Finite Element Analysis of a Novel Temporary External Fixator (TEF) in Mandibular Reconstruction by Rungsan Chaiyachet, Surasith Piyasin, Weerayut Jina, Teerawat Paipongna, Apichart Boonma

“…This configuration achieved a 2.31% decrease in Maximum von Mises stress, and a 16.99% reduction in total deformation.…”
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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’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 proposed system demonstrated an impressive 8% increase in energy gain and a reduction of up to 11% in energy consumption compared to the traditional continuous tracker. …”
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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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Lifestyle Profile Scale for Gravida with Urinary Incontinence: scale development and psychometric testing in Chinese Mainland by Hongyan Wang, Ping Xu, Ping-ping Guo, Xiaojuan Wang, Minna Mao, Suwen Feng

“…The seven-factor model, which accounted for 63.667% of the total item variance, demonstrated a good fit with the data (χ2/df =1.672, root mean square error of approximation=0.053, goodness of fit=0.884).Conclusions The LPG-UI has sufficient validity and reliability for assessing the lifestyle status of pregnant women with UI.…”
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Research of Regenerative Braking Strategy for Electric Vehicles by Van Nghia Le, Hoang Phuc Dam, Trong Hoan Nguyen, S. V. Kharitonchik, V. A. Kusyak

“…An alternative control strategy of regenerative braking optimal efficiency as compared to the basic control strategy provides a reduction in braking distance by 13.2 % at increasing by 84.4 % the amount of energy generated by the electric motor for recharging the batteries. …”
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Study on Interfacial Interaction of Cement-Based Nanocomposite by Molecular Dynamic Analysis and an RVE Approach by A. K. Roopa, A. M. Hunashyal, Arun Y. Patil, Abhishek Kamadollishettar, Bharatkumar Patil, Manzoore Elahi M. Soudagar, Kiran Shahapurkar, T. M. Yunus Khan, M. A. Kalam

“…The experimental test results substantiate the analytical studies, and the error obtained from both approaches is less than 20%. …”
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The Automatable Activity–Based Approach to Complexity Unit Scoring as a task-specific model approach to monetizing outcomes of pathology artificial intelligence solutions by Stavros Pantelakos, Martha Nifora, Georgios Agrogiannis

“…Previous studies have attempted to extrapolate cost containment in conjunction with the implementation of digital pathology solutions mostly on the basis of operational cost savings or diagnostic error reduction. However, no study has attempted to link a wider spectrum of potential diagnostic tasks performed by artificial intelligence algorithms to financial figures. …”
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Prediction and Optimization of Civil Aviation Flight Delays Based on Machine Learning Algorithms by Qingwei Zhong, Yingxue Yu, Yiru Huang, Tianhang Zhang

“…Based on the experimental data, FlightNet-ST achieves a 14.47% reduction in Mean Absolute Error (MAE). Additionally, an attention mechanism enhances interpretability by highlighting key aspects that influence delays, such as departure time blocks and airport-specific trends. …”
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Thermal Performance Study of Solar Air Dryers for Cashew Kernel: A Comparative Analysis and Modelling Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN) by Vivekanand B. Huddar, Abdul Razak, Erdem Cuce, Sudarshana Gadwal, Mamdooh Alwetaishi, Asif Afzal, C. Ahamed Saleel, Saboor Shaik

“…The experiments have revealed that the natural and forced convection solar dryers with drying speeds of 1.0 kg/h and 1.66 kg/h, respectively, showed drying efficiencies of 51.7% and 50.9%, which is within the permissible acceptable limit, thus ascertaining a moisture reduction of 40 to 42% in each of case and keeping the moisture content within the band of approximately 5%, required for effective peeling of the testa from the cashew kernel to obtain the final product. …”
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Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease. by Laura-Jayne Gardiner, Anna Paola Carrieri, Karen Bingham, Graeme Macluskie, David Bunton, Marian McNeil, Edward O Pyzer-Knapp

“…As a pharmacological measure of drug efficacy, we measured the reduction in the release of the inflammatory cytokine TNFα from the fresh IBD tissues in the presence/absence of test drugs. …”
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Design and testing of a RealSense-based variable spraying control system for field kale by Yahui Luo, Wen Li, Pin Jiang, Kaiwen Tang, Zhiluo Liang, Yixin Shi

“…The system was also tested for accuracy-responsive variable spraying in recognition detection tasks, with a 0.2% reduction in the central atomized deposition density coefficient of variation (CV) compared to constant spraying. …”
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Universal Vector Calibration for Orientation-Invariant 3D Sensor Data by Wonjoon Son, Lynn Choi

“…For indoor positioning, our vector calibration achieved an 83.6% reduction in mismatches between sampled magnetic vectors and magnetic field map vectors and reduced the LSTM-based positioning error from 31.14 m to 0.66 m. …”
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