Dynamic weighing method for coal and gangue in coal-gangue sorting robots by CAO Xiangang, LIU Yizhe, WU Xudong, WANG Peng, ZHANG Ye

“…With the addition of the IQR algorithm, the weighing error of the dynamic weighing model was further reduced to 4.69%, representing a 61.74% reduction compared to the case without triaxial acceleration compensation and the IQR algorithm. …”
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An Integrated Model for Dam Break Flood Including Reservoir Area, Breach Evolution, and Downstream Flood Propagation by Huiwen Liu, Zhongxiang Wang, Dawei Zhang, Liyun Xiang

“…Although the relative error of the completion time of the final breach is greater than 10%, it is about 30% less than the relative error of the physical model.…”
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Synchronous Control of a Dual-Motor Driving Rack and Pinion Module for Steer-by-Wire System by Insu Chung, Sehoon Oh, Kanghyun Nam

“…In order to improve these two goals, the existing synchronous control structures mainly designed controllers in the case of command tracking, and synchronization between motors used a compensation method using synchronous error. However, this method makes it difficult to analyze or control the level of synchronous error. …”
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A Trajectory Prediction Method for High-Speed and High-Maneuverability Glide Vehicle Based on Mid-Terminal Guidance Handover Point Identification by Ma Kangkang, Zhao Liangyu, Hu Xingzhi, Li Mingjie

“…Compared to directly utilizing a deep learning mo-del for prediction, the proposed prediction method demonstrates a reduction of 37.61% in average prediction error and 37.34% in maximum prediction error within a prediction time of 240 s.…”
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MINIMIZATION OF RISK OF THE ERRONEOUS DECISION IN THE ASSESSMENT OF THE IMPORTANCE OF STATISTICAL RELATIONS OF TECHNICAL AND ECONOMIC INDICATORS OF THE OBJECTS OF ELECTRIC POWER SY... by E. M. Farhadzadeh, A. Z. Muradaliyev, Yu. Z. Farzaliyev, T. K. Rafiyeva, S. A. Abdullayeva

“…Traditionally, increase of reliability of the decision is reached by reduction of a Type I error. Usually it is accepted to be equal to 5%, occasionally – to 1%, and at researches – even to 0.5 %. …”
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Sustainable energy: Advancing wind power forecasting with grey wolf optimization and GRU models by Zainab Al-Ibraheemi, Samaher Al-Janabi

“…The proposed approach addresses both larger datasets and the impact of noise samples on prediction errors. Additionally, an MLDDR model was introduced to predict DC power generated from wind datasets, encompassing five stages: Data Preparation, Feature Selection, Data Compression, GRU-Based Predictions, and Rate of Reduction. …”
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Sowing Depth Monitoring System for High-Speed Precision Planters Based on Multi-Sensor Data Fusion by Song Wang, Shujuan Yi, Bin Zhao, Yifei Li, Shuaifei Li, Guixiang Tao, Xin Mao, Wensheng Sun

“…High-speed precision planters are subject to high-speed (12~16 km/h) operation due to terrain undulation caused by mechanical vibration and sensor measurement errors caused by the sowing depth monitoring system’s accuracy reduction problems. …”
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Hydrodynamic Performance Enhancement of Torpedo-Shaped Underwater Gliders Using Numerical Techniques [version 2; peer review: 1 approved, 2 approved with reservations, 1 not approv... by Srinivas G, Sudheendra Prabhu K

“…Results Research was also attempted with different turbulent models and the Spalart-Allmara model was producing least validation error of 1.28 % with a primary focus on nose optimization. …”
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Pedestrian trajectory prediction model based on self-supervised spatiotemporal graph network by Shiji Yang, Xuezhong Xiao

“…The experimental results demonstrate that this model exhibits enhancements in both ADE and FDE metrics when compared to the SOTA model, with an average prediction error reduction of 15 % and 10 %, respectively. In scenes with dense pedestrians such as the UNIV dataset, the prediction errors are reduced by 25 % and 22 %.…”
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Optimization of load-bearing parameters for anisotropic nodes and prefabricated wall panels in prefabricated shear wall structures. by Jun Zhao, Libo Wang, Tengye Ma

“…The experimental results showed that the control error of the nodal quality control model was as low as 0.9 mm. …”
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Enhancing Continuum Robotics Accuracy Using a Particle Swarm Optimization Algorithm and Closed-Loop Wire Transmission Model for Minimally Invasive Thyroid Surgery by Na Guo, Haoyun Zhang, Xingshuai Li, Xinnan Cui, Yang Liu, Jiachen Pan, Yajuan Song, Qinjian Zhang

“…Experimental results demonstrate a 37.74% average improvement in repetitive positioning accuracy and a 52% reduction in maximum absolute error. However, residual positioning errors (up to 4.53 mm) at motion boundaries highlight the need for integrating nonlinear friction compensation. …”
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Facial Feature Recognition with Multi-task Learning and Attention-based Enhancements by M. Rohani, H. Farsi, S. Mohamadzadeh

“…Using the UTKFace dataset as the evaluation benchmark, our model achieves a 0.62% improvement in gender recognition accuracy, a 2.35% improvement in race recognition accuracy, and a noteworthy 3.23-year reduction in mean absolute error for age estimation.…”
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Groundwater Pollution Concentration Estimation with Modified Kalman Filter Method by Nenik Estuningsih, Fatmawati Fatmawati

“…The modified Kalman filter method is a method that collaborates the Kalman filter estimation algorithm with the model order reduction method. The model order reduction method used in this research is the LMI (Linear Matrix Inequality) method because the model reduction error using the LMI method is the smallest error compared to the reduction error using the Balanced Truncation method or the Singular Pertrubation Approximation method. …”
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Improving standard volar plate fixation in 3D-guided corrective osteotomy of the distal radius: evaluation of a shim instrument by Emilia Gryska, Katleen Libberecht, Charlotte Stor Swinkels, Peter Axelsson, Per Fredrikson, Anders Björkman

“…The volar tilt error due to the shim instrument, indicated by the mean angle error of the distal screws to the plate, was 2.1° but varied across the five patients. …”
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An Improved Methodology to Locate Faults in Onshore Wind Farm Collector Systems by Moisés Davi, Alailton Júnior, Caio Grilo, Talita Cunha, Leonardo Lessa, Mário Oleskovicz, Denis Coury

“…The proposed methodology, which combines the various fault location methods tailored to specific fault types, results in a substantial improvement, achieving an average fault location error of 1.89%, reflecting a 92% reduction in error compared to conventional methods. …”
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Improved tooth flank region segmentation method of interference image by U-net neural network by YANG Pengcheng, ZHANG Jinjing, LI Xiaocheng, MENG Jie, KANG Leqian

“…Laser interferometry is an effective method to measure the tooth flank topography errors, and the information of tooth flank topography can be obtained accurately by using interferometric image processing technology. …”
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A high-precision 1 × 15 infrared temperature measurement linear array based on thermopile sensors by Jindong Bai, Wenhang Yang, Shouzheng Zhu, Haijun Jin, Yuchen Zhang, Ke Jin, Xiaoshuai Liu, Chunlai Li, Jianyu Wang, Hongxing Qi, Shijie Liu

“…On the FPGA control board, a multiparameter temperature compensation algorithm is used to address intrinsic temperature differences and consistency errors among the sensors. Compared with the traditional two-point calibration method, the temperature measurement accuracy of the proposed method reaches 26 mK in the temperature range of 293–303 K, the maximum repeatability error of the sensor is less than 5.5 mK, and the non-uniformity error between 15 sensors is less than 11.9 mK. …”
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Assessing doming mitigation strategies for enhanced inspection of masonry retaining walls with SfM as a cost-effective 3D imaging solution by Maxwell Wondolowski, Alexandra Hain, Sarira Motaref, Michael Grilliot

“…SfM models not initially exhibiting doming displayed an average of 5.8 mm (0.23 in) root mean square error (RMSE) when compared to TLS baselines. The errors in SfM models that exhibited doming were improved with the addition of ground control points, resulting in a 46% reduction in error. …”
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O-Arm Imaging With Real-Time Control for Organ Motion Tracking: A Feasibility Study by Ashkan Ghorbanian, Mobin Salehi, Mohammad Sajad Sokout, Borhan Beigzadeh

“…The tracking accuracy of the applied control system can maintain errors within 1mm for the X- and Y-axis, and 1.5mm for the Z-axis after two respiration cycles for an ideal model of the respiration; such error for the Z-axis is about 2mm for actual respiration data. …”
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Multi‐Model Assessment of PCA‐Informer Hybrid Model Against Empirical and Deep Learning Methods in TEC Forecasting by Yang Lin, Hanxian Fang, Die Duan, Ding Yang, Hongtao Huang, Chao Xiao, Ganming Ren

“…Our evaluation, based on test set data from 2015 to 2022, demonstrate that the PCA‐Informer model outperforms the IRI‐2016, standalone Informer, and PCA‐enhanced Long Short‐Term Memory (PCA‐LSTM) models in terms of accuracy with root mean squared error (RMSE) of 2.60 TECU and mean relative error (MRE) of 14.1%, and stability for predicting TEC maps for the subsequent 2 days. …”
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