Improved Response Surface Method Based on Linear Gradient Iterative Criterion by Yu Xia, Wenzheng Kong, Yingye Yu, Yiying Hu, Jinyou Li

“…Aiming at the problem of big calculation error in solving reliability index by the traditional response surface method, an improved response surface method based on the linear gradient iteration criterion is proposed. …”
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Parental acceptance of novel children's medical syringes and their influencing factors by Su Wen Luo, Peng Rui Yang

“…Technology anxiety and time and error reduction emerge as key factors influencing perceived risks.ConclusionsThis study offers product designers crucial insights into purchasing factors for children's medical products, aims to enhance product development and iteration efficiency, and promotes more accurate innovation, decision-making, and communication. …”
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Approximate Analytic Solutions of Transient Nonlinear Heat Conduction with Temperature-Dependent Thermal Diffusivity by M. T. Mustafa, A. F. M. Arif, Khalid Masood

“…It is based on an effective combination of Lie symmetry method, homotopy perturbation method, finite element method, and simulation based error reduction techniques. Implementation of the proposed approach is demonstrated by applying it to determine approximate analytic solutions of real life problems consisting of transient nonlinear heat conduction in semi-infinite bars made of stainless steel AISI 304 and mild steel. …”
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Active-Margin Transmission Power Control for Wireless Sensor Networks by Byung-Hee Son, Kwang-Jin Kim, Ye Li, Young-Wan Choi

“…The AM-TPC improves the reliability and reduces the power consumption, because it prevents unnecessary retransmission by reducing the number of error packets. By using the AM-TPC in mobile environments, we have experimentally obtained 28.3% reduction in current consumption when compared with using maximum power transmission.…”
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Finite-Time Bounded Model-Based Event-Triggered Control for Distributed Fuzzy T-S Systems by Davood Nazari Maryam Abadi, Ali Moarefianpour, Nima Mahdian Dehkordi

“…Model-based state estimation reduces the state error and consequently leads to reduction of data transmission instants. …”
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Fuzzy decision support system for english language teaching with corpus data by Meilin Huang

“…This system focuses on identifying and providing solutions for lexical placement errors. Focusing on the progression of English teaching with high-quality outputs, lexical arrangement, and error reduction is pursued. …”
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High Dynamic Optimized Carrier Loop Improvement for Tracking Doppler Rates by Amirhossein Fereidountabar, Gian Carlo Cardarilli, Marco Re

“…The main advantages of this approach are the reduction of the computation complexity and smaller phase error. …”
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A Lightweight Design Method for Aviation Gear Web based on OptiStruct-Abaqus by Yandong Wang, Siyu Chen, Jinyuan Tang

“…The actual optimal design results show that under the condition of guaranteeing strength and transmission error, the overall weight of the gear is reduced by 39.6%, and the effect of weight reduction is obvious, thus realizing the goal of gear lightweight design.…”
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Research on Hybrid Hysteresis Modeling of Harmonic Reducer based on Parallel with Memristor Hysteresis Model and Neural Network by Xuanju Dang, Fang Wei

“…The model validation mean square error is 0.06.…”
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Influence of Center Component Floating on the Load-sharing Characteristic of Planetary Transmission System by Yangyang Du, Xiaosun Wang, Xue Yang, Bo Jiao, Shijing Wu

“…In order to investigate the load-sharing performance of the 2K-H planetary gear transmission system， a translation-torsion coupling dynamics model is established with considering the nonlinear factors of time-varying meshing stiffness and the overall meshing error and so on， the dimensionless differential equations with 18 degrees of freedom of the system are deduced in this model. …”
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Research on POI quality prediction based on KPCA-GA-BP neural network by Lu LIU, Dan YANG, Ruijie CHEN, Jia LI, Xi ZHOU

“…At present, in network optimization, network quality evaluation and prediction are generally based on communities, and a flexible evaluation system for POI network quality was proposed following the research idea of “research on dimensionality increase and implementation of dimensionality reduction”.However, it involves many network KPI, resulting in a relatively complex evaluation system for POI network comprehensive quality and low prediction accuracy.In order to improve the prediction accuracy of POI network quality, KPCA was used to compress the correlation of input variables of BP neural network, the structure of BP neural network was simplified, and then the connection weights and threshold parameters of BP neural network were optimized through GA.Compared with the prediction results of traditional BP neural network, the prediction accuracy is improved by 10.9%, and the mean square error performance is significantly reduced, it can play a better supporting role in the prediction of POI network quality.…”
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Attitude tracking control for quadrotor UAVs based on extremum seeking by GUO Dali, ZHAO Zhongyuan, LUO Zijuan

“…Finally, numerical simulations were performed using MATLAB, which demonstrated a reduction of 0.246 in the steady-state tracking error of the proposed control method compared to the classical robust control method. …”
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Fault Detection Algorithm for Gaussian Mixture Noises: An Application in Lidar/IMU Integrated Localization Systems by Penggao Yan, Zhengdao Li, Feng Huang, Weisong Wen, Li-Ta Hsu

“…The relationship between GMM-distributed noises and the measurement residual is rigorously established through error propagation, which is utilized to construct the test statistic for a chi-squared test. …”
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Testing different function fitting methods for mobile eye-tracker calibration by Börn Severitt, Thomas Kübler, Enkelejda Kasneci

“…We found the commonly used polynomial regression via least-squares-error fit often lacks to find good mapping functions when compared to ridge regression. …”
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Female pseudohermaphroditism due to classical 21-hydroxylase deficiency and insulin resistance in a girl with Turner syndrome by M Emre Atabek, Selim Kurtoğlu, Mehmet Keskin

“…We conclude that chronic hypersecretion of androgen precursors due to an inborn error of metabolism can induce a reduction in insulin sensitivity. …”
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ASSESSMENT WITH HIGH PRECISION OF MEASUREMENT SIGNAL PARAMETERS USING COMPENSATION OF ITS TIME DELAY IN LEAKAGE CHANNELS OF SPEECH INFORMAYTION by V. K. Zheleznyak, I. B. Burachonak

“…High accuracy and sensitivity assessment of the parameters of a complex measurement signal with a large base in information leakage channel on background high level of noise achieved by compensating with a minimum mean square error its time delay and frequency offset.…”
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Efficient on-shell matching by Mikael Chala, Javier L. Miras, José Santiago, Fuensanta Vilches

“…The standard off-shell approach to matching requires the use of a Green's basis that includes redundant and evanescent operators. The reduction of such a basis to a physical one is often highly non-trivial, difficult to automate and error prone. …”
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A Novel Miniaturized Four-Ridged Horn Antenna with Enhanced Gain by Yunqing Cao, Menglong Wang, Daoyuan Sun, Dan Shan

“…By filling the FRHA with the epoxy-laminated glass cloth board, the side length of the aperture realizes 48% reduction comparing to a traditional ridged horn antenna. …”
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Optimizing Renewable Energy Integration Using IoT and Machine Learning Algorithms by Orken Mamyrbayev, Ainur Akhmediyarova, Dina Oralbekova, Janna Alimkulova, Zhibek Alibiyeva

“…Results showed significant improvements in forecasting accuracy, with the LSTM model achieving a 59.1% reduction in Mean Absolute Percentage Error compared to the persistence model. …”
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An asymptotically unbiased 3D source localisation method based on frequencies and angles measurements by Chenggeng Zhao, Heyue Huang, Xingpeng Mao, Junjie Lang, Xiuquan Dou

“…To solve the above problem, a quadratic constraint on least squares minimisation is considered in the bias reduction method. Under moderate Gaussian noise, theoretical analysis and simulation results show that the root mean square error of proposed method can significantly reduce positioning deviation and asymptotically approach the Cramer–Rao Lower Bound. …”
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