Positioning Error Analysis of Distributed Random Array Based on Unmanned Aerial Vehicles in Collaborative Jamming by Yongjie Zhao, Longqing Li, Deming Hu, Zhiping Huang, Xiaojun Guo, Junhao Ba, Honghe Huang, Shudong Yuan, Jing Zhou

“…This paper examines the impact of angle and distance errors on jamming effectiveness, deriving upper error bounds under various suppression coefficients. …”
Get full text

A Phase Error Compensation Method for High-Rise Targets in High-Resolution SAR Images by JiaDong Deng, Wei Yang, HongCheng Zeng, YaMin Wang, Jiayi Guo, Wei Xiong, Min Liu, Jie Chen, Wei Liu

“…High-resolution images of urban areas generated by spaceborne synthetic aperture radar (SAR) have a wide range of applications. However, with the improvement in resolution, the slant range error caused by the height of buildings leads to high-order and complex phase errors during the imaging process, which in turn causes image defocusing. …”
Get full text

A new approach to error inequalities: From Euler-Maclaurin bounds to cubically convergent algorithm by Miguel Vivas-Cortez, Usama Asif, Muhammad Zakria Javed, Muhammad Uzair Awan, Yahya Almalki, Omar Mutab Alsalami

“…With the help of a new auxiliary result and some well-known ones, like Hölder's, the power mean, improved Hölder, improved power mean, convexity, and bounded features of the function, we obtained new bounds for Euler-Maclaurin's inequality. From an applicable perspective, we developed several intriguing applications of our results, which illustrated the relationship between the means of real numbers and the error bounds of quadrature schemes. …”
Get full text

Averaging gate approximation error and performance of Unitary Coupled Cluster ansatz in Pre-FTQC Era by Kohdai Kuroiwa, Yuya O. Nakagawa

“…Pre-FTQC era, due to the constraint on available resources, it is vital to precisely estimate the decomposition error of a whole circuit. In this paper, we propose that the Clifford+$T$ decomposition error for a given quantum circuit containing a large number of quantum gates can be modeled as the depolarizing noise by averaging the decomposition error for each quantum gate in the circuit, and our model provides more accurate error estimation than the naive estimation. …”
Get full text

An Error Analysis Study for the Distributed-Order Time-Fraction Model Using an Efficient Numerical Method by Saeed Kosari, Hao Guan, MohammadHossein Derakhshan

“…Also, convergence and error are investigated in this paper. Finally, several numerical examples to show the applicability of our scheme are displayed.…”
Get full text

Performance analysis of global local mean square error criterion of stochastic linearization for nonlinear oscillator by Luu Xuan Hung, Nguyen Cao Thang

“… The paper presents a performance analysis of global-local mean square error criterion of stochastic linearization for some nonlinear oscillators. …”
Get full text

“Ensembled transfer learning approach for error reduction in landslide susceptibility mapping of the data scare region” by Ankit Singh, Nitesh Dhiman, K. C. Niraj, Dericks Praise Shukla

Get full text

Uniform Bounds of Aliasing and Truncated Errors in Sampling Series of Functions from Anisotropic Besov Class by Peixin Ye, Yongjie Han

“…Errors appear when the Shannon sampling series is applied to approximate a signal in real life. …”
Get full text

A Compressive Sensing-Based Bistatic MIMO Radar Imaging Method in the Presence of Array Errors by Zhigang Liu, Jun Li, Junqing Chang, Yifan Guo

“…The proposed recovery method is more robust than the existed method in small samples, especially in the case of one snapshot. It is applicable in the case of relatively small array gain and phase errors. …”
Get full text

An Integrated Method of Multiradar Quantitative Precipitation Estimation Based on Cloud Classification and Dynamic Error Analysis by Yong Huang, Huijuan Liu, Yun Yao, Ting Ni, Yan Feng

“…Applications show that the KFOI can improve precision of estimating precipitation for multiple precipitation types.…”
Get full text

Classical Versus Bayesian Error-Controlled Sampling Under Lognormal Distributions with Type II Censoring by Huasen Zhou, Wenhao Gui

Get full text

Multi-Probe Measurement Method for Error Motion of Precision Rotary Stage Based on Reference Plate by Xiaofeng Zheng, Tianhao Zheng, Daowei Zhang, Zhixue Ni, Lei Zhang, Deqiang Mu

“…This method employs principles and methods to avoid harmonic suppression issues through optimal probe designs, enabling simultaneous quantification of tilt and axial error motions via error separation. Error separation techniques can effectively decouple motion errors from artifact form error, making them widely applicable in precision measurement data processing. …”
Get full text

On the Beam Width Optimization for the Ergodic Capacity of FSO Channels With Misalignment Errors Modeled by Beckmann Distributions by Ruben Boluda-Ruiz, Antonio Garcia-Zambrana, Beatriz Castillo-Vazquez, Carmen Castillo-Vazquez, Khalid Qaraqe

“…Despite the growing interest in underwater and space applications, terrestrial free-space optical (FSO) links still remain of main priority, and the performance of such systems is deeply dependent not only on weather conditions but also on atmospheric scintillation and misalignment errors. …”
Get full text

A Novel Azimuth Channel Errors Estimation Algorithm Based on Characteristic Clusters Statistical Treatment by Wensen Yang, Ran Tao, Hao Huan, Jing Feng, Longyong Chen, Yihao Xu, Junhua Yang

“…However, in practical engineering applications, errors between channels can significantly affect the reconstruction of multi-channel echo data, leading to a degraded synthetic aperture radar image. …”
Get full text

Minimum zone fitting and error evaluation for arc correction type convex contour of bearing roller by Ruidong Man, Zhenyu Ma, Xianqing Lei, Xianping Tu, Xiaoyi Wang, Chuanmeng Yang

“…The minimum zone fitting and error evaluation for the arc-modified convex contour of a bearing roller have important applications for consistency detection and quantificational research of the elastohydrodynamic lubrication of a bearing roller. …”
Get full text

Nonlinear squeezing flow of stratified fluids: A comprehensive study on convective conditions and probable errors by Anum Shafiq, Tabassum Naz Sindhu, Muhammad Ahmad Iqbal, Tahani A. Abushal

“…A thorough understanding of magnetohydrodynamic (MHD) squeezing fluid flow in non-Darcian media is essential for advancing a wide range of engineering applications, including cooling systems, polymer processing, and biomedical devices. …”
Get full text

Reinforcement Learning-Based Approach to Reduce Velocity Error in Car-Following for Autonomous Connected Vehicles by Abu Tayab, Yanwen Li, Ahmad Syed

“…Results showed significant improvements in velocity tracking, with the RL-based control method reducing velocity error by over 50% compared to conventional approaches. …”
Get full text

Adequacy Evaluation of Power System Ramping Capability Based on Net Load Forecast Error Statistics by Zhongfei CHEN, Yue ZHAO, Qiuna CAI, Qiaoyu ZHANG, Zelin WANG, Xiaojuan DAI, Yuguo CHEN

“…This research indicates that the surplus ramping capability demand-supply ratio can effectively identify the ramping characteristics in different typical days and special periods, reflecting the adequacy of ramping capability in the day and minute scale; the indicators such as coverage, excess, and estimation quantity can be used to evaluate the applicability of error estimation models in different regions and scenarios, serving as a reference for model selection.…”
Get full text

Wave Prediction Error Compensation and PTO Optimization Control Method for Improving the WEC Power Quality by Tianlong Lan, Jiarui Wang, Luliang He, Peng Qian, Dahai Zhang, Bo Feng

“…The efficiency and stability of the power take-off (PTO) system are also important research topics in WEC applications. In order to solve the above-mentioned problems, this paper presents a model predictive control (MPC) method composed of a prediction error compensation controller and a PTO optimization controller. …”
Get full text

Utilizing Machine Learning Approach to Forecast Average Location Determination Errors in Wireless Sensor Networks by Zhihui Zhu, Meifang Zhu

“…This is evident from the RFGJ model's superior performance metrics during training, including the highest R2 value of 0.996 and the lowest Root Mean Squared Error (RMSE) value of 0.028. These findings establish the RFGJ model as a promising tool for optimizing collaborative localization in WSNs, enabling more efficient and reliable localization across various applications.…”
Get full text