بدائل البحث:
making algorithm » learning algorithm (توسيع البحث), finding algorithm (توسيع البحث), means algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
data modeling » data modelling (توسيع البحث), data models (توسيع البحث)
based making » based imaging (توسيع البحث), based mapping (توسيع البحث), based smoking (توسيع البحث)
making algorithm » learning algorithm (توسيع البحث), finding algorithm (توسيع البحث), means algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
data modeling » data modelling (توسيع البحث), data models (توسيع البحث)
based making » based imaging (توسيع البحث), based mapping (توسيع البحث), based smoking (توسيع البحث)
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Architecture of AGAN algorithm model.
منشور في 2024"…To address the issue of discrete missing data in cardiac disease, this paper proposes the AGAN (Attribute Generative Adversarial Nets) architecture for missing data filling, based on generative adversarial networks. This algorithm takes advantage of the strong learning ability of generative adversarial networks. …"
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Ranking of ML algorithms.
منشور في 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.
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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Algorithmic experimental parameter design.
منشور في 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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The overview of the ML algorithms’ flowchart.
منشور في 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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