بدائل البحث:
development based » developed based (توسيع البحث), development stages (توسيع البحث), development level (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
model algorithm » novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث), modeling algorithm (توسيع البحث)
data model » data models (توسيع البحث), data modeling (توسيع البحث)
development based » developed based (توسيع البحث), development stages (توسيع البحث), development level (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
model algorithm » novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث), modeling algorithm (توسيع البحث)
data model » data models (توسيع البحث), data modeling (توسيع البحث)
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Model-Based Clustering of Categorical Data Based on the Hamming Distance
منشور في 2024"…<p>A model-based approach is developed for clustering categorical data with no natural ordering. …"
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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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Data Sheet 1_Development and validation of an endoscopic diagnostic model for sessile serrated lesions based on machine learning algorithms.docx
منشور في 2025"…</p>Conclusion<p>This study represents the first application of an ML algorithm techniques to the endoscopic classification of serrated polyps. …"
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Types of machine learning algorithms.
منشور في 2024"…<div><p>Background and objectives</p><p>Child undernutrition is a leading global health concern, especially in low and middle-income developing countries, including Bangladesh. 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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