بدائل البحث:
selection algorithm » detection algorithm (توسيع البحث), detection algorithms (توسيع البحث), prediction algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
models algorithm » modeling algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
based selection » based detection (توسيع البحث)
selection algorithm » detection algorithm (توسيع البحث), detection algorithms (توسيع البحث), prediction algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
models algorithm » modeling algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
based selection » based detection (توسيع البحث)
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Evaluation of model aggregation algorithms.
منشور في 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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Overview of CINner’s mathematical model and simulation algorithm.
منشور في 2025"…Right: data available to be computed in each step (see S1 Notes). …"
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Algorithmic experimental parameter design.
منشور في 2024"…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…"
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Types of machine learning algorithms.
منشور في 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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Spatial spectrum estimation for three algorithms.
منشور في 2024"…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…"
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