Assessing the Application Effects and Operating Conditions on Three Different Insulation Capacity Walls Using Internal Quantitative Infrared Thermography in China by Huanyu Li, Guohui Feng, Yi Pu, Han Wang

“…For uninsulated buildings, a temperature difference of 10 °C between indoor and outdoor environments is sufficient to meet testing requirements, with a testing error of only 2.28%. For conventionally insulated buildings, a temperature difference greater than 20 °C reduces the relative error to below 10%. …”
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Application of Special Calculation Techniques in the Design of All-Welded Gastight Structures of Boiler Units by M. P. Kurepin, M. Yu. Serbinovskiy

“…For specially reinforced membrane walls with steps exceeding the permissible values, the error reduction reached 70% or higher.Discussion and Conclusion. …”
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STL-DCSInformer-ETS: A Hybrid Model for Medium- and Long-Term Sales Forecasting of Fast-Moving Consumer Goods by Yecheng Ma, Lili He, Junhong Zheng

“…Through numerical experiments, the method demonstrates excellent performance by achieving a 35.9% reduction in Mean Squared Error and a 21.4% decrease in Mean Absolute Percentage Error, significantly outperforming traditional methods. …”
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Data driven tensile strength prediction for fiber-reinforced rubberized recycled aggregate concrete using machine learning by Avijit Pal, Khondaker Sakil Ahmed, Nur Yazdani

“…The findings showed that K-Nearest Neighbors performed best in predicting FR3C tensile strength, achieving the lowest mean absolute error MAE (0.001) and root mean squared error (RMSE 0.001) and highest coefficient of determination (R2 = 0.999) in test scores. …”
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An Efficient SM9 Aggregate Signature Scheme for IoV Based on FPGA by Bolin Zhang, Bin Li, Jiaxin Zhang, Yuanxin Wei, Yunfei Yan, Heru Han, Qinglei Zhou

“…Therefore, the proposed scheme demonstrates significant advantages in both error-free and fault-tolerant scenarios.…”
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Application of intelligence models based on soft computing in investigating the discharge coefficient of the sluice gate under free-flow condition and symmetrical sill with the hel... by H.R. Abbaszadeh, Y. Hassanzadeh, R. Daneshfaraz, R. Norouzi

“…The results of the correlation coefficient (R), Root Mean Square Error (RMSE), mean percentage Relative Error (MRE%), and Kling Gupta Efficiency (KGE) in the test stage for the SVM model were 0.96, 0.018, 0.90, and 1.92%, respectively. …”
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Automated Seedling Contour Determination and Segmentation Using Support Vector Machine and Image Features by Samsuzzaman, Md Nasim Reza, Sumaiya Islam, Kyu-Ho Lee, Md Asrakul Haque, Md Razob Ali, Yeon Jin Cho, Dong Hee Noh, Sun-Ok Chung

“…These errors can affect the accuracy of detecting phenotypic traits, like shape, size, and width. …”
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The Impact of Visual Perturbation Neuromuscular Training on Landing Mechanics and Neural Activity: A Pilot Study by Timothy R Wohl, Cody R Criss, Adam L Haggerty, Justin L Rush, Janet E Simon, Dustin R Grooms

“… # Results Following VPNT, LESS scores decreased by 1.5 ± 1.69 errors with a large effect size (0.78), indicating improved mechanics, and reductions in BOLD signal were observed in two clusters: 1) left supramarginal gyrus, inferior parietal lobule, secondary somatosensory cortex (p=.012, z=4.5); 2) right superior frontal gyrus, supplementary motor cortex (p<.01, z=5.3). …”
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Impact assessment of integrated-pathy on anthropometric, physiological, biochemical, and psychological parameters on type 2 diabetes mellitus patients: A single-arm, observational... by Akshay Vashisht, Medha Bhatt, Vedpriya Arya

“…By the end of 45th day a 4.7% reduction in HbA1c levels (p = 0.003), a 9.44% reduction in postprandial glucose (p = 0.46), and a 10.9% reduction in fasting glucose were noted. …”
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Suppression and control of unbalanced and misalignment coupler vibration of a double-rotor permanent magnet drive by Yongcun GUO, Xin MA, Shuang WANG, Deyong LI, Tun YANG

“…In order to effectively suppress vibration, an adaptive factor σ based on the error value and a regularized weight attenuation factor λ are innovatively introduced to quickly respond to system changes and reduce the error. …”
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Low-Power and High-Performance Double-Node-Upset-Tolerant Latch Using Input-Splitting C-Element by Qi Chen, Binyu He, Renjie Kong, Pengjia Qi, Yanyun Dai

“…As essential components of digital circuits within sensor systems, nanoscale CMOS latches are particularly susceptible to single-node upsets (SNUs) and double-node upsets (DNUs), which can lead to data errors. In this paper, a highly robust Double-Node-Upset-Tolerant Latch-Based on Input Splitting C-Elements (DNUISC) is proposed. …”
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Assessment and Prediction of Typhoon-Related Direct Economic Loss in Fujian Province Based on LightGBM by Zhang Zhixia, Yang Jian, Chen Sixiao, Lin Sen

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The Contribution to Understanding the Study of Psycholinguistics in Facilitating Balaghah Learning by Sokip Sokip, Ahmad Nurcholis, Kojin Kojin, Muhammad Zaenal Faizin, Abu Hanifa

“…This article showed that the important role of psycholinguistics in balaghah learning was to examine the background of the problem from errors in understanding the meaning of language and the steps for handling it (problem solving). …”
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Context-Aware Dual-Task Deep Network for Concurrent Bone Segmentation and Clinical Assessment to Enhance Shoulder Arthroplasty Preoperative planning by Luca Marsilio, Andrea Moglia, Alfonso Manzotti, Pietro Cerveri

“…It achieved median root mean squared errors of 0.31 and 0.24 mm, and Hausdorff distances of 2.35 and 3.28 mm for the humerus and scapula, respectively. …”
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Towards Improved Turbomachinery Measurements: A Comprehensive Analysis of Gaussian Process Modeling for a Data-Driven Bayesian Hybrid Measurement Technique by Gonçalo G. Cruz, Xavier Ottavy, Fabrizio Fontaneto

“…The Baseline GP demonstrates robust accuracy, while the integration of CFD data in CFD into Experiments GP introduces complexities and more errors. The Multi-Fidelity GP, leveraging both CFD and experimental data, emerges as a promising solution, exhibiting enhanced accuracy in critical flow features. …”
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Identification of Distribution Network Topology and Line Parameter Based on Smart Meter Measurements by Chong Wang, Zheng Lou, Ming Li, Chaoyang Zhu, Dongsheng Jing

“…Finally, a simulation analysis based on IEEE 33- and 118-bus distribution systems demonstrated that the proposed method can effectively realize the estimation of topology and line parameters, and is robust with regard to both measurement errors and grid structures.…”
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Collaborative AI Dysarthric Speech Recognition System With Data Augmentation Using Generative Adversarial Neural Network by Yibo He, Kah Phooi Seng, Li-Minn Ang

“…Experiments conducted on the UASpeech corpus demonstrate a significant reduction in the word error rate (WER) compared to the baseline approach. …”
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Study on the effect of underlying surface changes on runoff generation in the urbanized watershed by Yunqiu Jiang, Lichun Wang, Tianning Xie, Runxi Li, Kejia Wen, Chengshuai Liu, Caihong Hu

“…The study reveals that: (a) the average relative error of the runoff generation calculation by GRGM model in the study area is reduced by 27.76% and the average coefficient of determination is increased by 0.11 compared with Horton Infiltration (HI) model, which means GRGM model are more accurate. …”
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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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Partial Differential Equations-Based Iterative Denoising Algorithm for Movie Images by Pingli Sun, Chenxia Wang, Min Li, Lanqi Liu

“…Film video noise can usually be defined as the error information visible on the video image, caused by the digital signal system. …”
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