Search alternatives:
learning method » learning methods (Expand Search)
linear decrease » linear increase (Expand Search)
marked decrease » marked increase (Expand Search)
a linear » _ linear (Expand Search)
a marked » _ marked (Expand Search), a marker (Expand Search), a market (Expand Search)
learning method » learning methods (Expand Search)
linear decrease » linear increase (Expand Search)
marked decrease » marked increase (Expand Search)
a linear » _ linear (Expand Search)
a marked » _ marked (Expand Search), a marker (Expand Search), a market (Expand Search)
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Obstacle uniform linear motion scenarios.
Published 2025“…Simulation-based experimental results demonstrate that, under complex obstacle motion scenarios, the proposed method achieves a 55.8% reduction in trajectory tracking error compared with recently proposed improved APF methods and a 41.5% decrease relative to Dynamic Movement Primitives (DMP) baselines. …”
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STL Linear Combination Forecast Graph.
Published 2025“…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”
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Linear covariate analysis of prognostically significant metabolites. Presenting the effect sizes of metabolites that showed significant differences among prognostic groups in ICU-treated COVID-19 patients. Metabolites were included based on an F-value > 2.5 and a p-value < 0.05. Metabolites marked with a single asterisk (*) were significant in both two-way ANOVA and ASCA, whereas those marked with double asterisks (**) were significant only in two-way ANOVA....
Published 2025“…Metabolites were included based on an F-value > 2.5 and a p-value < 0.05. Metabolites marked with a single asterisk (*) were significant in both two-way ANOVA and ASCA, whereas those marked with double asterisks (**) were significant only in two-way ANOVA. …”
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