بدائل البحث:
modeling algorithm » making algorithm (توسيع البحث)
each algorithm » search algorithm (توسيع البحث), means algorithm (توسيع البحث)
data modeling » data modelling (توسيع البحث), data models (توسيع البحث)
develop based » developed based (توسيع البحث), develop masld (توسيع البحث), development based (توسيع البحث)
element each » element data (توسيع البحث), element mesh (توسيع البحث)
modeling algorithm » making algorithm (توسيع البحث)
each algorithm » search algorithm (توسيع البحث), means algorithm (توسيع البحث)
data modeling » data modelling (توسيع البحث), data models (توسيع البحث)
develop based » developed based (توسيع البحث), develop masld (توسيع البحث), development based (توسيع البحث)
element each » element data (توسيع البحث), element mesh (توسيع البحث)
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The run time for each algorithm in seconds.
منشور في 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.
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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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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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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