Search alternatives:
learning algorithm » learning algorithms (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
models algorithm » modeling algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
elements method » element method (Expand Search)
data learning » meta learning (Expand Search), deep learning (Expand Search), a learning (Expand Search)
learning algorithm » learning algorithms (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
models algorithm » modeling algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
elements method » element method (Expand Search)
data learning » meta learning (Expand Search), deep learning (Expand Search), a learning (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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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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DCA curves on testing data of eight machine learning algorithm models.
Published 2025“…<p>DCA curves on testing data of eight machine learning algorithm models.</p>…”
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ROC curves on testing data of eight machine learning algorithm models.
Published 2025“…<p>ROC curves on testing data of eight machine learning algorithm models.</p>…”
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Calibration curves on testing data of eight machine learning algorithm models.
Published 2025“…<p>Calibration curves on testing data of eight machine learning algorithm models.</p>…”
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Evaluation of model aggregation algorithms.
Published 2024“…To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. …”
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Types of machine learning algorithms.
Published 2024“…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.…”
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Comparison of the EODA algorithm with existing algorithms in terms of recall.
Published 2025Subjects: