Study on the Variation Law of Static Transmission Error for Cylindrical Gear by Chang Lehao, Liu Geng, He Zhaoxia

“…Based on a modified thin slice method,the static transmission error of cylindrical gear pair with tooth surface error is calculated efficiently. …”
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Conformal symplectic and constraint-preserving model order reduction of constrained conformal Hamiltonian systems by Vidushi Sachan, Ashish Bhatt

“…Moreover, we derive a priori error bounds for state space and constraints errors. …”
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Deep Learning-Based Metal Artifact Reduction With Masked Mean Squared Error Loss Function in Simulation CT for Radiation Therapy for Head and Neck Cancer by Juhyeong Ki, Wonjin Lee, Bitbyeol Kim, Dukju Kim, Seongmoon Jung, Jimin Lee

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Noise Reduction of Steam Trap Based on SSA-VMD Improved Wavelet Threshold Function by Shuxun Li, Qian Zhao, Jinwei Liu, Xuedong Zhang, Jianjun Hou

“…Compared to traditional thresholding methods, this approach increases the signal-to-noise ratio and reduces the root-mean-square error, significantly enhancing the noise reduction effect on the steam trap’s background noise signal.…”
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Geolocation error compensation method for geocoded SAR images using pixel-offset series without control points by Liqun Liu, Zhiwei Li, Yan Zhu, Yifan Zhang, Chenglong Cao, Xun Du, Kun Han, Haiqiang Fu

“…Experiments with geocoded TanDEM-X SAR images near Guangzhou, China, demonstrate that the method (1) is independent of reference image position and can resist the gross geolocation error in geocoding to a certain extent, and (2) improves the root-mean-square error of the geolocation error at the tie-points to 0.72 pixels, a 65% reduction. …”
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A Data-Driven Noise Reduction Method and Its Application for the Enhancement of Stress Wave Signals by Hai-Lin Feng, Yi-Ming Fang, Xuan-Qi Xiang, Jian Li, Guan-Hui Li

“…In this paper we describe an efficient noise reduction method. EEMD is used to decompose a signal into several intrinsic mode functions (IMFs). …”
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Stability Analysis of Slope with Multiple Sliding Surfaces Based on Dynamic Strength-Reduction DDA Method by Shuhong Wang, Chengjin Zhu, Pengyu Wang, Zishan Zhang

“…Based on the relative displacement between blocks, the dynamic strength reduction-discontinuous deformation analysis (hereinafter referred to as DSR-DDA) method is proposed for studying slopes with multiple sliding surfaces. …”
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Observation optimization for marine target tracking by airborne and maritime unmanned platforms cooperation using adaptive enhanced dung beetle optimization by Qiuyang Dai, Faxing Lu, Haoran Shi, Junfei Xu, Jianjing Qu

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AI-based biplane X-ray image-guided method for distal radius fracture reduction by Qing Zha, Qing Zha, Sizhou Shen, Ziyang Ma, Ziyang Ma, Manqiu Yu, Hongzheng Bi, Hongbo Yang, Hongbo Yang

“…Therefore, it is necessary to develop an AI-based method for calculating fracture parameters to provide real-time display, particularly in fracture reduction machines.MethodsAn AI-based method for automatically calculating of radiographic parameters in distal radius fractures (DRF) was developed. …”
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Sensitivity Analysis of MTPA Control to Angle Errors for Synchronous Reluctance Machines by Martin Petrun, Jernej Černelič

“…This study investigated the sensitivity of maximum torque per ampere (MTPA) control in synchronous reluctance machines (SynRMs) to angle errors, examining specifically how deviations in the reference control trajectory affected performance. …”
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Advanced Noise Reduction for In-Cylinder Combustion Pressure Data Using ICEEMDAN and Optimal Wavelet Selection by Van-Trung Nguyen, Minh-Tien Nguyen

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Economic Model Predictive Control for Wastewater Treatment Processes Based on Global Maximum Error POD-TPWL by Zhiyu Wang, Jing Zeng, Jinfeng Liu

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Estimation of chlorophyll content in rice canopy leaves based on main base analysis and dimensionality reduction method by YUAN Weinan, XU Tongyu, CAO Yingli, WANG Yang, YU Fenghua

“…Due to high dimensional characteristics of unmanned aerial vehicle (UAV) hyperspectral remote sensing data, we proposed a dimension reduction method based on main base analysis. The 400-1 000 nm bands which are sensitive to chlorophyll, were selected to be subjected to Gram_Schmidt transform. …”
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Imla’ Errors in Junior High School Students’ Writing: Criticism of Teacher's Pronunciation Error by Khayyu Anggun Maharani, Ashief El Qorny, Rambu Zainab Apriani, Muhammad Hilmi Syukri, Farhan Azis Wildani

“…The number of errors that occur in students' Arabic wordswriting was one of the strongest reasons for researchers to research and analyze students' mistakes in writing Arabic. …”
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Visualization of large-scale user association feature data based on a nonlinear dimensionality reduction method by Nong Linlin

“…Traditional linear dimensionality reduction methods often fail to obtain intuitive information and discover intrinsic connections and patterns in complex high-dimensional data. …”
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Development of a Novel Real-Time Weighted Surrogate Model for Wind Turbine-Based on DFIG: Enhancing Computational Efficiency in Power Systems With Error Bound by Muhammad Latif, Hira Ambreen, Tang Diyin, Farrukh Hassan, Muhammad Imran, Saddam Hussain Abbasi, Muhammad Imran

“…In the realm of modern wind turbine engineering, where precision is paramount for stability, control, and observability, this article introduces a groundbreaking method leveraging time-weighted Gramians. The focal point of this work is the reduction of model order in wind turbines featuring a double-fed induction generator with time-varying rotational speeds. …”
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CPO-VMD Combined With Multiscale Permutation Entropy for Noise Reduction in GNSS Vertical Time Series in Mining Areas by Xu Yang, Xinxin Yao, Xinjian Fang, Xuexiang Yu, Yi Wu, Shicheng Xie

“…The results of simulation and example analysis show that compared with wavelet denoising (WD), empirical modal decomposition (EMD), ensemble empirical mode decomposition (EEMD), and improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN), this method shows significant advantages in the evaluation indexes of noise reduction effect—Pearson’s correlation coefficient (R), the signal-to-noise ratio (SNR), and the root-mean-square error (RMSE)—and all the indexes are better than the comparative methods. …”
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Optimization of process parameters for sink marks and shrinkage reduction in family molds using Grey-based Taguchi method by Quoc-Nguyen Banh, Van-Keo Dong, Xuan-Hiep Tran, Anh-Son Tran, Minh-Tuan Ho

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A Novel Method for Noise Reduction and Jump Correction of Maglev Gyroscope Rotor Signals Under Instantaneous Perturbations by Di Liu, Zhen Shi, Chenxi Zou, Ziyi Yang, Jifan Li

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One step hydrothermal synthesis of magnetically separable rGO supported Fe₃O₄ and Ag nanoparticles for adsorption and reduction of organic pollutants by Eman F. Aboelfetoh

“…In this study, a magnetically separable rGO/Fe3O4/Ag nanocomposite was synthesized via a facile one step hydrothermal method, enabling simultaneous reduction of graphene oxide (GO) and in situ deposition of Fe3O4 and Ag nanoparticles. …”
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