Particle Size Inversion Based on <i>L</i>_1,∞-Constrained Regularization Model in Dynamic Light Scattering by Changzhi Li, Zhi Dou, Yajing Wang, Jin Shen, Wei Liu, Gaoge Zhang, Zhixiang Yang, Xiaojun Fu

“…The inversion outcomes for the 33 nm unimodal particles, the 55 nm unimodal, and the 33 nm/203 nm bimodal experimental particles show that <i>L</i>_1,∞ reduces peak errors by at most 6.06%, 5.46%, and 12.12%/3.94% compared to <i>L</i>_2,2, <i>L</i>_1,2, and <i>L</i>_2,∞ models, respectively. …”
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Research on step-by-step visual servo control system of anchor drilling robot by Mengyu LEI, Xuhui ZHANG, Wenjuan YANG, Jicheng WAN, Yuyang DU, Henghan YU, Chenhui TIAN

“…Test results demonstrate average positioning errors of 7.5, 7.8, and 8.1 mm in X, Y, and Z axes respectively, with the step-by-step control approach successfully achieving both coarse positioning and fine alignment. …”
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An evaluation of multi-fidelity methods for quantifying uncertainty in projections of ice-sheet mass change by J. D. Jakeman, M. Perego, D. T. Seidl, T. A. Hartland, T. R. Hillebrand, M. J. Hoffman, S. F. Price

“…When quantifying uncertainty introduced by a high-dimensional parameterization of the basal friction field, MFSE was able to reduce the mean-squared error in the estimates of the statistics by well over an order of magnitude when compared to a single-fidelity approach that only used the highest-fidelity model. …”
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A Methodology for Turbine-Level Possible Power Prediction and Uncertainty Estimations Using Farm-Wide Autoregressive Information on High-Frequency Data by Francisco Javier Jara Ávila, Timothy Verstraeten, Pieter Jan Daems, Ann Nowé, Jan Helsen

“…The results demonstrate that the proposed method improves predictive accuracy over the manufacturer’s power curve, achieving a reduction in error measurements of around 1%. Improvements of around 5% were seen in dominant wind directions (200°–300°) using 2 and 3 Latent GPs, with similar improvements observed on the test set. …”
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Operational Performance Assessment of PV-Powered Street Lighting: A Comparative Study of Different Machine Learning Prediction Models by Safwan Nadweh, Nabil Mohammed, Charalambos Konstantinou, Shehab Ahmed

“…The results indicate that DNNs and DBNs algorithms achieve the lowest error rate (2.5%) and highest accuracy (97%) with high-quality data. …”
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The Impact of Firework Ban Relaxation on Variations in SO₂ Emissions in China During the 2023 Chinese New Year by Xinyu He, Yiwen Hu, Yi Li, Zengliang Zang, Wei You, Lang Liu

“…Compared to the forecasts using the prior emissions, the optimized emissions markedly improved the model forecasts of SO₂ during the 2023 CNY period, with an increase in the correlation coefficient (R) from 0.13 to 0.64 and a reduction in the root mean square error (RMSE) by 49.2%, demonstrating the effectiveness of the optimized emissions. …”
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Acute Effects of Static Stretching on Submaximal Force Control of the Ankle by Fuma Sentoku, Yuta Koshino, Masahiro Sato, Tomoya Ishida, Satoshi Kasahara, Harukazu Tohyama, Mina Samukawa

“…The primary outcomes included ankle dorsiflexion range of motion (ROM), musculotendinous stiffness, and the root mean square error (RMSE) of force tracking. Compared to the control group, SS significantly increased dorsiflexion ROM and reduced musculotendinous stiffness. …”
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Finite Element Analysis of a Novel Temporary External Fixator (TEF) in Mandibular Reconstruction by Rungsan Chaiyachet, Surasith Piyasin, Weerayut Jina, Teerawat Paipongna, Apichart Boonma

“…A mesh convergence test with a 0.33 mm mesh size and 1,005,000 elements had a solution time of 205 seconds, with a relative error under 0.161%. Static structural behavior of the Left Unilateral Molar Clench (LMOL) was also analyzed. …”
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Data-Driven Prediction Methods for Lithium-Ion Battery State of Health Based on Elbow Rule by Liu Zhang, Bo Xing, Yanbing Gao, Lei Yao, Dengfeng Zhao, Jinquan Ding, Yanyan Li

“…The findings reveal a relative error of approximately 4% when maintaining lithium-ion battery SOH at 80%, affirming the GPR model&#x2019;s high accuracy and robust adaptability for SOH prediction.…”
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SVR-Optimized ANN Model for Predicting Earthquake Risk in Electrical Substations Based on Disaster Datasets in the Aceh Region, Indonesia by Elvy Sahnur Nasution, Yuwaldi Away, Syahrial, Ira Devi Sara, Andri Novandri

“…This improvement is indicated by a reduction in error and an increase in the coefficient of determination (<inline-formula> <tex-math notation="LaTeX">$R^{2}$ </tex-math></inline-formula>). …”
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Simulation Study on the Accuracy of Modified Distributed Beamforming in Phased Array Weather Radars for Various Precipitation Events by Steffy Benny, Swaroop Sahoo, S. Athira, V. Chandrasekar

“…The modified DB technique radar variables have been found to have error less than 5 dBZ for reflectivity, 1 dB for differential reflectivity and 0.08 for correlation coefficient. …”
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Human-machine interaction in mechanical systems through sensor enabled wearable augmented reality interfaces by K. Balamurugan, G. Sudhakar, Kavin Francis Xavier, N. Bharathiraja, Gaganpreet Kaur

“…The proposed setup demonstrated an enhanced industrial performance in a simulated environment through error reduction by 22.3 % along with a 31.1 % increase in task speed and a 27.8 % improvement in situational awareness recorded through NASA-TLX cognitive load evaluations. …”
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Electromagnetic coil optimization for reduced Lorentz forces by Siena Hurwitz, Matt Landreman, Paul Huslage, Alan Kaptanoglu

“…The reduction of magnetic forces on electromagnetic coils is an important consideration in the design of high-field devices such as the stellarator or tokamak. …”
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Machine Learning Techniques for Predicting Typhoon‐Induced Storm Surge Using a Hybrid Wind Field by Changyu Su, Bishnupriya Sahoo, Miaohua Mao, Meng Xia

“…ML is trained to overcome the residual error of the FVCOM, effectively reducing the inherent uncertainty of traditional methods. …”
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Enhanced Spatiotemporal Landslide Displacement Prediction Using Dynamic Graph-Optimized GNSS Monitoring by Jiangfeng Li, Jiahao Qin, Kaimin Kang, Mingzhi Liang, Kunpeng Liu, Xiaohua Ding

“…The DCRNN-proposed model achieved the highest accuracy among eight competing models, recording a Root Mean Square Error (RMSE) of 2.773 mm in the Vertical direction, a 39.1% reduction compared to its baseline. …”
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Vibration Analysis and Optimization of Iron-Core Reactors Based on Fe-Based Soft Magnetic Composite Materials by Yangyang Ma, Wenle Song, Jie Gao, Yang Liu, Yilei Shang, Weimei Zhao, Fuyao Yang

“…The characteristic parameters of the improved model are identified using the particle swarm optimization&#x2013;simulated annealing (PSO-SA) algorithm, with the identified root mean square error not exceeding 3.5, verifying the model&#x2019;s accuracy. …”
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Flocking-Inspired Solar Tracking System with Adaptive Performance in Varied Environmental Conditions by Khadidja Dahli, Adrian Ilinca, Abdellah Benallal, Nawal Cheggaga, Tayeb Allaoui

“…The tracking accuracy improved by 84%, with the mean tracking error reduced in the range of 0.78° to 1.09°. The system also captured 17.4% more solar irradiance, showcasing its superior efficiency. …”
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UAV-Aided Transceiver Design for Secure Downlink OW-DFTs-OFDM System: A Multi-User mmWave Application by Joarder Jafor Sadique, Saifur Rahman Sabuj, Shaikh Enayet Ullah, Sujoy Kumar Joarder, Masanori Hamamura

“…Moreover, to improve bit error rate (BER), a combined MUI signal discrimination and ZF signal detection scheme is introduced, strengthened by various channel coding techniques with multi-user beamforming weighting. …”
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Highly Accelerated Dual-Pose Medical Image Registration via Improved Differential Evolution by Dibin Zhou, Fengyuan Xing, Wenhao Liu, Fuchang Liu

“…Extensive experimental results demonstrate that the proposed algorithm provides more accurate similarity metrics compared to conventional registration algorithms; the dual-pose registration strategy largely reduces errors in specific dimensions, resulting in reductions of 67.04% and 71.84%, respectively, in rotation and translation errors. …”
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Role of document management system for business processes optimization by I.V. Orlov

“…This integrated approach enhances organizational structure, optimizes processes, and bolsters security, leading to significant cost reductions and increased work efficiency. The model emphasizes the importance of streamlined and automated document workflows in reducing manual errors and operational bottlenecks. …”
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