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method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
making algorithm » learning algorithm (Expand Search), finding algorithm (Expand Search), means algorithm (Expand Search)
data modeling » data modelling (Expand Search), data models (Expand Search)
data making » data backing (Expand Search), data mining (Expand Search), data tracking (Expand Search)
element » elements (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
making algorithm » learning algorithm (Expand Search), finding algorithm (Expand Search), means algorithm (Expand Search)
data modeling » data modelling (Expand Search), data models (Expand Search)
data making » data backing (Expand Search), data mining (Expand Search), data tracking (Expand Search)
element » elements (Expand Search)
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Architecture of AGAN algorithm model.
Published 2024“…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …”
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Ranking of ML algorithms.
Published 2025“…The AB model, on the other hand, has the highest error values in the test data set, but still provides an acceptable prediction accuracy. …”
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Evaluation of model aggregation algorithms.
Published 2024“…Additionally, the paper introduces the Gradient Similarity Model Aggregation (GSA) algorithm, which dynamically selects and weights updates from different models to reduce communication overhead. …”
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The overview of the ML algorithms’ flowchart.
Published 2025“…The AB model, on the other hand, has the highest error values in the test data set, but still provides an acceptable prediction accuracy. …”
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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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