بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
image learning » maze learning (توسيع البحث), aware learning (توسيع البحث), game learning (توسيع البحث)
based method » based methods (توسيع البحث)
element » elements (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
image learning » maze learning (توسيع البحث), aware learning (توسيع البحث), game learning (توسيع البحث)
based method » based methods (توسيع البحث)
element » elements (توسيع البحث)
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Convergence curve of the DBO algorithm.
منشور في 2025"…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …"
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Performance comparison of proposed CNN and feature extraction method with traditional machine learning algorithms for fine art image classification.
منشور في 2024"…<p>Performance comparison of proposed CNN and feature extraction method with traditional machine learning algorithms for fine art image classification.…"
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Dataset 2: Zip file containing the Tables of the presented method and results
منشور في 2025الموضوعات: -
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Image 1_Plagiarism types and detection methods: a systematic survey of algorithms in text analysis.jpeg
منشور في 2025"…This paper presents a systematic survey of various types of plagiarism and the detection algorithms employed in text analysis. We categorize plagiarism into distinct types, including verbatim, paraphrasing, translation, and idea-based plagiarism, discussing the nuances that make detection complex. …"
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Supplementary file 1_The value of unsupervised machine learning algorithms based on CT and MRI for predicting sarcopenia.doc
منشور في 2025"…Objectives<p>This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold partitioning, in predicting sarcopenia based on computed tomography (CT) and magnetic resonance imaging (MRI) data.…"
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Scatter diagram of different principal elements.
منشور في 2025"…<div><p>A fault diagnosis method for oil immersed transformers based on principal component analysis and SSA LightGBM is proposed to address the problem of low diagnostic accuracy caused by the complexity of current oil immersed transformer faults. …"
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