Research on intelligent detection method of new energy vehicle power battery based on improved ViBe algorithm by Lei Gu

“…Results: The battery management system prototype exhibits an absolute measurement error within -1.2 mV compared to the high-precision multimeter. …”
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Domestic public diplomacy as a communications strategy. Analysis of the Spanish case by Israel Doncel-Martín, Carlos Elías

“…In this case we have applied it to Spain, but the conclusions can be extrapolated to other countries. …”
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Determination of coordinates of the earthquake hypocenter by the method of circles by G. K. Aslanov, T. G. Aslanov

“…A method has been developed for determining the coordinates of an earthquake source using different shapes of the second and fourth orders for different pairs of seismic sensors.Conclusion. The method allows one to select one of the second or fourth order figures for different pairs of seismic sensors, which makes it possible to reduce the error in determining the source coordinates.…”
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Análisis del impacto de la cooperación en ciencia y tecnología entre América del Norte y la Unión Europea. Paralelismos entre Hungría y México by Edit Antal Fodroczy

“…En el caso de Hungría, que incluso recibe una cantidad de recursos de la Unión Europea, se observa un retroceso en c + t. Se llega a la conclusión de que, entre otros elementos, se trata de factores internos en cada país, errores y carencias de la política económica, la educación y la migración de mano de obra calificada.  …”
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The Impact of Evidence on the Difference of Critics in Tarjeeh between Narratives and Their Ilal | أثر القرائن في اختلاف النقاد في الترجيح بين الروايات وإعلالها... by Abdelrhman Mohammad Mashagba

“…This research is divided into different topics including an introduction, and four main topics than a conclusion that explains the results of this research. …”
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Critical flicker frequency measurement training by V. V. Rozhentsov

“…In the quasi-stationary mode we were performed a specified number of measurements and then calculated the CFF estimate as the mean value of test results obtained in the quasi-stationary mode.Results: Reducing the random component of the CFF measurement error of study group of 10 pre-trained subjects was received in 8 of them and varies from 31.3 to 78.6 %.Conclusion: Analyzing the dynamics of CFF values obtained during its measurement and performing a statistical analysis of the measurements obtained in the quasi-stationary mode, we can improve the accuracy of CFF estimate.…”
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Tensile Strength Prediction of Empty Palm Oil Bunch Fiber Composite with Artificial Neural Network by Hery Tri Waloyo, Agus Mujianto, Richie Feriyanto

“…In conclusion, ANN Backpropagation is superior in prediction accuracy and characterization efficiency of EFB fiber-reinforced composites, offering an economical solution and supporting sustainable palm oil waste management.…”
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Development of a certified reference material for the physical properties of the soil clay (loam) by I. N. Matveeva, V. V. Tolmachev

“…The bounds of absolute error of the certified values are as follows: 1.9 % for moisture content at the liquid limit via the fall-cone test, 1.5 % for moisture content at the plastic limit, 0.03 g/cm3 for soil particle density. …”
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Age assessment at the time of death based on panoramic radiography by Đurić Marija, Rakočević Zoran, Ranković Nenad

“…With the four parameters included in equations, the error was ± 2.55 years. Conclusion. This preliminary analysis showed that the conventional regression technique could be appropriate for the age estimation based on panoramic radiography, and that an additional study with a larger sample and on wider population was required.…”
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Modelling Indoor Environmental Conditions in a Commercial Broiler House by Erdem Küçüktopcu, Bilal Cemek

“…The results showed a good agreement between simulated and measured values as obtained NMSE values were less than 0.25. In conclusion, CFD simulation can be used as an alternative method for the analysis of poultry house indoor environment. …”
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Comparisons between Resampling Techniques in Linear Regression: A Simulation Study by Anwar Fitrianto, Punitha Linganathan

“…If the assumptions are not fulfilled, the conclusion is questionable. Resampling is one of the ways to avoid such problems. …”
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Use of Neuro-Net Modeling for Forecasting Key Finance Figures at Trade Enterprises by A. R. Baghirzade

“…All models demonstrated high accuracy of approximation (mean error is less that 0.01%) and the best results were reached by the two-layer net (6 and 8 neurons in concealed layers). …”
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Relationship between Strategic Management of Human Resources and the Culture of Organizational Fallibility with the Mediating Role of Information Technology by Mojdeh Mirzayi, Monika Motaghi

“…It is possible to improve the organization's performance by increasing the culture of error tolerance and its positive impact on the strategic management of human resources.…”
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Quantitative Evaluation of Temporal Regularizers in Compressed Sensing Dynamic Contrast Enhanced MRI of the Breast by Dong Wang, Lori R. Arlinghaus, Thomas E. Yankeelov, Xiaoping Yang, David S. Smith

“…Conclusion. TV/TGVα2 should be used as temporal constraints for CS DCE-MRI of the breast.…”
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Effects of Different Numbers of Trials on Saccadometry Test Results by Aysenur Kucuk Ceyhan, Asya Fatma Men, Zahra Polat

“…The prosaccades, mean latency, velocity, directional error, and overall error (Wilcoxon signed ranks test; p > 0.05) and mean accuracy (paired samples t‐test; p > 0.05) did not differ between 100 and 60 trials. …”
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Non-line-of-sight Visible Light Positioning System based on Deep Learning by HUANG Weijie, LIN Bangjiang, DING Yongqi, LUO Jiabin, HUANG Tianming

“…The experimental results show that under NLOS paths, the system's 3D mean error and Root Mean Square Error (RMSE) are 16.09 and 17.18 cm, respectively. …”
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Recurrent neural network consisting of FitzHugh–Nagumo systems: characteristics required for training by Semenova, Nadezhda Igorevna

“…In the process of research, it was found that the use of standard recurrent network training characteristics such as mean squared error or mean absolute error was not applicable to this task, so an alternative method for computing the loss function was proposed. …”
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Comparison of the prediction effects of LSTM, SARIMA and SARIMAX models on the incidence of hand, foot, and mouth disease by ZHANG Xiaoqiao, ZHANG Xiaodie, ZHAO Zhenxi, XIE Pengliu, DAI Min

“…The prediction performance of the three models was compared using mean squared error (MSE), root mean squared error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE). …”
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Machine Learning Approach and Model for Predicting Proton Stopping Power Ratio and Other Parameters Using Computed Tomography Images by Charles Ekene Chika

“…Conclusion: The proposed method proves to be more flexible and robust among all presented methods since it has lower testing error in most cases and can be improved based on data using the machine learning algorithm. …”
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Experimental and numerical analysis of ultimate strengths of long-span double-deck plate frame structures in ships under compressive load by Xuan LIU, Xiangshao KONG, Zhuo WANG, Chongxi XU, Weiguo WU

“…Further analysis reveals that eccentric compression has a significant impact on the failure mode and the ultimate load-carrying capacity of the structure. ConclusionIn conclusion, it is crucial to account for the effect of eccentric compression in practical simulations of long-span double-deck plate frame structures. …”
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