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modeling algorithm » making algorithm (Expand Search)
methods algorithm » means algorithm (Expand Search), network algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
data modeling » data modelling (Expand Search), data models (Expand Search)
based methods » mixed methods (Expand Search)
element » elements (Expand Search)
modeling algorithm » making algorithm (Expand Search)
methods algorithm » means algorithm (Expand Search), network algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
data modeling » data modelling (Expand Search), data models (Expand Search)
based methods » mixed methods (Expand Search)
element » elements (Expand Search)
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Process of facial feature extraction and recognition method based on ipca algorithm.
Published 2025“…<p>Process of facial feature extraction and recognition method based on ipca algorithm.</p>…”
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Scatter diagram of different principal elements.
Published 2025“…Finally, a transformer diagnostic model based on SSA-LightGBM was constructed, and the ten fold cross validation method was used to verify the classification ability of the model. …”
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Model-Based Clustering of Categorical Data Based on the Hamming Distance
Published 2024“…<p>A model-based approach is developed for clustering categorical data with no natural ordering. …”
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Element model generation method with geometric distribution errors
Published 2025“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”
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Decision tree algorithms.
Published 2025“…We have used Random Forest, Bagging, and Boosting (AdaBoost) algorithms and have compared their performances. We have used decision tree (C4.5) as the base classifier of Random Forest and AdaBoost classifiers and naïve Bayes classifier as the base classifier of the Bagging model. …”
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Convergence curve of the DBO algorithm.
Published 2025“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”
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