A method to measure the azimuth of a laser-tracking cooperative target by changing inner laser's direction by Qifan Qiu, Zhi Cheng, Doudou Gao, Yang Li, Dengfeng Dong, Chengjun Cui, Yixuan Han

“…The experimental results show that the measuring device proposed in this paper is ingenious and practical, and the measuring angle error is less than 0.0187° in the working range of ±20°, which meets the demand of high-precision engineering applications.…”
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DCT-DiffPose: A Lightweight Diffusion Model With Multi-Hypothesis for 3D Human Pose Estimation by Linzhan Zhong, Fangni Chen, Bolun Zheng, Rui Feng, Lei Zhang, Jian Wan

“…Our method achieves a 19% lower Mean Per Joint Position Error (MPJPE) and a 55% reduction in FLOPs compared to D3DP. …”
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Experimental and numerical study on attenuation of shock waves in ventilation pipes by Wenjun Yu, Shuxin Deng, Shengyun Chen, Bingbing Yu, Dongyan Jin, Zhangjun Wu, Yaguang Sui, Huajie Wu

“…Corresponding parameters are provided for various structures, and the margin of error between the formulae and experimental results is within 10%, which is significant for engineering applications.…”
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Junction temperature prediction for multi-chip IGBT modules based on an improved 3D thermal network model and experimental results by Chendong Guo, Yuxuan Zhu, Liang Tong

“…Simulation results demonstrate that the proposed model achieves a prediction error of only 1.27 % compared to experimental data. …”
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Hierarchical Bayesian Reliability Model for Wind Turbines with Small Fault Sample Sets by Dameng WANG, Zhiyong MA, Yibing LIU, Wei TENG

“…The normalized root mean square error and the mean width of 95% confidence interval of reliability function are chosen as measurement indices. …”
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Kinetic investigation into Ni/CeO2 in dry reforming of methane based on Langmuir-Hinshelwood mechanism by LI Yanan, QIAO Yibing, LIU Peng, XU Haojin, WU Le, WANG Yuqi

“…The kinetic model exhibits the smallest root mean square error (0.045 9) and the residual sum of squares (0.082 2), and the highest R2 (0.984 4), which indicate that this model is the most applicable to Ni/CeO2 for dry reforming of methane. …”
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A Comparative Study on Battery Modelling via Specific Hybrid Pulse Power Characterization Testing for Unmanned Aerial Vehicles in Real Flight Conditions by Waiard Saikong, Prasophchok Phumma, Suradet Tantrairatn, Chaiyut Sumpavakup

“…Results indicate that the Thevenin model, with selective SOC-dependent parameters, demonstrated superior predictive accuracy, achieving error reductions of up to 4.26 times compared to the fixed resistance model. …”
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Comparison of Measurement Protocols for Internal Channels of Transparent Microfluidic Devices by Joris Kaal, Nicolas Feltin, Marc Lelong, Huabing Yin, Andrew Glidle, Kevin Romieu, Elsa Batista

“…A consistency analysis using normalized error statistics identified optical profilometry as the most reliable method, offering the lowest uncertainty and the highest consistency with nominal geometry values. …”
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Multi-station water level forecasting using advanced graph convolutional networks with adversarial learning by Xinhai Han, Xiaohui Li, Jingsong Yang, Jiuke Wang, Guoqi Han, Jun Ding, Hui Shen, Jun Yan, Dake Chen

“…Our model, applied to datasets from China’s Zhejiang coast and Daya Bay, outperforms baselines with a notable 12-h average root mean square error of 6.77 cm at 16 Zhejiang stations, proving its efficacy in varied maritime environments. …”
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Time-Resolved Calibration of Photon Detection Efficiency and Afterpulse Probability in 100 MHz Gated InGaAs/InP Single-Photon Avalanche Diodes by Zeyun Wang, Yiping Zhang, Hanqin Gu, Chao Han, Liang Yin, Yan Liang

“…InGaAs/InP single-photon avalanche diodes (SPADs) are widely used in applications such as quantum information, deep-space communication, and LiDAR. …”
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Deep TPS-PSO: Hybrid Deep Feature Extraction and Global Optimization for Precise 3D MRI Registration by Gayathri Ramasamy, Tripty Singh, Xiaohui Yuan, Ganesh R Naik

“…Evaluated on the BraTS 2022 dataset, TPS-PSO achieved state-of-the-art performance with a Dice Similarity Coefficient (DSC) of 85.7%, Mutual Information (MI) of 1.23, Target Registration Error (TRE) of 3.8 mm, HD95 of 6.7 mm, and SSIM of 0.92. …”
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Feasibility and staff acceptability of implementing Xpert HIV-1 viral load point-of-care testing: a pilot study in San Francisco by Kelvin Moore Jr., Noelle Le Tourneau, Jasmin Alvarez, Santos Rodriguez, Janessa Broussard, Pierre-Cédric Crouch, Jorge Roman, Patricia Defechereux, Jason Bena, Kimberly A. Koester, Lissa Moran, Christopher Pilcher, Robert Grant, Katerina A. Christopoulos

“…Clinical trial Not applicable.…”
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Morphological and Environmental Drivers of Urban Heat Islands: A Geospatial Model of Nighttime Land Surface Temperature in Iberian Cities by Gustavo Hernández-Herráez, Saray Martínez-Lastras, Susana Lagüela, José A. Martín-Jiménez, Susana Del Pozo

“…The model performance evaluation shows the highest errors in cities with lower summer severity (RMSE = 1.586 °C, MAE = 1.2686 °C, MAPE = 6.99%) and the best performance in warmer cities (RMSE = 1.4 °C, MAE = 1.14 °C, MAPE = 4.5%). …”
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Web-Based Real-Time Alarm and Teleoperation System for Autonomous Navigation Failures Using ROS 1 and ROS 2 by Nabih Pico, Giovanny Mite, Daniel Morán, Manuel S. Alvarez-Alvarado, Eugene Auh, Hyungpil Moon

“…These issues may arise due to a combination of technical, environmental, and operational factors, including inaccurate sensor data, sensor blind spots, localization errors, infeasible path planning, and an inability to adapt to unexpected obstacles. …”
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Data enhanced iterative few-sample learning algorithm-based inverse design of 2D programmable chiral metamaterials by Zhao Zeyu, You Jie, Zhang Jun, Du Shiyin, Tao Zilong, Tang Yuhua, Jiang Tian

“…Then, the algorithm uses the CD spectra and the predictions of parameters with smaller errors iteratively to achieve accurate values of the remaining parameters. …”
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Identification of Outer Galaxy Cluster Members Using Gaia DR3 and Multidimensional Simulation by Vishwas Patel, Joseph L. Hora, Matthew L. N. Ashby, Sarita Vig

“…We introduce the Generation Of cLuster anD FIeld STar (GOLDFIST) simulation to enable robust membership determination, performing an unsupervised clustering analysis in higher-dimensional feature space while accommodating measurement errors. In this study, we extended our approach to distant outer galaxy YSOs and clusters with larger astrometric uncertainties. …”
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Quaternion Signal Analysis for Detection of Broken Rotor Fault Degrees in Induction Motors by Jose Luis Contreras-Hernandez, Dora Luz Almanza-Ojeda, Rogelio Castro-Sanchez, Mario Alberto Ibarra-Manzano

“…We assess its accuracy through root mean square error (RMSE) analysis, which improves with increased sample size and regression complexity. …”
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Evaluating Assistive Technology Outcomes in Boccia Athletes with Disabilities Using AI-Based Kinematic Analysis by Wann-Yun Shieh, Yan-Ying Ju, Shiu-Yuan Yang, I-Chun Chen, Hsin-Yi Kathy Cheng

“…ViTPose outperformed OpenPose in joint detection accuracy (F1-score: 85% vs. 79.5%), while Lifting improved 3D estimation by reducing joint position error by 16%. Principal Component Analysis revealed greater movement consistency in overhand throws compared to underhand techniques. …”
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Research on a Hybrid Self-Powered Landslide Rainfall Sensor Based on Triboelectric Nanogenerators and Electromagnetic Generators by Hao Zou, Zexu Zuo, Xianhong Shen, Kun Song, Shuai Mao, Bing Chen

“…Experimental results demonstrate that the sensor’s measurement error is less than 5%, and it can operate stably under conditions of temperature below 90 °C and humidity below 90%. …”
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Design and Implementation of a High-Throughput Digital Microfluidic System Based on Optimized YOLOv8 Object Detection by Ming Cao, Wufeng Duan, Zuwei Huang, Huihong Liang, Fanrong Ai, Xianming Liu

“…The system exhibits enhanced detection precision and real-time responsiveness, maintaining an error rate below 0.53%. Furthermore, a host computer interface was implemented for multi-droplet path planning and feedback, establishing a closed-loop control system. …”
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