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modelling algorithm » modeling algorithm (Expand Search), processing algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
model algorithm » novel algorithm (Expand Search), modbo algorithm (Expand Search), modeling algorithm (Expand Search)
data model » data models (Expand Search), data modeling (Expand Search)
modelling algorithm » modeling algorithm (Expand Search), processing algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
model algorithm » novel algorithm (Expand Search), modbo algorithm (Expand Search), modeling algorithm (Expand Search)
data model » data models (Expand Search), data modeling (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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Comparison results of prediction model with single algorithm and combination algorithm.
Published 2025Subjects: -
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The run time for each algorithm in seconds.
Published 2025“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”
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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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