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5a algorithm » coa algorithm (Expand Search), sac algorithm (Expand Search), _ algorithm (Expand Search)
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using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
complement 5a » complement _ (Expand Search), complement low (Expand Search)
5a algorithm » coa algorithm (Expand Search), sac algorithm (Expand Search), _ algorithm (Expand Search)
level » levels (Expand Search)
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Somatostatin (Parent compound) and major metabolites identified using both algorithms.
Published 2025Subjects: -
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Metabolites identified and extracted ion chromatogram of Semaglutide using MiM algorithm.
Published 2025Subjects: -
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False positives of the GLP-1 compound using both the MaM and MiM algorithms.
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RF Algorithm error rate of the model.
Published 2025“…The MARS method was shown to be the best model for describing fresh herbage yield, with the lowest values of RMSE, MAPE, SD ratio, MAE and RAE (137.7, 1.488, 0.072, 109.718 and 0.017, respectively), as well as the highest R<sup>2</sup> value (0.995) and adjusted R<sup>2</sup> value (0.991). The experimental results show that the MARS algorithm is the most suitable model for predicting fresh herbage yield in sorghum x sudangrass hybrid, providing a good alternative to other data mining algorithms.…”
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Model surface plots in MARS algorithm.
Published 2025“…The MARS method was shown to be the best model for describing fresh herbage yield, with the lowest values of RMSE, MAPE, SD ratio, MAE and RAE (137.7, 1.488, 0.072, 109.718 and 0.017, respectively), as well as the highest R<sup>2</sup> value (0.995) and adjusted R<sup>2</sup> value (0.991). The experimental results show that the MARS algorithm is the most suitable model for predicting fresh herbage yield in sorghum x sudangrass hybrid, providing a good alternative to other data mining algorithms.…”
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Comparison of experimental results of information entropy using different methods.
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Comparison of PCQI, IQE, and IQM experimental results using different methods.
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Raw experimental data.
Published 2025“…In this paper, we propose an efficient surrogate model, built using a Bayesian model updating approach combined with a random forest algorithm, to achieve high-precision calibration of material elastic constants. …”
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