minor variant detection in amplicons using 454 massive parallel pyrosequencing: experiences and considerations for successful applications by Ina Vandenbroucke, Herwig Van Marck, Peter Verhasselt, Kim Thys, Wendy Mostmans, Stéphanie Dumont, Veerle Van Eygen, Katrien Coen, Marianne Tuefferd, Jeroen Aerssens

“…Especially for this application, errors that might be introduced during any of the sample processing or data analysis steps should be avoided or at least recognized, as they might lead to aberrant sequence variant calling. …”
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New comprehensive mean estimation using regression-cum-exponential type estimator: Application with neutrosophic data

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Analysis of the Modification Sensitivity of Herringbone Gear by Yong Zhao, Yajun Huang, Bin Yan, Yong Guo, Yuanyuan Zhang, Wei Cao

“…Then considering the center distance installation error， the bearing transmission error amplitude and the maximum contact stress of the pinion are analyzed respectively. …”
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A Low-Power Read-Decoupled Radiation-Hardened 16T SRAM for Space Applications by Sung-Jun Lim, Sung-Hun Jo

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Application of machine learning for seam profile identification in robotic welding by Fatemeh Habibkhah, Mehrdad Moallem

“…The model achieved an average mean square error of 0.078 and an R² value of 0.995, accurately predicting 99.5 % of data. …”
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Interpolation Formulas for Functions with Large Gradients in the Boundary Layer and their Application by A. I. Zadorin

“…However in the case when the function has areas of large gradients, application of polynomials of Lagrange leads to essential errors. …”
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A Coupling Error Compensation Approach Concerning Constrained Space Coordinate Precision of a Heavy-Load Longitudinal and Transversal Swing Table by Manxian Liu, Rui Bao, Shuo Li, Liang Ji, Suozhuang Li, Xiaoqiang Yan, Wei Li

“…In this paper, an accurate error compensation method based on geometric parameter correction and process optimization is proposed for the problem of coupling error in a heavy-load longitudinal and transversal swing table (HLTST) under space constraints, which makes it difficult to control the position efficiently and accurately. …”
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