Research on dynamic modeling and control strategy of motor driven operating mechanism for 126 kV high voltage vacuum circuit breaker by Yifei Wang, Jianyuan Xu, Wei Li, Jinming Liu

“…Furthermore, comparative control experiments have been conducted in the motor-breaker integrated experimental platform to assess the reduction in the motor’s position tracking error, contact bouncing duration, and mechanical collision duration under the optimized motor control strategy. …”
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Analysis of the fresnel breakdown and diffraction losses across a hilly terrain region by Thaisa Jawhly

“…Furthermore, the International Telecommunication Union (ITU) recommendations and knife-edge diffraction model agreed fairly with the measurement data. The RMSE error for the proposed NLOS model fit was 9.56 compared to 9.21 for the measurement data fit, while that of the total loss (NLOS and LOS) was 13.92 compared to 12.56 for the measurement data fit. …”
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Multi-Level Feature Fusion Attention Generative Adversarial Network for Retinal Optical Coherence Tomography Image Denoising by Yiming Qian, Yichao Meng

“…<b>Results</b>: MFFA-GAN achieved good performance (PSNR:30.107 dB, SSIM:0.727, CNR:3.927, ENL:529.161) on smaller datasets, outperforming benchmarks and further enhanced interpretability through pixel error maps. It preserved retinal layers and textures while suppressing noise. …”
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Designing a new optimal controller for a PEMFC by an improved design of the Coot Optimizer by Zheng Wang, Mehrdad Rezaie, Gholamreza Fathi

“…Comparative analyses against three other control techniques confirm a wide system enhancement, evidenced by a substantial reduction in both current and overshoot ripples. Algorithm verification using benchmark functions shows the ICOA achieves lower mean values and standard deviations, with p-values indicating statistically significant improvements (p < 0.05) in Root Mean Square Error (RMSE) compared to COA, MVO, EPO, and LOA algorithms, validating its enhanced optimization capabilities for PEMFC control.…”
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A Double-Cladding Single Polarization Photonic Crystal Fiber and Its Structure Deviation Tolerance by Yating Shen, Longfei Wang, Meisong Liao, Yinyao Liu, Fei Yu, Dakun Wu, Wanjun Bi, Yongzheng Fang, Weiqing Gao

“…The influence of realistic fabrication errors involving structure deviation on SPSM operation has also been systematically investigated.…”
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Investigation of DC-Biased Optical OFDM With Precoding Matrix for Visible Light Communications: Theory, Simulations, and Experiments by Tao Jiang, Ming Tang, Rui Lin, Zhenhua Feng, Xi Chen, Lei Deng, Songnian Fu, Xiang Li, Wu Liu, Deming Liu

“…Furthermore, severe high-frequency fading due to the limited system bandwidth results in poor bit error rate (BER) performance. Precoding matrix (PM) techniques have been proposed to enhance the performance of VLC OFDM transmission, but a little or no work has been carried out in investigating the theory of PM used in OFDM VLC systems. …”
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Adding Data Quality to Federated Learning Performance Improvement by Ernesto Gurgel Valente Neto, Solon Alves Peixoto, Valderi Reis Quietinho Leithardt, Juan Francisco de Paz Santana, Julio C. S. Dos Anjos

“…Poor-quality data introduces errors, delays convergence, and increases computational costs. …”
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Research on the Aerodynamic Characteristics of an Ultrahigh-speed Elevator During the Staggering Process Between the Car and Counterweight by B. Liu, J. C. Ma, J. Zhang, M. Z. Li, Z. X. Tian, M. M. Liu, H. Zhang, L. Xu

“…Additionally, the simulation and test errors are within 10%, confirming the accuracy of the numerical calculation method.…”
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Reducing sewing defects to increase productivity in the apparel industry of Bangladesh by integrating lean methodology by Md. Limonur Lingkon, Pronab Saha, Abdulla Al Manzid, Md. Hasan, Showra Mahalanobish

“…The findings should offer valuable insights to the RMG industry in Bangladesh, as producers seek sustainable methods to increase productivity and enhance product quality while mitigating the impact of sewing errors on their production procedures. OEE was increased by almost 3-4% through this research.…”
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Characteristics prediction and optimization for fan duct surface heat exchanger using regional heat transfer correlation and NSWOA aided by Sobol’ by Zhe Xu, Zongling Yu, Xin Ning, Changyin Zhao, Zhihua Zhu, Zhibin Feng

“…Compared to experimental data, the average relative errors of heat transfer capacity and oil-side pressure drop prediction are 9.39 % and 8.39 %, respectively, which indicates that this method is feasible and reliable. …”
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Contributions to increasing the accuracy and reducing the forming forces of robot-based two-point incremental forming by Scholz Peter, Weise Dieter, Pierer Alexander, Naumann Christian, Dix Martin, Terlau Marina, von Freyberg Axel, Fischer Andreas

“…Static experiments show that a measurement uncertainty below of 50 µm is achievable after the correction of systematic errors. Additional experiments demonstrated the applicability of the sensor network for measuring the tool position on a moving robot. …”
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Integrating Design for Manufacturing and Assembly Principles in Modular Home Construction: A Comprehensive Framework for Enhanced Efficiency and Sustainability by Sadaf Montazeri, Nicole Odo, Syed Abdul Wasey Naqvi, Zhen Lei

“…The findings indicated that implementing design for manufacturing and assembly principles led to a 40% reduction in design phase duration and a 48% decrease in production errors. …”
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Recurrent Neural-Based Vehicle Demand Forecasting and Relocation Optimization for Car-Sharing System: A Real Use Case in Thailand by Peerapon Vateekul, Panyawut Sri-iesaranusorn, Pawit Aiemvaravutigul, Adsadawut Chanakitkarnchok, Kultida Rojviboonchai

“…The data preprocessing is presented in order to automatically remove fake demands caused by search failures and application errors. Then, the real demand is forecasted using a deep learning approach, Bidirectional Gated Recurrent Unit. …”
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False positive results in the Widal test in adults immunized with the Commirnaty (Pfizer-BioNtech) and BBIBP-CorV (Sinopharm) vaccines against COVID-19 by Jeel Moya-Salazar, Lizbeth Y. Ciprian, Víctor Rojas-Zumaran, Belén Moya-Salazar, Belén Moya-Salazar, Eliane A. Goicochea-Palomino, Hans Contreras-Pulache

“…IntroductionVaccination against COVID-19 has generated a dramatic reduction in deaths and infections worldwide. However, there may be cross-reactivity with numerous biochemical and immunological markers. …”
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Polyphenol-Containing Feed Additive Polygain™ Reduces Methane Production and Intensity from Grazing Dairy Cows Measured Using an Inverse-Dispersion Technique by Mei Bai, Pragna Prathap, Muhammed Elayadeth-Meethal, Matthew Flavel, Richard Eckard, Frank R. Dunshea, Richard Osei-Amponsah, Mohammad Javed Ashar, Deli Chen, Surinder Chauhan

“…This potential CH₄ reduction extrapolated across Australia contributes to a 2.63% reduction in national agricultural emissions. …”
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Design of nonlinear gradient sheet-based TPMS-lattice using artificial neural networks by Zhou Li, Junhao Li, Jiahao Tian, Shiqi Xia, Kai Li, Guanqiao Su, Yao Lu, Mengyuan Ren, Zhengyi Jiang

“…Taking a typical cantilever beam TPMS structure as an example of nonlinear gradient design, the results indicate that the error between the ANN-predicted and FE-simulated structure topology element densities is only 2.73 %, with prediction time being only 0.15 % of the simulation time. …”
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Research on Key Parameters of Wellbore Stability for Horizontal Drilling in Offshore Hydrate Reservoirs by Zhengfeng Shan, Xiansi Wang, Zeqin Li, Zhenggang Gong, Nan Ma, Jianbo Zhang, Zhiyuan Wang, Baojiang Sun

“…In this study, in light of the engineering background of exploratory wells at the South China Sea, a temperature and pressure field model in a gas hydrate reservoir at sea during open circuit drilling was established, and then, based on this model, a comprehensive model for the stability analysis of the well drilled in the hydrate reservoir at sea was constructed, both of them with errors of less than 10%. With these two models, the effects of different drilling parameters on wellbore stability were investigated. …”
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Lumped Parameter Model for Structural Analysis of Over-Constrained Multi-Legged Parallel Mechanism Supporting System Applied to Cryogenic Devices by Luca Piacentini, Luca Dassa, Diego Perini, Andris Ratkus, Toms Torims, Stefano Uberti

“…Results show that the proposed model has a strong agreement with finite element simulations, and the median of relative errors is about 1.4%. This accuracy is obtained for models of randomly arranged supports, which proves the effectiveness of the model in predicting results even for non-symmetrical support configurations. …”
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Toward a Next Generation Particle Precipitation Model: Mesoscale Prediction Through Machine Learning (a Case Study and Framework for Progress) by Ryan M. McGranaghan, Jack Ziegler, Téo Bloch, Spencer Hatch, Enrico Camporeale, Kristina Lynch, Mathew Owens, Jesper Gjerloev, Binzheng Zhang, Susan Skone

“…With a more capable representation of the organizing parameters and the target electron energy flux observations, PrecipNet achieves a >50% reduction in errors from a current state‐of‐the‐art model oval variation, assessment, tracking, intensity, and online nowcasting (OVATION Prime), better captures the dynamic changes of the auroral flux, and provides evidence that it can capably reconstruct mesoscale phenomena. …”
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The Utilization of a Naïve Bayes Model for Predicting the Energy Consumption of Buildings by Behnam Sadaghat, Ali Javadzade Khiavi, Babak Naeim, Erfan Khajavi, Hadi Sadaghat, Amir Reza Taghavi Khanghah

“…It achieves an outstanding maximum  value of 0.987, showcasing a high degree of explanatory power and an impressively low  value of 1.166, signifying minimal prediction errors in comparison to other models. Additionally, the NBAV obtained a valuable result based on an R2 value of 0.978 and an RMSE value of 1.510, indicating the model's reliable results. …”
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