A Robust Tool for 3D Rail Mapping Using UAV Data Photogrammetry, AI and CV: qAicedrone-Rail by Innes Barbero-García, Diego Guerrero-Sevilla, David Sánchez-Jiménez, David Hernández-López

“…The detection performance and metric results show a significant reduction in errors and increased precision compared to intermediate YOLO-based outputs. …”
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Unambiguous Multipath Mitigation Technique for BOC(n,n) and MBOC-Modulated GNSS Signals by Khaled Rouabah, Mustapha Flissi, Salim Attia, Djamel Chikouche

“…The computer simulation results show that the proposed scheme has superior performances in the reduction of the errors produced in the process of the delay estimation of line of sight (LOS) and caused by MP propagation. …”
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Pain Induced during Both the Acquisition and Retention Phases of Locomotor Adaptation Does Not Interfere with Improvements in Motor Performance by Jason Bouffard, Laurent J. Bouyer, Jean-Sébastien Roy, Catherine Mercier

“…Pain did not interfere with global performance during the acquisition or the retention phases but was associated with a shift in movement error center of gravity to later in the swing phase, suggesting a reduction in anticipatory strategy. …”
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Research on Current Compensation Method for Wavelength Jumping in MG-Y Laser by WANG Di, ZHUANG Wei, ZHANG Xu, WANG Le, LIU Wanquan

“…【Conclusion】Consequently, this compensation method led to a substantial reduction in wavelength deviation, enhancing the wavelength stability of the MG-Y laser. …”
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A model for developing a surgical and anaesthesia safety checklist in reducing surgical morbidity and mortality: A literature review by Handayani Rahmaya Nova, AryadiA M., Suandika Made, Yudha Magenda Bisma, Surtiningsih

“…A surgical checklist can prevent errors and complications that may occur during surgery or perioperatively. …”
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Filtering and Overlapping Data for Accuracy Enhancement of Doppler-Based Location Method by Rafał Szczepanik, Jan M. Kelner

“…Each of the analyzed filters with an appropriately selected cutoff frequency provides a comparable reduction in localization error at the level of about 30%. …”
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Nonlinear Adaptive Fuzzy Hybrid Sliding Mode Control Design for Trajectory Tracking of Autonomous Mobile Robots by Yung-Hsiang Chen

“…The controller is systematically derived from the trajectory-tracking error dynamics between the AMR and the desired trajectory (DT). …”
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Upper-Limb Robotic Rehabilitation: Online Sliding Mode Controller Gain Tuning Using Particle Swarm Optimization by Deira Sosa Méndez, David Bedolla-Martínez, Maarouf Saad, Yassine Kali, Cecilia E. García Cena, Ángel L. Álvarez

“…The proposed method was validated through experimental tests conducted on two healthy subjects, and the outcomes indicated a reduction of over 20% in tracking errors compared to heuristically tuned gains. …”
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Coordinated frequency modulation strategy considering source–load uncertainty by Xiaohong Dong, Shuo Wang, Dengxin Ai, Yang Ma, Xiaodan Yu

“…For the wind speed prediction error and the uncertainty of EV off-grid time, a cooperative frequency modulation (FM) strategy is proposed.MethodsFirstly, the wind speed interval is divided based on the operating characteristics of WTGs and the load reduction rate. …”
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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

“…While a 0.19m nose length resulted in a 1.67% reduction. This study helps researchers in hydrodynamics by optimizing geometry for drag reduction.…”
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Finite Element Dynamic Modeling of Smart Structures and Adaptive Backstepping Control by Zhipeng Xie, Dachang Zhu, Zhenzhang Liu, Yun Long, Fangyi Li

“…This paper proposes a modeling method that combines finite element unit bodies and orthogonal characteristic mode reduction to construct an accurate dynamic model of the smart structure and design an adaptive backstepping controller. …”
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An Adaptive CNN-Based Approach for Improving SWOT-Derived Sea-Level Observations Using Drifter Velocities by Sarah Asdar, Bruno Buongiorno Nardelli

“…We compare our method to existing filtering techniques, including a U-Net-based model and a variational noise-reduction filter. Our adaptive-filtering CNN produces accurate velocity estimates while preserving small-scale features and achieving a substantial noise reduction in the spectral domain. …”
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Provide a Solution Based on Teacher and Student Learning Algorithm to Reduce Regression Test Cases by Mahmood Deypir, Amirhossein Mohammadpour

“…The aim of selecting test items is to choose a subset that has the potential to detect errors due to changes within the software. In other words, the purposes of test selection methods is to reduce the number of test cases after changing the code and focus on identifying the modified parts of the program. …”
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Data Quality Improvement Method for Power Equipment Condition Based on Stacked Denoising Autoencoders Improved by Particle Swarm Optimization by JI Rong, HOU Huijuan, SHENG Gehao, ZHANG Lijing, SHU Bo, JIANG Xiuchen

“…However, equipment failures and personnel errors result in dirty data, having a negative effect on data quality and subsequent analysis results. …”
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Hybrid energy system optimization integrated with battery storage in radial distribution networks considering reliability and a robust framework by Mohammad Javad Aliabadi, Masoud Radmehr

“…The robust optimization results show that in the 33-bus network, the system remains resilient to prediction errors under the worst-case uncertainty scenario, with a 44.53% reduction in production and a 22.18% increase in network demand for a 30% uncertainty budget. …”
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Year patterns of climate impact models' performance: Long-term simulation of rainfed spring wheat production using five crop models under various climate patterns by Funian Zhao, Qiang Zhang, Heling Wang, Kai Zhang

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Dynamic Force Identification for Beamlike Structures Using an Improved Dynamic Stiffness Method by S.L. Chen, M. Géradin

“…Because the technique partly bypasses the processes of modal parameter extraction, global matrix inversion, and model reduction, it can eliminate many of the approximations and errors that may be introduced during these processes. …”
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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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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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Overview of diffusion boriding problems in industrial applications by Željko Stojanović, Sanja Stanisavljev

“…The paper focuses on all defects that undermine the integrity of the boride layer and which affect on the reduction of its safety in severe exploitation conditions. …”
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