بدائل البحث:
models algorithm » modeling algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
data algorithm » data algorithms (توسيع البحث), update algorithm (توسيع البحث), atlas algorithm (توسيع البحث)
develop based » developed based (توسيع البحث), develop masld (توسيع البحث), development based (توسيع البحث)
models algorithm » modeling algorithm (توسيع البحث), novel algorithm (توسيع البحث), modbo algorithm (توسيع البحث)
data algorithm » data algorithms (توسيع البحث), update algorithm (توسيع البحث), atlas algorithm (توسيع البحث)
develop based » developed based (توسيع البحث), develop masld (توسيع البحث), development based (توسيع البحث)
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A schematic diagram of the settlement spatial distribution model based on factor analysis integrated with the hierarchical clustering algorithm.
منشور في 2025الموضوعات: "…original multidimensional data…"
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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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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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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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Data Sheet 1_Development and validation of an endoscopic diagnostic model for sessile serrated lesions based on machine learning algorithms.docx
منشور في 2025"…Background and aims<p>Sessile serrated lesions (SSLs) are morphologically subtle and often misclassified as hyperplastic polyps (HPs), increasing colorectal cancer risks. We developed a machine learning (ML) model to improve endoscopic SSL diagnosis.…"
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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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Comparison of homomorphic encryption 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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