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modeling algorithm » making algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
linked algorithm » based algorithm (Expand Search), new algorithm (Expand Search), mining algorithm (Expand Search)
data modeling » data modelling (Expand Search), data models (Expand Search)
data linked » data linkage (Expand Search)
element » elements (Expand Search)
modeling algorithm » making algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
linked algorithm » based algorithm (Expand Search), new algorithm (Expand Search), mining algorithm (Expand Search)
data modeling » data modelling (Expand Search), data models (Expand Search)
data linked » data linkage (Expand Search)
element » elements (Expand Search)
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Algorithmic experimental parameter design.
Published 2024“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”
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AUC-ROC curves of LNG trade network link prediction via Six Machine Learning Algorithms.
Published 2025Subjects: -
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Spatial spectrum estimation for three algorithms.
Published 2024“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”
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Scatter diagram of different principal elements.
Published 2025“…The experimental results show that the SSA-LightGBM model proposed in this paper has an average fault diagnosis accuracy of 93.6% after SSA algorithm optimization, which is 3.6% higher than before optimization. …”
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Confusion Matrix for the Hybrid algorithms.
Published 2025“…Medical records from 3,000 King Abdulaziz University Hospital patients containing demographic, lifestyle, and lipid profile data were used to develop the models. For the first time, we utilized recommended machine learning algorithms to develop hybrid prediction models to reduce the number of significant KPIs while enhancing HbA1c prediction accuracy. …”
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The model of novel attention mechanism of GATs in predicting the potential links in LNGTN.
Published 2025Subjects: -
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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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