Study on the water pressure distribution characteristics of tunnel lining and pressure-reducing capability of by Xinpeng CHEN, Chaoyi WANG, Feng LU, Linlong LI, Feilong ZHAO, Cheng XIONG, Chongjun LUO, Kaimeng MA

“…The maximum prediction error is 8.25%, indicating a high level of accuracy. …”
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Machine-learning based high-bandwidth magnetic sensing by Galya Haim, Stefano Martina, John Howell, Nir Bar-Gill, Filippo Caruso

“…Our results indicate a potential reduction of required data points by at least a factor of 3, while maintaining the current error level. …”
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Simulation of urban flooding using 3D computational fluid dynamics with turbulence model by Muhammad Waqar Saleem, Muhammad Rashid, Sajjad Haider, Mohiq Khalid, Amro Elfeki

“…Sensitivity Analysis (SA) indicated that increasing grid coarseness from 1.7 million to 0.1 million cells raised the Root Mean Square Error (RMSE) by 15 %. This Research also assessed different mesh treatments for building incorporation in the computational mesh-building hole (BH) and Building Block (BB). …”
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A Predictive Model of the Position of Plasmapause Based on Lunar Phase and Deep Learning Framework by Yajun Li, Chao Xiao, Quanqi Shi, Hongtao Huang, Huizi Wang, Anmin Tian, Die Duan, Ganming Ren, Tao Tang, Yang Lin, Chenghao Li, Jiajia Suo

“…Our LP‐coupled models achieved a 15% reduction in root mean square error compared to prior artificial neural network models and outperforms empirical benchmarks (e.g., new solar wind‐driven global dynamic plasmapause model), with optimal performance in the dusk sector (18–24 magnetic local time) where lunar tidal effects peak. …”
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Optimization Design and Experimental Analysis of Resistance-Reducing Anti-Fracture Rotary Blade Based on DEM Techniques by Xiaochuan Zhao, Zhikai Ma, Jianguo Zhao, Jianchang Li, Jiale Zhao, Binhao Dai, Meilin An, Jiaping Wang, Jianjun Hao

“…The comparison between field trial results and simulation data showed an error rate (<5%), confirming the simulation test’s feasibility. …”
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Automated Fixed-Point Precision Optimization for FPGA Synthesis by Ines Winandy, Arnaud Dion, Florent Manni, Pierre-Loic Garoche, Dorra Ben Khalifa, Matthieu Martel

“…The distinguishing feature of our technique lies in its formal approach to error analysis: it systematically propagates numerical errors through computations to infer variable-specific fixed-point formats that guarantee user-specified accuracy bounds. …”
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Advanced AI techniques for classifying Alzheimer’s disease and mild cognitive impairment by Sophie Tascedda, Sophie Tascedda, Sophie Tascedda, Pierfrancesco Sarti, Pierfrancesco Sarti, Veronica Rivi, Claudia Savia Guerrera, Giuseppe Alessio Platania, Mario Santagati, Filippo Caraci, Filippo Caraci, Johanna M. C. Blom, Johanna M. C. Blom

“…By deploying these advanced computational techniques, clinicians could see a reduction in diagnostic errors, facilitating earlier, more precise interventions, and likely to lead to significantly improved outcomes for patients.…”
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Preliminary results of the Pilot Project «Development of the Medical Rehabilitation System in the Russian Federation» in the city hospital № 26 (Saint Petersburg). Using «ICF reade... by A. A. Shmonin, M. N. Maltseva, V. V. Nikiforov, E. V. Melnikova, G. E. Ivanova, V. I. Dorofeev

“…We identified key issues and errors of ICF use in rehabilitation diagnosis. The article presents data on the frequency of using the different ICF domains in practice of rehabilitation. …”
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Feasibility, Advantages, and Limitations of Machine Learning for Identifying Spilled Oil in Offshore Conditions by Seong-Il Kang, Cheol Huh, Choong-Ki Kim, Meang-Ik Cho, Hyuek-Jin Choi

“…A 10% of inherent error reduced the accuracy of the HGB model to 60%. …”
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Experimental investigation and optimization of epoxy composites reinforced with jute fiber and alumina using the Jaya ANFIS approach by Lakshmi Narayana Somsole, P. Thejasree, K. L. Narasimhamu, Manikandan Natarajan, G. Velmurugan, Dinesh Ramesh Salunke, Vinod P. Sakhare, Pramod Kumar, Regasa Yadeta Sembeta

“…Abstract Composites reinforced with natural fibers are increasingly progressively in diverse engineering practices for their remarkable attributes, including weight reduction, high strength, cost-efficiency, biodegradability, and renewability. …”
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Flood Classification and Improved Loss Function by Combining Deep Learning Models to Improve Water Level Prediction in a Small Mountain Watershed by Rukai Wang, Ximin Yuan, Fuchang Tian, Minghui Liu, Xiujie Wang, Xiaobin Li, Minrui Wu

“…The optimized loss function further improves the prediction performance, resulting in a significant improvement in the accuracy of flood peak prediction, with a reduction of 0.26% in the relative error of the peak prediction by the GWN model. …”
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Maintenance of the Results of Stage II Lower Limb Lymphedema Treatment after Normalization of Leg Size by Jose Maria Pereira de Godoy, Henrique Jose Pereira de Godoy, Renata Lopes Pinto, Fernando Nestor Facio, Maria de Fatima Guerreiro Godoy

“…The Friedman test for multiple comparisons and Conover post hoc test were used for statistical analysis with an alpha error of 5%. Results. On comparing leg volume changes using the different types of stockings, the 20/30 mmHg elastic compression stockings failed in the first week to maintain the volume reductions but the 30/40 mmHg compression stockings did not allow significant increases in volume (p value > 0.05). …”
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An adaptive sliding mode fault-tolerant control of variable speed reaching law for steer-by-wire systems by Jinwen Yang, Yinquan Yu, Dequan Zeng, Yiming Hu, Junhui Liu, Kai Liu, Giuseppe Carbone, Shaohua Luo, Xiaofeng Zhu

“…The example information demonstrates that the proposed method reduces the root mean square (RMS) of tracking error by nearly 40% in three typical conditions compared to adaptive fault-tolerant control methods (ASMFTC), and the disturbances of the controller are relatively slighter. …”
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A Novel Energy-Aware Approach for Locating Leaks in Water Pipeline Using a Wireless Sensor Network and Noisy Pressure Sensor Data by Muhammad Mysorewala, Muhammad Sabih, Lahouari Cheded, Mohammad Tariq Nasir, Muhammad Ismail

“…Using the DD strategy only, a noisy environment, and a small number of sensors, the performance of our scheme shows that, for small leak sizes, the estimation error in both leak location and size becomes unacceptably high. …”
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Temperature Compensation Method for Tunnel Magnetoresistance Micro-Magnetic Sensors Through Reference Magnetic Field by Tao Kuai, Qingfa Du, Jiafei Hu, Shilong Shi, Peisen Li, Dixiang Chen, Mengchun Pan

“…Additionally, the repeatability of sensitivity temperature characteristic curves was enhanced, with a reduction in root mean square error from 0.84 to 0.21. …”
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A High-Precision Real-Time Temperature Acquisition Method Based on Magnetic Nanoparticles by Yuchang Zhu, Li Ke, Yijing Wei, Xiao Zheng

“…Compared with the opposition learning gray wolf optimizer and particle swarm optimization–gray wolf optimization, the proposed method achieves reductions of 52% and 68%, respectively. Additionally, under dual-frequency superimposed magnetic field excitation, a higher temperature inversion accuracy is achieved compared with that of the particle swarm optimization–gray wolf optimization algorithm, reducing the error from 0.237 K to 0.094 K.…”
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Structural Equation Modeling Approaches to Estimating Score Dependability Within Generalizability Theory-Based Univariate, Multivariate, and Bifactor Designs by Walter P. Vispoel, Hyeryung Lee, Tingting Chen

“…Although general-factor effects were dominant, subscale viability was supported in all cases, with transient measurement error leading to the greatest reductions in score accuracy. …”
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Immunological aspects of the lethal HIV / COVID-19 coinfected cohort by A. I. Mazus, E. V. Tsyganova, A. S. Zhilenkova, N. V. Glukhoedova, M. D. Geyne, Yu. A. Anikina, Yu. G. Parkhomenko, N. V. Mozgaleva, P. A. Vedyapin, O. A. Tishkevich

“…Statistical data processing was provided by SPSS 17 version (allowable error E = 5 %).   Results and discussion. The study demonstrated CD4+ and CD8+ reduction in HIV-infected with COVID-19. …”
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Quadrature-Phase-Locked-Loop-Based Back-Electromotive Force Observer for Sensorless Brushless DC Motor Drive Control in Solar-Powered Electric Vehicles by Biswajit Saha, Aryadip Sen, Bhim Singh, Kumar Mahtani, José A. Sánchez-Fernández

“…The experimental results demonstrate a significant reduction in commutation error, with a nearly flat value at 0 degrees during steady-state and less than 8 degrees under dynamic conditions. …”
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A Multi-Task Spatiotemporal Graph Neural Network for Transient Stability and State Prediction in Power Systems by Shuaibo Wang, Xinyuan Xiang, Jie Zhang, Zhuohang Liang, Shufang Li, Peilin Zhong, Jie Zeng, Chenguang Wang

“…Experimental results on IEEE standard test systems and real-world power grids demonstrate the framework’s superiority as compared to state-of-the-art AI models, achieving a 48.1% reduction in prediction error, a 6.3% improvement in the classification F1 score, and a 52.1% decrease in inference time, offering a robust solution for modern power system monitoring and safety assessments.…”
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