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

“…A marked improvement in test time efficiency was observed, with a reduction of up to 69.68% for inexperienced operators and 41.4% for experienced ones. …”
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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. …”
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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. …”
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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. …”
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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. …”
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Improved EEMD Denoising Method Based on Singular Value Decomposition for the Chaotic Signal by Xiulei Wei, Ruilin Lin, Shuyong Liu, Chunhui Zhang

“…The chaotic vibration is extremely nonlinear and has a broad range of frequencies; linear filtering methods are not effective for chaotic signal noise reduction. Then an improved ensemble empirical mode decomposition (EEMD) based on singular value decomposition (SVD) and Savitzky-Golay (SG) filtering method was proposed. …”
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A high-accuracy exponential time integration scheme for the Darcy–Forchheimer Williamson fluid flow with temperature-dependent conductivity by Arif Muhammad Shoaib

“…Quantitative validation demonstrates that the scheme achieves second-order accuracy in time and sixth-order convergence in space, with a reduction in error norm of up to 18% compared to the classical second-order Runge–Kutta method. …”
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Research on the Synchronization Control Strategy of Regenerative Braking of Distributed Drive Electric Vehicles by Ren He, Yukun Xie

“…To solve the problem of asynchronous speed between the coaxial in-wheel motors of distributed drive electric vehicle caused by changes in the road surface, load, and other factors during the regenerative braking of the vehicle, which may result in a yaw motion of the vehicle and a reduction in vehicle stability, a synchronization control strategy of regenerative braking for distributed drive electric vehicles is proposed. …”
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Risk assessment and «Safety culture» lifting devices by Prusov A.Yu.

“…The hazardous situation and the likelihood of operator error in the slinging of cargo. The practical example of reduction of risk of operation of the load gripping device for the purpose of increase of safety at its use is considered. …”
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Quantum Merlin-Arthur proof systems for synthesizing quantum states by Hugo Delavenne, François Le Gall, Yupan Liu, Masayuki Miyamoto

“…Our main result consists of error reduction of this class and its variants with an exponentially small gap or bounded space, as well as how this class relates to other fundamental state synthesizing classes, i.e., states generated by uniform polynomial-time quantum circuits ($\sf{stateBQP}$) and space-uniform polynomial-space quantum circuits ($\sf{statePSPACE}$). …”
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Graph Neural Networks for Pressure Estimation in Water Distribution Systems by Huy Truong, Andrés Tello, Alexander Lazovik, Victoria Degeler

“…Our model surpasses the performance of previous studies on several WDNs benchmarks, showing a reduction of absolute error of ≈40% on average.…”
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Research on the Effect of Data Assimilation for Three‐Dimensional MHD Simulation of Solar Wind by Hanke Zhang, Fang Shen, Yi Yang

“…Statistical analysis of observed, modeled and assimilated solar wind parameters at 1 AU reveals that assimilating simulations provide a more accurate forecast than the model‐only results with a sharp reduction in the root mean square error and an increase of correlation coefficient.…”
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A Coupled Torsional-Transition Nonlinear Vibration and Dynamic Model of a Two-Stage Helical Gearbox Reducer for Electric Vehicles by Abdulhameed M. Y. Al-Tayari, Siyu Chen, Zhou Sun

“…A coupled torsional-transition nonlinear dynamic model of a two-stage helical gear (TSHG) reduction system for electric vehicles (EVs) is presented in this paper. …”
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