Search alternatives:
predictive modeling » predictive model (Expand Search), predictive models (Expand Search)
modeling algorithm » making algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), finding algorithm (Expand Search), routing algorithm (Expand Search)
g algorithm » _ algorithm (Expand Search), b algorithm (Expand Search), gnb algorithm (Expand Search)
element g » element _ (Expand Search), elements _ (Expand Search)
predictive modeling » predictive model (Expand Search), predictive models (Expand Search)
modeling algorithm » making algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), finding algorithm (Expand Search), routing algorithm (Expand Search)
g algorithm » _ algorithm (Expand Search), b algorithm (Expand Search), gnb algorithm (Expand Search)
element g » element _ (Expand Search), elements _ (Expand Search)
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Convergence curve of the DBO algorithm.
Published 2025“…The experimental results show that the root mean square error (RMSE) accuracy of the established roughness prediction model reaches 0.0001 µm, the proposed force control method is more stable, and the surface roughness is reduced by 20.79% on average compared to the baseline method, which proves the effectiveness of the framework in achieving high precision and high efficiency of robot polishing.…”
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The run time for each algorithm in seconds.
Published 2025“…<div><p>In this paper, we study a class of non-parametric regression models for predicting graph signals as a function of explanatory variables . …”
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Risk element category diagram.
Published 2025“…It can be summarized that the algorithmic model has good accuracy and robustness. …”
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Comparison results of prediction model with single algorithm and combination algorithm.
Published 2025Subjects: -
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Panel (a): Schematic diagram of model predictive control for optimising epidemic interventions.
Published 2025Subjects: -
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Pseudo code.
Published 2025“…On the basis of the traditional quota formulation model based on statistical theory, artificial neural networks are introduced, and regularization techniques and particle swarm optimization algorithms are taken to optimize the model performance. …”
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Parameters of the SVM algorithm with Gaussian kernel used to generate the predictive model.
Published 2025“…<p>Parameters of the SVM algorithm with Gaussian kernel used to generate the predictive model.…”
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Classification accuracy of different optimization algorithms and prediction models.
Published 2024“…<p>Classification accuracy of different optimization algorithms and prediction models.</p>…”
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