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RATIONING OF FUEL CONSUMPTION WITH THE USE OF INFORMATION TECHNOLOGY
Published 2018-05-01“…However, the normalization of fuel consumption is difficult due to the high probability of errors by the manual calculation. Currently, there is no methodology for determining the correction factors for taking into account the existing operating conditions for the stock of vehicles.Materials and methods. …”
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12522
A Note on Increases in Inattentive Online Survey-Takers Since 2020
Published 2022-02-01“…Inattentive participants – respondents who incorrectly answer directed query attention check questions – may be introducing substantial measurement error and attenuation bias. Using data from 152,967 survey respondents across multiple studies conducted between January 2020 and June 2021, we find that inattentive respondents report less reliable demographic data, less stable responses, and are systematically different from attentive respondents. …”
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Healthcare workers' priorities of WHO snakebite strategic objectives for the control and prevention of snakebite envenoming in Ghana: A machine learning statistical design of exper...
Published 2025-07-01“…To compare the performance of these models, we used several key metrics, including Akaike Information Criterion corrected (AICc), the Bayesian Information Criterion (BIC), the Root Average Squared Error (RASE), negative log-likelihood, and the total time taken to fit each model.…”
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PREDICTION OF VERTICAL IMPACTION OF LOWER WISDOM TOOTH ACCORDING ORTHOPANTOMOGRAPHY OF LOWER JAW
Published 2021-12-01“…Material and methods of research. The platforms of Google Scholar, Research Gate and PubMed are used for research and analysis of the scientific literature on the application of objective criteria of mandibular orthopantomography data in the prediction of vertical impaction of the third lower molars. …”
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Estimation of soil temperature for agricultural applications in South Africa using machine-learning methods
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12531
A high-resolution 20K SNP array for comprehensive genotyping and genetic mapping in Nicotiana tabacum L.
Published 2025-04-01“…Performance metrics demonstrated its robustness, with high SNP call rates (93.6%–99.8%), a low technical error rate (< 1%), and a superior PolyHighResolution SNP rate (79.79%) compared to other crop SNP arrays. …”
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Comparison of marker-less 2D image-based methods for infant pose estimation
Published 2025-04-01“…To determine which pose estimation method and camera angle yield the best pose estimation accuracy on infants in a GMA related setting, the error with respect to human annotations and the percentage of correct key-points (PCK) were computed and compared. …”
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Integration of physical information and reaction mechanism data for surrogate prediction model and multi-objective optimization of glycolic acid production
Published 2025-06-01“…After validating with 40% of experimental data and 16% of reaction mechanism data, the model's prediction error was within ±5%, and the linear correlation coefficient R2 between the predicted values and actual values was 0.998. …”
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Toward the Development of a Novel Flexible Sensor for Simultaneous Measurement of Acupoint Resistance and Temperature in Human Subjects
Published 2025-01-01“…It achieves a temperature measurement accuracy of 0.002-0.02°C within the range of 0-40°C. The detection error falls within the range of 10.5 to <inline-formula> <tex-math notation="LaTeX">$17.5\Omega $ </tex-math></inline-formula> within the range of 2.1K<inline-formula> <tex-math notation="LaTeX">$\Omega $ </tex-math></inline-formula> to 100K<inline-formula> <tex-math notation="LaTeX">$\Omega $ </tex-math></inline-formula>. …”
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A systematic review of neural network applications for groundwater level prediction
Published 2025-08-01“…The findings contribute to a deeper understanding of new trends in groundwater research such as the application of neural networks for prediction problems in groundwater research. …”
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Improving kinetic model fitting for total titratable acidity in bananas using genetic algorithms
Published 2025-06-01“…For optimization, Python-based GA was used to minimize the mean squared error (MSE) and evaluate performance based on R2, AIC, and BIC. …”
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