A Hybrid Smoothed Finite Element Method for Predicting the Sound Field in the Enclosure with High Wave Numbers by Haitao Wang, Xiangyang Zeng, Ye Lei

“…Wave-based methods for acoustic simulations within enclosures suffer the numerical dispersion and then usually have evident dispersion error for problems with high wave numbers. …”
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Online Trajectory Regeneration for Multirotors via a Proportional-Derivative Physics-Informed Neural Network by Mana Ghanifar, Amir Ali Nikkhah, Milad Kamzan, Mohammad Teshnehlab, Morteza Tayefi

“…Results show that PD-PINN reduces the total three-dimensional root mean square error from 0.7178 meters to 0.1352 meters, an 81.2% improvement over classical methods. …”
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Design of an Iterative Method for Time Series Forecasting Using Temporal Attention and Hybrid Deep Learning Architectures by Yuvaraja Boddu, A. Manimaran

“…Initially, it employs Temporal Attention Mechanisms to dynamically allocate attention across different timestamps and variables, significantly enhancing the model’s ability to capture critical temporal dependencies. This method improves the focus on relevant information and achieves a 10% average reduction in mean absolute error (MAE) compared to models devoid of such mechanisms. …”
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Construction of a Surface Roughness and Burr Size Prediction Model Through the Ensemble Learning Regression Method by Ali Khosrozadeh, Seyed Ali Niknam, Fatemeh Hajizadeh

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Rapid analysis of temperature fields in electronic enclosures based on the finite difference thermal resistance network method by Xiaoyue Zhang, Yinmo Xie, Bing Liu, Yingze Meng, Kewei Sun, Guangsheng Wu, Jianyu Tan

“…The results indicate that this model not only accurately represents the temperature field but also controls the maximum relative error within 5 %, achieving a 99.67 % reduction in calculation time. …”
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Theoretical analysis of the forming process of closed die forging with flash and optimization design method of flash gutter by Xiang Zhang, Volodymyr Borysevych

“…After verification and correction, the error in the optimized mathematical model did not exceed 10 %, and the flash amount was significantly reduced. …”
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Electrical Fault Diagnosis Method for Tunneling Equipment Based on Fault Simulation and Optimized Particle Swarm Algorithm by Huan Zou, Xueping Zhang, Xin Wang, Yu Li

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Earthwork Network Architecture (ENA): Research for Earthwork Quantity Estimation Method Improvement with Large Language Model by Taewook Kang, Kyubyung Kang

“…Accurate earthwork quantity estimation is essential for effective project planning and cost management in the Architecture, Engineering, and Construction (AEC) industry. Traditional methods for quantity takeoff are often time-consuming and susceptible to human error, particularly when working with unstructured datasets such as CAD drawings. …”
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Energy Consumption Prediction for Drilling Pumps Based on a Long Short-Term Memory Attention Method by Chengcheng Wang, Zhi Yan, Qifeng Li, Zhaopeng Zhu, Chengkai Zhang

“…In the context of carbon neutrality and emission reduction goals, energy consumption optimization in the oil and gas industry is crucial for reducing carbon emissions and improving energy efficiency. …”
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NSGT: A Plasma Position Prediction Method for the HL-2A Tokamak Device Based on Transformer by Ling Zhou, Bin Yang, Xiangcheng Lin, Kaihao Zhu, Ziran Lan, Xiangwen Li

“…The experimental results show that the NSGT model has a significant reduction in the root - mean - square error of prediction compared with the LSTM method, effectively supporting the real - time adjustment of the closed - loop control system. …”
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Improving pluvial flood simulations with a multi-source digital elevation model super-resolution method by Y. Zhu, Y. Zhu, P. Burlando, P. Y. Tan, C. Geiß, C. Geiß, S. Fatichi

“…Compared to conventional methods (e.g. bicubic interpolation), the simulation results demonstrated that our approach significantly improved the accuracy of flood simulations, with a reduction in the mean absolute error of floodwater depth of about 13.1 % and an increase in the intersection over union (IoU) for inundation area predictions of about 46 %. …”
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A novel adaptive multi-scale wavelet Galerkin method for solving fuzzy hybrid differential equations by V. Murugesh, M. Priyadharshini, Yogesh Kumar Sharma, Sultan Mesfer Aldossary, Shakti Kundu, Saksham Malik, Kedir Botamo Adem, Arshad Hashmi

“…The method utilises local error estimates to refine the solution domain, adapting to the solution characteristics: fine refinement is used in areas of steep gradients, discontinuities, and fuzzy transitions, while coarse refinement is used everywhere else. …”
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Research on non-destructive testing method for radial defect of anchor bolt based on longitudinal guided wave by Deying TANG, Weimin TANG, Zhiyi ZENG, Qing TIAN, Ailing LI, Yaling GUO, Erdi A’BI, Tongyu WU, Yibo WU

“…The Hilbert- Huang transform has obvious waveform characteristics in the analysis of non-defect anchorage bolt, but it is difficult to judge the defect information in the analysis of multi-defect anchorage bolt. The method based on empirical mode decomposition can identify the defect information of anchor bolt accurately, and the error of fault location identification is 5.3%.…”
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Correction of the Contribution of Scattered Photon Radiation to the Ionization Chamber Readings During X-Ray Radiation Quality Assessment by A. A. Zaharadniuk, K. G. Senkovsky, R. V. Lukashevich

“…Reduction of the systematic error when determining the characteristics of the reference X-ray radiation fields is an essential task according to the ISO 4037-1:2019 standard. …”
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Exploring Relations Between Methods of Assuring Quality, Certified Management Systems, Adoption of Technologies and Company Performance by Robertsone Galina, Lapins Eduards, Heilala Janne

“…Integrating advanced technological solutions into production management and control systems heralds a new era of enhanced efficiency and defect mitigation in manufacturing processes. A significant reduction in human errors marks this advancement and encompasses the adoption of technological and environmental innovations. …”
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Enhancing Joint Probability of Maxima Method Through ENSO Integration: A Case Study of Annapolis, Maryland by Paul F. Magoulick, Li P. Sung

“…The ENSO-JPMM demonstrates improved predictive accuracy across all phases, with root mean square error reductions of up to 5.96% during Neutral conditions and 3.56% during El Niño phases. …”
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The Application of the Cardiff Count-to-Ten Method for Fetal Well-Being Assessment in Oligohydramnios: A Case Report by Eny Dewi Pamungkas, Agustin Dwi Rachma Nisa, Delli Nurilah Sari, Ranum Muntazia, Erna Puspita Sari

“…Fetal movement monitoring is a subjective method performed by the mother. This becomes inaccurate because mothers who are too busy and do not concentrate on recording can report errors in fetal movement. …”
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Prevalence of adverse events in hip and knee arthroplasties following the implementation of surgical checklists by Josemar Batista, Elaine Drehmer de Almeida Cruz

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Heat and Mass Transfer Model of a Cross-flow Heat-source Tower based on the Ɛ-NTU Method by Jia Jikang, Li Nianping, Peng Jinqing, Zhang Nan, Cheng Jianlin, Cui Haijiao

“…The results showed that for the outlet temperature of a heat-source tower, the static relative error was controlled within 4%, and the dynamic relative error was less than 6%. …”
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А quantitative estimate of uncertainty of the random scattering of the average clearance and interference in mating by N. N. Chigrik

“…The main result of the study is related with ensuring the receipt for the assembly of an equal number of parts, to the conclusion possessing novelty of the analytical dependences of finding a quantitative estimate of the uncertainty of the random scattering of the average clearance and interference in the mating, the random scattering of the average size relative to the upper and lower acceptance boundaries. Using the assembly method proposed with the initial reduction of real clearances and interferences in the mating by means of narrowing the tolerances of the actual dimensions to the tolerance of the shape of real surfaces in diametric terms within the random dispersion of the average size relative to the upper and lower acceptance boundaries allows to ensure the receipt on the assembly of an equal number of parts is achieved, including in the tested batches of parts with a breakdown of the tolerances of the actual dimensions into an equal number of dimensional groups.…”
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