Using the Kalman filter to integrate GPS and IMU data in noisy environments by Ye.B. Artamonov, A.K. Zhultynska, T.I. Zaloznyi, A.V. Radchenko, K.M. Radchenko

“…During the experiments, data on the real position and speed were collected and processed, which allowed us to evaluate the accuracy of the Kalman filter in different conditions and showed a significant reduction in the position error.…”
Get full text

Data-Driven Pavement Performance: Machine Learning-Based Predictive Models by Mohammad Fahad, Nurullah Bektas

“…Results indicate that LightGBM and CatBoost outperform other models, achieving the lowest mean squared error and highest R² values. In contrast, linear regression and KNN demonstrated the lowest performance, with MSE values up to 188% higher than CatBoost. …”
Get full text

Stream Nutrient Load and Concentration Estimation From Minimal Measurements by Wasif Bin Mamoon, Kun Zhang, Mitul Luhar, Anthony J. Parolari

“…DSS leverages dimension‐reduction to identify basis functions that optimally represent available data, and analyzes these basis functions to identify optimal times and locations for future measurements. …”
Get full text

Measurement of ferromagnetic pipe wall thickness by magnetic flux leakage method by A.E. Goldstein, K.A. Stryapchev

“…The method considers the distance between the pipe edge and the measurement plane of the magnetic field strength thereby enabling a 10-fold reduction in the error of the wall thickness measurement induced by the edge effect. …”
Get full text

Augmentation of Semantic Processes for Deep Learning Applications by Maximilian Hoffmann, Lukas Malburg, Ralph Bergmann

“…The results indicate a large potential with a reduction of the prediction error of up to 53%.…”
Get full text

Optimization Design of Dynamic Cable Configuration Considering Thermo-Mechanical Coupling Effects by Ying Li, Guanggen Zou, Suchun Yang, Dongsheng Qiao, Bin Wang

“…The framework employs a Radial Basis Function (RBF) surrogate model coupled with NSGA-II algorithm, yielding validated Pareto solutions (≤6.15% max error vs. simulations). Results demonstrate universal reduction in extreme responses across optimized configurations, with the thermo-mechanically optimized solution achieving 20.24% fatigue life enhancement. …”
Get full text

Stability Study of Multicomponent Mixtures to Support Carbon Metrology by Dias Florbela A., Palma Cristina, Costa Carlos J.

“…The stability study was conducted over one year, employing statistical evaluation using the Normalized Error (En) function in accordance with the international standard ISO 13528:2022 for statistical methods.…”
Get full text

OT-PCA: New Key-Recovery Plaintext-Checking Oracle Based Side-Channel Attacks on HQC with Offline Templates by Haiyue Dong, Qian Guo

“…Our method addresses critical challenges in optimizing key-related information extraction, including maximizing decryption output entropy and ensuring error pattern independence, through the use of genetic-style algorithms. …”
Get full text

Bayesian Uncertainty Quantification of Reflooding Model With PSO–Kriging and PCA Approach by Ziyue Zhang, Dong Li, Nianfeng Wang, Meng Lei

“…To improve the process of best estimate plus uncertainty (BEPU) for nuclear safety assessment and calibration of thermal–hydraulic models for error reduction, inverse uncertainty quantification (IUQ) is proposed in recent years to quantify the uncertainty of model parameters in reactor program. …”
Get full text

Fuzzy logic-based simulation of a weighted integrated GNSS receiver for mitigating blocking interference effects by K. Bahmani, M.R. Mosavi, A. Sadr

“…Specifically, an average improvement of 36.50% in Root Mean Square (RMS) error and a 31.10% reduction in Geometric Dilution of Precision (GDOP) have been observed compared to the Least Squares (LS) method.…”
Get full text

Robotic Process Automation-Based Functional Test Automation of High-Speed Analog-to-Digital Converter Customer Evaluation Boards by Ace Dominic Alcid, Glenn Magwili

“…However, the evaluation boards are normally tested manually, and manual testing methods have challenges in terms of time efficiency, human error, and scalability. Therefore, we formulated an automated testing system based on robotic process automation (RPA) to address the issues. …”
Get full text

Load-Sharing Characteristics of Power-Split Transmission System Based on Deformation Compatibility and Loaded Tooth Contact Analysis by Hao Dong, Ling-ling Duan, Jun-an Zhang, Zhou Fang

“…Finally, the load-sharing coefficient of the power-split transmission system is obtained, and the influences of the installation errors are analyzed. The results show that the above-mentioned installation errors comprehensively influence the load-sharing characteristics, and the reduction of only one error could not effectively achieve perfect load-sharing characteristics. …”
Get full text

Generalized Sampling Theory in the Quaternion Domain: A Fractional Fourier Approach by Muhammad Adnan Samad, Yuanqing Xia, Nader Al-Rashidi, Saima Siddiqui, Muhammad Younus Bhat, Huda M. Alshanbari

“…We illustrate the practical utility of the QFRFT-based GSE framework with a case study on signal denoising, demonstrating its effectiveness in noise reduction with the Mean Squared Error (MSE), highlighting the improvement in signal restoration.…”
Get full text

Framework for Addressing Imbalanced Data in Aviation with Federated Learning by Igor Kabashkin

“…The framework is validated through extensive experiments involving multiple aviation stakeholders, demonstrating a 23% improvement in fault detection accuracy and a 17% reduction in remaining useful life prediction error compared to conventional models. …”
Get full text

Modeling Bus Passenger Flow Dynamics Using the Cell Transmission Model for Real-Time Congestion Management by Ala Alobeidyeen

“…Numerical experiments on Gainesville’s RTS network demonstrate the model’s accuracy in predicting passenger distributions, achieving a 4% mean absolute percentage error (MAPE) during peak hours (6:30–9:45 a.m.) and successfully identifying bottlenecks where densities exceed 85% of capacity. …”
Get full text

Use of granular computing for resource optimization in IoT networks by Jaime Govea, Rommel Gutierrez, William Villegas-Ch

“…Comparative experiments against heuristic and AI-based baselines revealed statistically significant improvements: a 25% increase in processing throughput, a 20% reduction in energy consumption, and a 60% decrease in error rate. …”
Get full text

Denoising of Images using Wavelet Transform by M. Koteswara Rao, G. Chandra Reddy, K. V. Rama Rao

“…Performance is benchmarked against SCAD, Soft thresholding, and Wiener filter methods using Root Mean Square Error (RMSE) and Peak Signal-to-Noise Ratio (PSNR) metrics. …”
Get full text

The impact of energy and non-energy subsidies on rural and urban poverty levels in Indonesia by Iwan Harsono, Ade Paranata, Ihsan Ro’is, Wahyunadi, Muhammad Irwan, Subhan Purwadinata

“…The VECM estimation results for rural poverty in all models are negative and significant, indicating that the error correction adjustment in the long run is quickly. …”
Get full text

Improved EEMD Denoising Method Based on Singular Value Decomposition for the Chaotic Signal by Xiulei Wei, Ruilin Lin, Shuyong Liu, Chunhui Zhang

“…Secondly, the remaining IMFs are divided into high frequency and low frequency components based on consecutive mean square error (CMSE), and the useful signals of high frequency components and low frequency components are extracted based on SVD and SG filtering method, respectively. …”
Get full text

Modeling the influence of streamwise flow field acceleration on the aerodynamic performance of an actuator disk by C. P. Zengler, N. Troldborg, M. Gaunaa

“…The new model accurately captures this behavior and significantly reduces the prediction error compared to classical momentum theory, where the effect of the background flow acceleration is disregarded. …”
Get full text