THE OPTIMIZATION METHOD OF FUZZY AUTOMATIC CLASSIFICATION IN THE PROBLEM OF COMBINING THE ASSESSMENTS OF TRAJECTOR MEASUREMENTS IN THE RADAR SYSTEM by A. V. Khizhniak

“…The article demonstrates that using fuzzy automatic classification under a priori parametrical uncertainty in the law of trajectory measurement errors, when determining weight coefficients, can improve the accuracy of estimates in these conditions up to 30 % compared with methods based on the application of the probabilistic approach. …”
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Innovative Technologies Contributing to Digital Traceology Development by N. P. Maylis

“…It highlights the relevant issues arising due to expert errors under examination of digital information displayed in footprints and under unification of terms. …”
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Evaluating Eye Tracking Technology in Nursing Education: A Scoping Review on Medication Administration Training by Jiranut Chaichana, Rob Eley, Chris Watling, Linda Ng

“…<b>Background:</b> Eye tracking technology, when used in nursing, helps to reduce medication errors by analyzing eye movements. In education, it provides insights into student learning, cognitive load, and instructional design, allowing for more personalized learning. …”
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A Patent Problem – When the Misapplication of Law Collides with an Error of Law: Villa Crop Protection (Pty) Ltd v Bayer Intellectual Property GmbH 2023 4 BCLR 461 (CC) by Nomthandazo Mahlangu

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A comparative study of ultra-massive MIMO intelligent receivers with adversarial robustness and energy efficiency for 6G applications by Pushkar Nidagundi, Advesh Darvekar, Malik Amber, Ramesh R

“…Simulation results demonstrate that the optimized Minimum Mean Square Error (MMSE) detector achieves up to 95 % reduction in Bit Error Rate (BER) compared to Zero-Forcing (ZF) in small-to-medium UM-MIMO configurations (2 × 2 to 32 × 32), as shown in Tables (4 and 5), while maintaining computational feasibility. …”
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Academic Writing: A Discipline or Disciplines? by I. M. Zashikhina

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Comprehensive study of Weddle’s formula-type inequalities for convex functions within the framework of quantum calculus and their computational analysis by Abdul Mateen, Hüseyin Budak, Artion Kashuri, Zhiyue Zhang

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Empirical analysis of control models for different converter topologies from a statistical perspective by Hole Shreyas Rajendra

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The synchronization of the orthogonal frequency division multiplexing system by R. A. Zhernosekov, V. T. Pershin

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Economic Operation Optimization for New Energy Microgrid Based on Deterministic Method by Yingshuang SUN, Cong LUO, Leyi GE

“…In view of the typical application scenarios of microgrid, the mathematician rules of prediction errors for photovoltaic power, wind power and load are analyzed. …”
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Correlation Between Involute Profile Waviness and Gear Transmission Performance by Zhou Yuansheng, Yue Huijun, Wu Xiangkai, Shi Zhaoyao

“…The gear transmission error test is carried out to verify the correctness of the calculation of transmission error. …”
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Simulation and Prediction of Springback in Sheet Metal Bending Process Based on Embedded Control System by Jinhan Xu, Jun Yan, Yan Huang, Dawei Ding

“…To mitigate the challenge of bending springback errors, a finite element simulation model is constructed and refined through the application of ALE (Arbitrary Lagrangian-Eulerian) adaptive grid technology, thereby bolstering simulation precision. …”
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Relational Data Cleaning Meets Artificial Intelligence: A Survey by Jingyu Zhu, Xintong Zhao, Yu Sun, Shaoxu Song, Xiaojie Yuan

“…In this study, we focus on three essential tasks (i.e., error detection, data repairing, and data imputation) for cleaning relational data, to comprehensively review the representative methods using traditional or AI techniques. …”
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Predicting Human Reliability based on Individual’s Resting Period: Effect of Physical Workload Rate by Caecilia Sri Wahyuning, Atiko, Saras

“… When a person is exposed to a prolonged workload, he/she enters a fatigue phase, the indication is the decline of cognitive performance that leading to human error. As an integral part of a system, human contributes to system reliability; therefore, it plays an important role in potential failure. …”
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Doppler Effect Estimation and Compensation for Satellite Systems in Geolocation Problems by Marcello Asciolla, Angela Cratere, Francesco Dell'Olio

“…The framework of the article is a theoretical investigation of the Doppler effect on electromagnetic signals. The target application is relevant to satellite missions with resource-constrained systems based on low-cost hardware platforms and the innovation of the paper is on the error compensation strategy and on the proposal of an approximate polynomial model. …”
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Numerical solution of the viscoelastic wave equation by Galerkin spectral element method by Jalil Rashidinia, Feze Barzegar

“…The finite difference approximation is applied for temporal discretization, and the convergence order of the technique is demonstrated. An a priori error estimate is determined for the total-discrete system. …”
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A numerical technique for solving neutral Hilfer fractional differential equation with constant delay using Legendre wavelet method by Kanagaraj Muthuselvan, Nachiappan Nithya, Fahad Aljuaydi, Kottakkaran Sooppy Nisar

“…Additionally, we present a convergence analysis and error estimation for the truncated Legendre wavelet expansion in the context of the proposed method. …”
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An attempt of finding an appropriate number of convolutional layers in cnns based on benchmarks of heterogeneous datasets by Romanuke Vadim V.

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Systematic Investigation on Surface Diradicals Using Theoretical Models: 2M/MgO and 2M/BaO (M = Cu, Ag, and Au) by Kohei Tada, Koki Masuda, Ryohei Kishi, Yasutaka Kitagawa

“…The accuracy of AP-DFT/plane-wave was verified by comparisons with the calculated results by NEVPT2. The computational error introduced by DFT calculations on the diradical state (spin contamination error) is reduced by the surface–diradical interaction. …”
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Bagging-based heteroscedasticity-adjusted ridge estimators in the linear regression model

“…The existence of multicollinearity between independent variables and heteroscedastic error has a colossal impact on the performance of the ordinary least square (OLS) estimator and its covariance matrix. …”
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